We’re on a mission to make money work for everyone.
We’re waving goodbye to the complicated and confusing ways of traditional banking.
After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as <a href="https://monzo.com/current-account/personal" rel="nofollow ugc noopener" target="_blank">personal</a> and <a href="https://monzo.com/business-banking" rel="nofollow ugc noopener" target="_blank">business</a> bank accounts, we offer <a href="https://monzo.com/current-account/joint-account" rel="nofollow ugc noopener" target="_blank">joint accounts</a>, <a href="https://monzo.com/current-account/16-17" rel="nofollow ugc noopener" target="_blank">accounts for 16-17 year olds</a>, a <a href="https://monzo.com/current-account/under-16s" rel="nofollow ugc noopener" target="_blank">free kids account</a> and <a href="https://monzo.com/flex" rel="nofollow ugc noopener" target="_blank">credit cards</a> in the UK, with more exciting things to come beyond. Our UK customers can also <a href="https://monzo.com/savings" rel="nofollow ugc noopener" target="_blank">save</a>, <a href="https://monzo.com/investments" rel="nofollow ugc noopener" target="_blank">invest </a>and <a href="https://monzo.com/pensions" rel="nofollow ugc noopener" target="_blank">combine their pensions</a> with us. 
With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers!
We’re not about selling products - we want to solve problems and change lives through <a href="https://jobicy.com/company/monzo" target="_blank" rel="noopener">Monzo</a> ❤️
<hr>
<h3>London or Barcelona | UK remote | £95,000 to £130,000 + Incentive Awards tied to your performance +<a href="https://monzo.com/careers/#benefits" rel="nofollow ugc noopener" target="_blank"> Benefits</a>|<a href="https://monzo.com/blog/technology" rel="nofollow ugc noopener" target="_blank"> Technology</a> -<a href="https://monzo.com/blog/data" rel="nofollow ugc noopener" target="_blank"> Data</a> </h3>
<h3>About our Data Science Teams:</h3>
We're looking for a Lead Data Scientist excited to help build the bank of the future. You'll have the opportunity to super charge our user engagement in 2026 and help us to build a bank that customers truly love.
At Monzo, we're building a bank that is fair, transparent and a delight to use. We’re growing extremely fast and have over 11 million customers in the UK. We’ve built a product that people love and more than 80% of our growth comes from word of mouth and referrals.
Enable Monzo to Make Better Decisions, Faster
We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data scientists the head space to focus on more impactful business questions and analyses.
How we hire
We are excited to be expanding and are hiring for multiple roles across our Data Science teams! Whether your interests lie in Borrowing, Growth, Payments, Fincrime, Wealth, or Core, we are looking for talented individuals with a versatile skill set to contribute across our squads. While we allocate teams after the interview process, we aim to match your skills and aspirations with the most suitable role. Throughout the process, you will meet team members from across our Data Science collectives, who will guide you through the opportunities available. Join us and be part of shaping our future!
<h3>What you’ll be working on:</h3>
<ul>
<li>Lead the data strategy and continue to evolve Monzo for our customers to make it magically simple to manage money day-to-day</li>
<li>Develop and execute best practices for experimentation enabling our team to make data informed decisions</li>
<li>Collaboratively set standards and work with data across Monzo, fostering knowledge sharing and continuously improving data practices.</li>
<li>Work closely with leaders in product, engineering, design and research to build and iterate on product ideas </li>
</ul>
<h3>You should apply if:</h3>
<ul>
<li>You enjoy working with cross functional fast moving teams</li>
<li>You are able to think strategically about commercial products and how decisions using data can unlock more value for our customers</li>
<li>You are excited about mentoring other data scientists and analytics engineers </li>
<li>You are excited by experimentation and utilising new data techniques to solve challenging problems </li>
<li>You want to understand the nuances of our data and are excited about laying the key foundational knowledge for our new products and features</li>
<li>You are opinionated about how to think about measuring success and are willing to challenge the status quo</li>
</ul>
The interview process:
Our interview process involves: 
<ul>
<li>Recruiter Call</li>
<li>Initial Call </li>
<li>Technical assessment</li>
<li>Final Interviews</li>
<ul>
<li>Business Fit/Collaboration</li>
<li>Case Study</li>
<li>Technical Interview</li>
</ul>
</ul>
Our average process takes around 2-3 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process.
One of our recruiters has written a blog on the process, for extra details, hints and tips please see<a href="https://monzo.com/blog/2022/03/21/data-hiring-at-monzo" rel="nofollow ugc noopener" target="_blank"> Data Hiring at Monzo</a>
<h3>What’s in it for you:</h3>
 £95,000 to £130,000 + Incentive Awards tied to your performance + Benefits
✈️ We can help you relocate to the UK or Spain
✅ We can sponsor visas 
This role can be based in our London or Barcelona offices, but we're also open to distributed working within the UK (with ad hoc meetings in London).
⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.
Learning budget of £1,000 a year for books, training courses and conferences
➕And much more, see our full list of benefits <a href="https://monzo.com/careers/" rel="nofollow ugc noopener" target="_blank">here</a>
If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance.

#LI-NB2 #LI-Remote
<hr>
Equal opportunities for everyone
Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our <a href="https://monzo.com/blog/diversity-and-inclusion" rel="nofollow ugc noopener" target="_blank">blog</a>, 2026 <a href="https://monzo.com/blog/our-2026-diversity-and-inclusion-report" rel="nofollow ugc noopener" target="_blank">Diversity and Inclusion Report</a> and 2025 <a href="https://monzo.com/blog/gender-pay-gap-report-2025" rel="nofollow ugc noopener" target="_blank">Gender Pay Gap Report.</a>
We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status.
If you have a preferred name, please use it to apply. We don't need full or birth names at application stage

Lead Data Scientist

We’re on a mission to make money work for everyone.
We’re waving goodbye to the complicated and confusing ways of traditional banking.
After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as <a href="https://monzo.com/current-account/personal" rel="nofollow ugc noopener" target="_blank">personal</a> and <a href="https://monzo.com/business-banking" rel="nofollow ugc noopener" target="_blank">business</a> bank accounts, we offer <a href="https://monzo.com/current-account/joint-account" rel="nofollow ugc noopener" target="_blank">joint accounts</a>, <a href="https://monzo.com/current-account/16-17" rel="nofollow ugc noopener" target="_blank">accounts for 16-17 year olds</a>, a <a href="https://monzo.com/current-account/under-16s" rel="nofollow ugc noopener" target="_blank">free kids account</a> and <a href="https://monzo.com/flex" rel="nofollow ugc noopener" target="_blank">credit cards</a> in the UK, with more exciting things to come beyond. Our UK customers can also <a href="https://monzo.com/savings" rel="nofollow ugc noopener" target="_blank">save</a>, <a href="https://monzo.com/investments" rel="nofollow ugc noopener" target="_blank">invest </a>and <a href="https://monzo.com/pensions" rel="nofollow ugc noopener" target="_blank">combine their pensions</a> with us. 
With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers!
We’re not about selling products - we want to solve problems and change lives through <a href="https://jobicy.com/company/monzo" target="_blank" rel="noopener">Monzo</a> ❤️
<hr>
London/Cardiff/UK Remote | £115,000 - £150,000 + Incentive Awards tied to your performance + <a href="https://monzo.com/careers/" rel="nofollow ugc noopener" target="_blank">Benefits</a> ✨
<h3>About our Machine Learning Business Banking team</h3>
Our mission in Business Banking is to simplify banking for small businesses; making business banking fairer, simpler and more transparent. Monzo Business Banking is fast-growing, is the UK’s most recommended business account for overall service quality. We recently hit 1 million customers and are used by 1 in 6 UK SMEs.
We want to help businesses spend less time on financial admin and more time focused on running and growing their business. We’re building intelligent, data-driven and AI/ML-enabled product experiences that help small businesses feel more in control, make better decisions, and get more value from Monzo.
ML is at the core of how we build and scale our products, enabling Monzo to make better decisions, faster, and helping us serve businesses more effectively.
As a Lead Machine Learning Scientist in Business Banking, you’ll help build and ship models that power the next generation of Business Banking experiences. You’ll work closely with Product, Engineering, Design, Research, Data Science and Analytics Engineering to bring ML-enabled product capability into the heart of how we build for businesses.
Whether it’s helping businesses understand their cash flow, reducing manual admin, surfacing the right insight at the right moment, or helping teams build intelligent product experiences responsibly, our work makes business banking smarter, simpler and more useful for SMEs.

<h3>What you'll be working on</h3>
As a Lead Machine Learning Scientist, you’ll be a technical leader and hands-on individual contributor, spearheading our ML and GenAI capabilities and shipping key models that powers magical Business Banking experiences.
You’ll:
<ul>
<li>Be one of the first ML Scientists in Business Banking, bringing leadership through ambiguity by adding structure and direction to our ML capabilities while staying agile and building momentum.</li>
<li>Develop and deploy advanced ML models on our cloud-native data platform to serve hundreds of thousands of business customers.</li>
<li>Partner with Product, data science and other stakeholders to identify the highest-impact opportunities, size impact, and define success metrics.</li>
<li>Decide when to use ML, GenAI, or simpler approaches and be clear on trade-offs.</li>
<li>Design robust evaluation and monitoring so we can ship responsibly and measure impact in production.</li>
<li>Lead the design and implementation of batch and near-real-time models (e.g. LLM-powered experiences, predictive models, time-series forecasting).</li>
<li>Collaborate closely with MLOps and Backend Engineering to operationalise models end-to-end and raise the bar on ML lifecycle rigor.</li>
<li>Set technical standards, mentor others, and support experimentation and iteration.</li>
</ul>
<h3>You should apply if</h3>
What we’re doing here at Monzo excites you!
<ul>
<li>You have a multiple year track record of excellence leading the development and deployment of advanced Machine Learning models to tackle real business problems, preferably in a fast-moving tech company.</li>
<li>You have experience developing and shipping state-of-the-art ML models to production and delivering business impact.</li>
<li>You're impact-driven and excited to own the end-to-end journey that starts with a business problem and ends with your solution having a measurable impact in production.</li>
<li>You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so.</li>
<li>You speak Python fluently and have extensive, hands-on experience with <code>scikit-learn</code>. You are comfortable using SQL, and keen to learn Go, which is used in many of our backend microservices.</li>
<li>You’re comfortable working in a team that deals with ambiguity and have experience helping your team and stakeholders resolve that ambiguity.</li>
<li>You want to be involved in building a product that small businesses use to run and manage their financial lives every day.</li>
<li>You have a product mindset: you care about customer outcomes and you want to make data-informed decisions.</li>
<li>You’re excited about fast-moving developments in Machine Learning and AI and can communicate those ideas to colleagues who are not familiar with the domain.</li>
<li>You’re adaptable, curious and enjoy learning new technologies and ideas.</li>
<li>You’re excited by the opportunity to help Business Banking evolve into AI and ML-enabled product capability.</li>
<li>You can work closely with Product, Engineering, Design, Research and Data colleagues to shape product strategy, clarify trade-offs and build things that customers actually use.</li>
<li>You’re thoughtful about responsible ML/AI; especially in financial products where trust, transparency and customer control matter.</li>
</ul>
<h3>Nice to haves</h3>
<ul>
<li>Experience working on personalisation, ranking, recommendation, forecasting, classification or decisioning problems for customer-facing applications.</li>
<li>Experience working on ML systems for fintech, banking, accounting, payments, lending, invoicing, cash flow, tax, risk or business software.</li>
<li>Experience with GenAI, LLMs, agentic workflows, retrieval, evaluation frameworks, or human-in-the-loop product experiences.</li>
<li>Commercial experience writing critical production code and working with microservices.</li>
<li>Experience designing experiments, A/B tests or other approaches to measure product and customer impact.</li>
<li>Experience working in regulated environments or with products where explainability, auditability and customer trust are especially important.</li>
</ul>
<h3>The interview process</h3>
Our interview process involves 3 main stages. We promise not to ask you any brain teasers or trick questions!
30 minute recruiter call
45 minute call with hiring manager
Full Loop: ML Modelling Interview, Product &amp; ML interview, Behavioural Interview, Leadership interview
Our average process takes around 3-4 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on <a href="mailto:tech-hiring@monzo.com" rel="nofollow ugc noopener" target="_blank">tech-hiring@monzo.com</a>. Please also use that email to let us know if there's anything we can do to make your application process easier for you, because of disability, neurodiversity or any other personal reason.
<h3>What’s in it for you</h3>
✈️ We can help you relocate to the UK
✅ We can sponsor visas
This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London).
⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.
Learning budget of £1,000 a year for training courses and conferences
➕And much more, see our full list of benefits <a href="https://monzo.com/careers/" rel="nofollow ugc noopener" target="_blank">here</a>
If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance
#LI-REMOTE #LI-SR1
<hr>
Equal opportunities for everyone
Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our <a href="https://monzo.com/blog/diversity-and-inclusion" rel="nofollow ugc noopener" target="_blank">blog</a>, 2026 <a href="https://monzo.com/blog/our-2026-diversity-and-inclusion-report" rel="nofollow ugc noopener" target="_blank">Diversity and Inclusion Report</a> and 2025 <a href="https://monzo.com/blog/gender-pay-gap-report-2025" rel="nofollow ugc noopener" target="_blank">Gender Pay Gap Report.</a>
We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status.
If you have a preferred name, please use it to apply. We don't need full or birth names at application stage

Lead Machine Learning Scientist, Business Banking

<h3>About <a href="https://jobicy.com/company/tile" target="_blank" rel="noopener">Life360</a></h3>
Life360’s mission is to keep people close to the ones they love. Our category-leading mobile app, Tile tracking devices, and Pet GPS tracker empower members to protect the people, pets, and things they care about most with a range of services, including location sharing, safe driver reports, and crash detection with emergency dispatch. Life360 serves approximately 102.4 million monthly active users (MAU), as of June 30, 2026, across more than 180 countries. 
Life360 delivers peace of mind and enhances everyday family life with seamless coordination for all the moments that matter, big and small. By continuing to innovate and deliver for our customers, we have become a household name and the must-have mobile-based membership for families (and those friends who are basically family).
Life360 has more than 500 (and growing!) remote-first employees. For more information, please visit <a href="http://life360.com/" rel="nofollow ugc noopener" target="_blank">life360.com</a>.
Life360 is a Remote First company, which means a remote work environment will be the primary experience for all employees. All positions, unless otherwise specified, can be performed remotely (within the US and Canada) regardless of any specified location above. 
<h3>We are AI Native</h3>
We are building an AI native company where AI is an integral part of how we build and operate. AI tool usage during interviews varies by role. You may be asked to demonstrate proficiency with AI tools, discuss how you leverage AI, or complete interview exercises without AI assistance. Your Recruiter will provide clear guidance as you move through the interview process.
Undisclosed use of AI not previously discussed with or approved by your Recruiter may impact your candidacy.
<h3>About The Team</h3>
The Revenue Experimentation team (Direct Revenue org) is the engine behind how we grow and monetize Life360 responsibly. We design, ship, and analyze high-velocity experiments across ads, subscriptions, and one-time purchases — pricing, paywalls, ad placement and mediation, upsell and upgrade flows — so every monetization decision is grounded in evidence, not instinct. Our work directly shapes the revenue behind nearly 100 million members. We are a product-minded, AI-Native engineering team. AI isn't just a tool we use — it's how we work. We treat it as a first-class collaborator at every stage: ideation, coding, testing, review, and iteration. We ship faster and go deeper because of it, and we're looking for someone who wants to help define what that looks like at scale.
<h3>About the Job</h3>
As a Lead Data Scientist, you will own the path from revenue opportunity to production ML for Direct Revenue, the business unit responsible for growing active users, subscriptions, revenue-generating transactions, and in-app advertising across Life360's more than 100 million monthly active users. You will find the opportunities, size them, agree on priorities with business leads, and ship the models alongside the team's data scientists and engineers. 
This role matters now because the team is expanding to cover consumer-facing ads, including recommendations and personalization, and needs a senior scientist who pairs a deep understanding of the problem with the ability to put models into production. In your first year, you will help the team scale the amount of production ML it delivers and help set the team's roadmap with the data science lead and the product manager.
For candidates based in the US, the salary range for this position is $175,000 to $218,000 USD. For candidates based out of Canada, the salary range for this position is $171,500 to $202,500 CAD. We take into consideration an individual's background, job-related knowledge, skills, and experience in determining final salary. Base pay may also vary based on geographic location, with US work locations falling into one of three geographic tiers.
Total compensation is inclusive of equity compensation in the form of Restricted Stock Units (RSUs), as well as a comprehensive benefits package, including medical, dental, vision, financial, and other benefits.
<h3>What You’ll Do</h3>
<ul>
<li>Conduct deep investigations into revenue-generating options and the data behind them, and use them to size, scope, and measure product changes in Databricks.</li>
<li>Design, build, deploy, and operate production ML systems, from batch inference to online services to online learning models, using the team's feature store and model registry, for personalization, experimentation, and automation use cases.</li>
<li>Partner with Product, Mobile Engineering, Cloud Engineering, Data Engineering, and MLOps to integrate these systems into user-facing features.</li>
<li>Set up monitoring for new ML-based features so their performance and business impact are measured.</li>
<li>Implement lineage tracking for data, code, and model artifacts to keep the ML lifecycle compliant, reproducible, and secure.</li>
<li>Improve the data ecosystem with Data Engineering, including the pipelines that feed experimentation and ML.</li>
<li>Mentor other data scientists and define best practices for advanced analytics and ML system development.</li>
<li>Use Claude Code and other AI tools across data discovery, modeling, and experiment evaluation.</li>
</ul>
<h3>What We’re Looking For</h3>
<h3>Expected Experience &amp; Qualifications</h3>
<ul>
<li>Education: advanced degree in a field that relies on sophisticated statistical analysis or equivalent industry experience.</li>
<li>Professional Experience: 6+ years of experience scoping, building, and analyzing ML-powered systems, including models you have shipped to production.</li>
<li>Programming Proficiency: Significant experience with Python and scikit-learn, PySpark, and causal inference programming languages, including familiarity with software engineering best practices (testing, modularization, version control, etc.).</li>
<li>Causal Inference: Technical training and professional experience applying modern causal inference and causal analysis techniques.</li>
<li>Instrumentation and Measurement: Significant experience working with found data, guiding instrumentation to generate new data, and implementing data transformations to support complex analyses and ML system development.</li>
<li>Experimentation: Hands-on experience setting up experiments in the consumer technology space, including experiment design, monitoring, and analysis of results.</li>
<li>Consumer Product Experience: Experience building ML or running experiments at a consumer (B2C) technology company, ideally on revenue work such as subscriptions, transactions, or ads.</li>
<li>Communication and Leadership: Strong communication and project leadership skills, with the ability to influence cross-functional teams.</li>
<li>Problem Solving: Strong capability to solve ambiguous problems in a structured, hypothesis-driven, data-supported way.</li>
<li>Generative AI &amp; LLMs: Prior experience leveraging LLMs in advanced data processing and analysis workflows.</li>
</ul>
<h3>Preferred Qualifications</h3>
<ul>
<li>Digital Advertising: Experience with modern digital advertising, including ad tech infrastructure.</li>
<li>Feeds and Ranking: Experience with ranking and grouping algorithms for content feeds.</li>
<li>Advanced Tooling: Experience contributing to and managing production feature stores and ML model registries.</li>
<li>Revenue Partnership: Experience working with product line GMs, including familiarity with revenue reporting and forecasting analyses.</li>
<li>Subscription Products: Experience in subscription-based products, lifecycle marketing, or user acquisition.</li>
<li>Geospatial: Experience with geospatial data and mobile location-based services.</li>
</ul>
<h3>AI-Native Expectations</h3>
<ul>
<li>Daily use: Running parallel workstreams instead of hand-holding one agent at a time.</li>
<li>Judgment and ownership: Review AI-generated code, analyses, and models as critically as a colleague's pull request. You are accountable for everything you ship, whoever or whatever wrote it.</li>
<li>Velocity: Turn AI fluency into output. We expect you to deliver more production ML, faster, than the same work would take without AI.</li>
<li>Team leadership: Share your AI workflows with the team and raise the AI fluency of the data scientists and engineers around you.</li>
<li>Continuous learning: Keep up with new AI tools and techniques, test them on real team problems, and bring recommendations to the team.</li>
</ul>
<h3>Our Benefits</h3>
<ul>
<li>Medical, dental, vision, life and disability insurance plans (100% paid for US employees). We offer life and disability as well as supplemental plans for medical and dental for Canadian employees.</li>
<li>401(k) plan with company matching program in the US and RRSP with DPSP plan for Canadian employees.</li>
<li>Paid parental leave.</li>
<li>Mental Wellness Program &amp; Employee Assistance Program (EAP) for mental well-being.</li>
<li>Generous time off: flexible PTO, companywide holidays throughout the year plus summer and winter shutdowns.</li>
<li>Learning &amp; Development programs.</li>
<li>Equipment, tools, and reimbursement support for a productive remote environment.</li>
<li>Free Life360 Platinum Membership and Tile trackers.</li>
</ul>
<h3>Life360 Values</h3>
Our company’s mission-driven culture is guided by our shared values to create a trusted work environment where you can bring your authentic self to work and make a positive difference 
<ul>
<li>Be a Good Person - We have a team of high integrity people you can trust. </li>
<li>Be Direct With Respect - We communicate directly, even when it’s hard.</li>
<li>Members Before Metrics - We focus on building an exceptional experience for families. </li>
<li>High Intensity, High Impact - We do whatever it takes to get the job done. </li>
</ul>
<h3>Our Commitment to Diversity</h3>
We believe that different ideas, perspectives and backgrounds create a stronger and more creative work environment that delivers better results. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us closer to our customers and the communities we serve. We strive to create a workplace that reflects the communities we serve and where everyone feels empowered to bring their authentic best selves to work.
We are an equal opportunity employer and value diversity at Life360. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any legally protected status. 
We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful. Even if you don’t meet 100% of the above qualifications, you should still seriously consider applying!

#LI-Remote

<div class="content-intro"><a href="https://himalayas.app/companies/affirm">Affirm</a> is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.</div><div>
On the ML Fraud team, you’ll build and improve machine learning systems that make real-time transaction decisions, protecting consumers and merchants while balancing fraud loss, customer experience, and conversion. You’ll work closely with experienced ML engineers, platform partners, and cross-functional stakeholders to take models from idea to prototype to production, and to keep them healthy with strong measurement and monitoring as fraud patterns evolve.
<h3>What you’ll do</h3>
- You will lead development of new fraud prediction models using a mix of approaches for tabular, graph, and behavioral data
- You will build and scale feature pipelines and training datasets from proprietary and third-party signals, partnering with data and platform teams when needed. 
- You will prototype new modeling ideas and features, run offline experiments, and drive the best-performing approaches into production with appropriate risk controls. 
- You productionize models: integrate into batch and/or real-time decision systems, and improve reliability, latency, and operational robustness. 
- You will instrument and monitor model and data health, and help define retraining/backtesting workflows as fraud patterns evolve.
- Identify and implement foundational improvements to how the team builds models.
- You will collaborate across Engineering, Fraud Analytics, Product, and ML Platform to define requirements, evaluate tradeoffs, and communicate results clearly to both technical and non-technical audiences. 
<h3>What we look for</h3>
- You have 6+ years experience researching, training, tuning and launching ML models at scale. Relevant PhD can count for up to 2 years of experience.
- Track record of delivering high impact machine learning models in a low latency live setting
- Strong Python skills and experience writing production-quality code.
- Experience building and evaluating models for tabular classification problems (preferably gradient-boosted decision trees like LightGBM/XGBoost/CatBoost, or similar). 
- Experience with a deep learning framework (PyTorch preferred).
- Experience working with distributed data processing or parallel compute frameworks (Spark preferred; Ray/Dask or similar). 
- Experience with ML lifecycle tooling for training orchestration, experimentation, and model monitoring (e.g., Kubeflow, Airflow, MLflow, or equivalent internal platforms).
- Proficient in using AI-powered developer tools (e.g., Claude Code, Cursor, or similar) to accelerate iteration, debugging, and code quality as part of day-to-day development workflows.
- You have mastered taking a simple problem or business scenario into a solution that interacts with multiple software components, and executing on it by writing clear, easily understood, well tested and extensible code.
- You are comfortable navigating a large code base, debugging others' code, and providing feedback to other engineers through code reviews.
- Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders.
- You have strong verbal and written communication skills that support effective collaboration with our global engineering team.
Pay Grade - N
<h3>Equity Grade - 6</h3>
Employees new to <a href="https://himalayas.app/companies/affirm">Affirm</a> typically come in at the start of the pay range. <a href="https://himalayas.app/companies/affirm">Affirm</a> focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by <a href="https://himalayas.app/companies/affirm">Affirm</a> Holdings, Inc. (parent company). CAN base pay range per year: $153,000 - $213,000
<h3>Location - Remote Canada</h3>
This remote role is open only to candidates residing in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan. 
</div><div class="content-conclusion">
<div>
<a href="https://himalayas.app/companies/affirm">Affirm</a> is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. <a href="https://himalayas.app/companies/affirm">Affirm</a>ers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned <a href="https://himalayas.app/companies/affirm">Affirm</a> office. A limited number of roles remain office-based due to the nature of their job responsibilities.
We’re extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include: 
<ul>
<li>Health care coverage - <a href="https://himalayas.app/companies/affirm">Affirm</a> covers all premiums for all levels of coverage for you and your dependents </li>
<li>Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses</li>
<li>Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge</li>
<li>ESPP - An employee stock purchase plan enabling you to buy shares of <a href="https://himalayas.app/companies/affirm">Affirm</a> at a discount</li>
</ul>
We believe It’s On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.
[For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, <a href="https://himalayas.app/companies/affirm">Affirm</a> will consider for employment qualified applicants with arrest and conviction records.
</div>
<div>By clicking "Submit Application," you acknowledge that you have read <a href="https://himalayas.app/companies/affirm">Affirm</a>'s Global Candidate Privacy Notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.</div>
</div>Originally posted on <a href="https://himalayas.app">Himalayas</a>

Senior Machine Learning Engineer (Fraud)

<img alt="" width="800"><h3>About Us</h3><a href="https://himalayas.app/companies/yipitdata">YipitData</a> is the leading market research and analytics firm for the disruptive economy. Our proprietary technology analyzes billions of alternative data points to uncover actionable insights. The world's top investment funds and Fortune 500 companies depend on our data to drive high-stakes decisions.We operate globally with offices in the US, APAC, and India. Our award-winning, people-centric culture—recognized by Inc. as a Best Workplace for three consecutive years—emphasizes transparency, ownership, and continuous mastery.<h3>What It's Like to Work Here</h3><ul>
<li>
Ownership is real, not aspirational. An analyst here can own a data product end-to-end—from methodology to client delivery—and directly influence products used by many of the world's largest investment firms.</li>
<li>
Growth is driven by impact, not tenure. Scope and responsibility expand as fast as you can demonstrate you're ready. We promote based on what you've done, not how long you've been here.</li>
<li>
AI is a core working tool. We're actively rebuilding how analytical work gets done—using AI agents, automation, and new tooling to fundamentally change what's possible. If you're excited by that, you'll thrive here.</li>
</ul><h3>About the Role</h3><a href="https://himalayas.app/companies/yipitdata">YipitData</a>'s Data Feeds team transforms our proprietary datasets into commercial data products used by many of the world's largest hedge funds, asset managers, and quantitative investors. Our products help investors answer questions about consumer spending, enterprise software adoption, cloud infrastructure, healthcare, and dozens of other markets—using proprietary datasets that clients integrate directly into their investment workflows.The Data Feeds team creates products that fit seamlessly into client investment workflows—whether that's through granular datasets, aggregated metrics, forecasting methodologies, APIs, or entirely new AI-powered product experiences.As an analyst on the team, you'll sit at the intersection of analytics, product, and commercialization. You'll partner closely with Product Managers, Central Data, Data Science, Engineering, Quant Research, and Client Strategy to continuously improve how clients consume and derive value from our data.We're hiring across multiple products, including:<ul>
<li>
Kepler — consumer transaction datasets powering institutional investment workflows through granular transaction data, aggregated metrics, and forecasting products.</li>
<li>
Summit — B2B spend datasets built from purchase and invoice data, helping investors understand enterprise software, industrials, healthcare, and other sectors.</li>
<li>
Edison – email receipt datasets built from one of the industry's largest anonymized inbox panels, helping investors track consumer purchases, subscriptions, travel, and digital commerce across thousands of merchants.</li>
<li>
SpendHound – Proprietary B2B software spend datasets built from ERP, expense, and invoice data, helping investors understand software adoption, customer retention, competitive dynamics, and enterprise technology spending.</li>
<li>
Cloud – Enterprise cloud infrastructure data covering AWS, Azure, Google Cloud, and Oracle Cloud, combining proprietary spend panels with pricing and capacity data to help investors understand cloud growth, AI infrastructure demand, and competitive dynamics.</li>
</ul>This role is different from a traditional Data Analyst position. Success isn't measured by how many analyses you complete. It's measured by the quality of the products you build, the customer problems you solve, and the leverage you create for clients and the business.We’re open to hiring this role at multiple levels. While the position is posted as Senior Data Analyst, we encourage applications from candidates with a range of experience who can demonstrate strong analytical judgment, ownership, and growth potential. Final title, scope, and compensation will be calibrated based on experience and demonstrated skills.<h3>As an analyst on the Data Feeds team, you will:</h3><ul>
<li>
Own commercial data products – Own products end-to-end, from methodology development and product QA to feature design and ongoing product evolution. Develop deep expertise in how your product works and the investment workflows it supports.</li>
<li>
Improve product quality through systems – Investigate complex data quality issues spanning upstream datasets, product methodologies, and downstream customer outputs. Build scalable monitoring, validation, and QA frameworks that improve quality while reducing manual effort.</li>
<li>
Shape the evolution of the product – Work with Product Managers, Data Science, and Central Data. Identify opportunities for new methodologies, additional datasets, forecasting capabilities, AI-powered features, and entirely new product offerings.</li>
<li>
Evaluate new data and methodologies – Analyze new internal and third-party datasets to determine whether they improve product accuracy, coverage, or customer value. Design experiments, quantify tradeoffs, and help determine what belongs in production.</li>
<li>
Turn customer feedback into better products - Partner with Product Managers, Client Strategy and directly with sophisticated investors to understand how products are being used. Translate customer questions, trial feedback, and support escalations into durable product improvements.</li>
<li>
Use AI to redesign analytical workflows – Leverage AI agents, automation, and evaluation frameworks to improve QA, documentation, methodology development, and customer-facing analytical experiences.</li>
<li>
Build the next generation of data products – Look beyond maintaining today's products. Identify opportunities to create new analytical capabilities, improve client workflows, and expand the ways customers interact with our data.</li>
</ul><h3>Example Projects</h3><h3>Over your first year, you might:</h3><ul>
<li>Design a new aggregation methodology that significantly improves the accuracy of a commercial transaction product.</li>
<li>Evaluate a new third-party dataset and determine whether it should become part of a production product.</li>
<li>Build automated QA monitors that proactively detect regressions before customers notice them.</li>
<li>Partner with Data Science to evaluate the impact of model improvements on customer-facing metrics.</li>
<li>Create an AI-powered workflow that dramatically reduces the time required to investigate complex customer-reported data issues.</li>
<li>Launch a new forecasting capability or AI-powered analytical feature that expands how clients use our products.</li>
</ul><h3>You Are Likely To Succeed If</h3><ul>
<li>
You have 4+ years of experience in data analytics, with a background in financial services, consulting, data science, product analytics, or another environment where complex data informs high-stakes decisions.</li>
<li>You have advanced SQL skills and experience using Python or PySpark to build reliable, reusable analytical workflows.</li>
<li>You enjoy building products—not just analyzing data—and naturally think about how information should be packaged, delivered, and experienced by customers.</li>
<li>You quickly develop strong mental models for complex datasets and enjoy reasoning through ambiguity to identify root causes and improve methodologies.</li>
<li>You have led complex cross-functional projects involving Product, Engineering, or analytical stakeholders and are comfortable driving work from idea to execution.</li>
<li>You know how to balance rigor with pragmatism, making thoughtful tradeoffs between speed, quality, and long-term product value.</li>
<li>You're skilled at working with messy, evolving datasets and enjoy creating structure, repeatability, and confidence in complex systems.</li>
<li>You communicate technical concepts clearly and can explain methodologies, assumptions, and tradeoffs to both technical teammates and business stakeholders.</li>
<li>You actively use AI tools and are excited about fundamentally changing how analytical products are built—not just making existing workflows more efficient.</li>
</ul><h3>What We Offer:</h3>Our compensation package includes comprehensive benefits, perks, and a competitive salary: <ul>
<li>We care about your personal life, and we mean it. We offer flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more!</li>
<li>Your growth at <a href="https://himalayas.app/companies/yipitdata">YipitData</a> is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at <a href="https://himalayas.app/companies/yipitdata">YipitData</a> is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust. See more on our high-impact, high-opportunity work environment above!</li>
<li>
The annual base compensation for this position is anticipated to be $140K–$190K, reflecting the range of levels at which we may hire. Final title, scope, and compensation will be determined based on the candidate’s experience, knowledge, skills, abilities, and internal team benchmarks.</li>
</ul>The total compensation package includes a mix of base, bonus, equity, and benefitsThis role may be performed fully remotely within the United States. Please note that our US headquarters are located in NYC. If the remote work is performed outside of these offices, income may be subject to New York State tax withholding.Please note that for this position, we are not able to consider candidates who currently or in the future will require visa sponsorship.We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity employer.Job Applicant Privacy NoticeOriginally posted on <a href="https://himalayas.app">Himalayas</a>

Senior Data Analyst, Data Feeds

<div>
The Koch Internship Program (KIP) is a paid experiential learning program run by <a href="https://himalayas.app/companies/stand-together">Stand Together</a> Fellowships that offers professional development, leadership training, and meaningful work experience at non-profits tackling some of our nation's most pressing policy challenges all over the United States. Early-career professionals including undergraduate/graduate/law students and recent graduates are encouraged to apply. Eligible candidates will be geographically located in and authorized to work in the United States through the duration of the program. Successful candidates will interview with both our non-profit partner organizations and <a href="https://himalayas.app/companies/stand-together">Stand Together</a> Fellowships staff, so we strongly encourage you to begin the admissions process early!</div><div>The Empire Center is looking for a talented individual for our policy data analyst role. Working as a policy data analyst at the Empire Center provides a unique work experience at a leading state-based think tank.</div><div>The Empire Center is dedicated to making New York a better place to live and work by promoting public policy reforms grounded in free-market principles, personal responsibility, and the ideals of effective and accountable government. Through research papers, policy briefings, commentaries and conferences, the think tank seeks to educate and inform New York State policymakers, news media and the general public.</div><div>The Empire Center’s policy data analysts are paired with Empire Center researchers whose focuses include taxes, government transparency, education, energy and healthcare. Primarily, policy data analysts will work alongside researchers, providing data analysis and visualizations for projects in these areas.</div><div>A strong applicant will have experience with Tableau (or other data visualization software), Microsoft Excel, extremely strong attention to detail, and a proven record of working independently.</div><div>
<a href="https://himalayas.app/companies/stand-together">Stand Together</a> Fellowships believes that diversity in experiences, perspectives, knowledge and ideas fuels creativity, broadens knowledge, and helps drive success. Our admissions office treats all program participants and applicants with honesty, dignity, respect and sensitivity. We welcome all qualified applicants regardless of color, race, religion, religious creed, sex, gender or gender identity, gender expression, sexual orientation, national origin, citizenship, ethnicity, ancestry, age, physical disability, mental disability, medical condition, pregnancy (including medical needs which may arise from pregnancy, childbirth, or related medical conditions), military and veteran status, genetic information, marital or familial status, political affiliation, or any other legally recognized protected basis under federal, state or local laws, regulations or ordinances. </div>Originally posted on <a href="https://himalayas.app">Himalayas</a>

KIP Spring 2027 - Policy Data Analyst Intern - Empire Center for Public Policy

<div class="content-intro"><div class="c-message_kit__blocks c-message_kit__blocks--rich_text">
<div class="c-message__message_blocks c-message__message_blocks--rich_text" data-qa="message-text">
<div class="p-block_kit_renderer" data-qa="block-kit-renderer">
<div class="p-block_kit_renderer__block_wrapper p-block_kit_renderer__block_wrapper--first">
<div class="p-rich_text_block">
<div class="p-rich_text_section">Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit <a class="c-link" href="http://www.redditinc.com/" target="_blank" data-stringify-link="http://redditinc.com" data-sk="tooltip_parent">www.redditinc.com</a>.</div>
</div>
</div>
</div>
</div>
</div></div>Location: Reddit has a flexible first workforce. Don't live near our office? No worries: you can work remotely from anywhere in the US or Canada.
<h3>About the Team</h3>
Reddit's Ads ML Efficiency team is focused on making machine learning workloads faster, more scalable, and more cost-efficient, enabling our Ads ML teams to develop, launch, and scale increasingly sophisticated models.
This role sits at the intersection of ML workloads, execution systems, and engineering leverage. The engineer will partner closely with ranking teams, serving owners, and ML Platform to identify important bottlenecks, implement targeted improvements, and connect execution and systems improvements to measurable end-to-end outcomes.
<h3>What you’ll do</h3>
<ul>
<li>Own end-to-end performance optimization initiatives for high-impact production ML workloads, from bottleneck identification and implementation through validation and production rollout.</li>
<li>Profile and diagnose ML performance bottlenecks across model execution, frameworks, runtimes, memory, CPU/GPU utilization, and infrastructure using rigorous benchmarking and measurement.</li>
<li>Design and implement performance improvements involving inference execution, runtime behavior, batching, memory management, precision, compiler integration, custom operators, kernels, or other relevant techniques.</li>
<li>Improve ML training and serving efficiency and scalability, optimizing latency, throughput, hardware utilization, and cost while maintaining model quality and production reliability.</li>
<li>Support faster and safer model launches through performance benchmarking, load testing, regression detection, and launch-readiness improvements.</li>
<li>Partner with model engineers and platform teams to identify high-leverage opportunities, integrate optimizations safely, and validate measurable end-to-end impact.</li>
<li>Build reusable performance capabilities, including benchmarks, tooling, optimization patterns, and engineering guidance that accelerate future model development and deployment.</li>
<li>Contribute to technical direction and mentor engineers through hands-on collaboration, code reviews, performance debugging, and knowledge sharing.</li>
</ul>
<h3>What we’re looking for</h3>
<ul>
<li>Hands-on ML performance engineering experience: Demonstrated ability to diagnose and implement meaningful performance improvements in production or production-relevant ML workloads.</li>
<li>Deep expertise in at least one ML performance area, such as inference execution, ML runtimes, compiler integration, GPU/kernel optimization, memory systems, or training execution.</li>
<li>Strong profiling and benchmarking skills: Ability to identify bottlenecks systematically, establish reliable baselines, and validate measurable end-to-end improvements.</li>
<li>Strong software engineering fundamentals: Experience implementing, debugging, testing, and maintaining performance-sensitive systems, with proficiency in Python and relevant systems programming technologies.</li>
<li>ML systems understanding: Familiarity with production ML frameworks and the performance trade-offs across model execution, runtime, memory, hardware, and infrastructure.</li>
<li>Production engineering judgment: Ability to balance performance improvements with numerical correctness, model quality, reliability, maintainability, and safe rollout.</li>
<li>Good customer and platform instincts: can solve concrete bottlenecks while keeping maintainability, adoption, and future reuse in mind.</li>
<li>Strong communication: able to explain tradeoffs clearly to engineers and partner teams.</li>
</ul>
<h3>Nice-to-have</h3>
<ul>
<li>Experience optimizing large-scale inference or training workloads, particularly in recommendation systems, ranking, search, or retrieval.</li>
<li>Experience with PyTorch, including performance optimization using technologies such as Dynamo, Inductor, AOTI, torch.export, or custom operators.</li>
<li>Experience with inference runtimes, GPU execution, or performance technologies such as TensorRT, ONNX Runtime, CUDA, Triton, LLVM/MLIR, or equivalent systems.</li>
<li>Experience with hardware-aware optimization, including batching, memory management, operator fusion, mixed precision, quantization, or accelerator efficiency.</li>
<li>Experience with distributed-training performance, including GPU utilization, communication, data loading, memory efficiency, or training step-time optimization.</li>
<li>Experience building performance benchmarks, profiling tools, regression detection, launch-readiness capabilities, or cost observability toolings for ML workloads.</li>
<li>Experience working across ML modeling, serving, and platform infrastructure teams.</li>
</ul>
Specialized compiler internals or custom CUDA/Triton kernel development are valuable but not required. We value demonstrated performance engineering depth, sound technical judgment, and measurable workload impact over familiarity with any particular tool or framework.
Benefits:
<ul>
<li>Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support</li>
<li>Family Planning Support</li>
<li>Gender-Affirming Care</li>
<li>Mental Health &amp; Coaching Benefits</li>
<li>Group Personal Pension Scheme with Employer match</li>
<li>Private Medical and Dental Scheme</li>
<li>Income Replacement Programs</li>
<li>Bike to Work scheme</li>
<li>Flexible Vacation &amp; Paid Volunteer Time Off</li>
<li>Generous Paid Parental Leave</li>
</ul><div class="content-pay-transparency"><div class="pay-input"><div class="description">Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit <a href="https://www.redditinc.com/careers/" target="_blank">https://www.redditinc.com/careers/</a>.
To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.</div><div class="title">The base salary range for this position is:</div><div class="pay-range">$216,700&mdash;$303,400 USD</div></div></div><div class="content-conclusion">In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.&nbsp; We will not sell your personal information or disclose it to any third party for their marketing purposes.&nbsp; We will delete any recording of your interview promptly after making a hiring decision.&nbsp; For more information about how we will handle your personal information, including our retention of it, please refer to our <a href="https://redditinc.com/policies/candidate-privacy-policy">Candidate Privacy Policy for Potential Employees and Contractors</a>.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.&nbsp; Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.</div>

Senior Machine Learning Engineer, Ads ML Efficiency

Who We Are Tinuiti is the largest independent full-funnel marketing agency in the U.S. across the media that matters most, with $4 billion in digital media under management and more than 1,200 employees. Built for marketers who demand growth and accountability, Tinuiti unites media and measurement under one roof to eliminate waste&#x2014;the biggest growth killer of all&#x2014;and scale what works. Its proprietary technology, Bliss Point by Tinuiti, reveals the truth around growth and waste, and how to capitalize on it. With expert teams across Commerce, Search, Social, TV &amp; Audio, and more, Tinuiti delivers measurable results with brutal simplicity: Love Growth. Hate Waste. We support 100% remote work for this role! We&#x2019;d Love To Hear From You If Research shows that while men apply to jobs when they meet an average of 60% of the criteria, women and other marginalized folks tend to only apply when they check every box. So if you think you qualify, but don&apos;t necessarily meet every single point on the job description, please still get in touch. As an Insights Lead Analyst, Commerce, you will be Tinuiti&#x2019;s hands-on analytics specialist for Amazon and Commerce data. You will use Amazon Marketing Cloud, Amazon Advertising, Amazon retail data, and related Commerce platforms to develop advanced analyses, custom reporting, testing approaches, and actionable insights that help Client Leads and Commerce teams make stronger decisions. Amazon is the core platform for this role. You will build deep expertise across Amazon Marketing Cloud, Amazon Advertising, and Amazon retail data, while applying your analytical skills to other retail-media platforms&#x2014;including Walmart Connect and Scintilla&#x2014;as client and business needs require. You will work closely with Client Leads, Commerce Media, Commerce Operations, and other internal delivery teams through high-quality analysis, client-ready narratives, and specialized platform expertise. You will participate in client discussions when technical or analytical depth is needed. Key Responsibilities Client&#x2011;Centric <ul><li>Partner with Client Leads and Commerce Leads to understand client objectives, performance questions, strategic moments, and analytical priorities.</li><li>Support Client and Commerce Leads with accurate data narratives, technical explanations, reporting, and client-ready recommendations.</li><li>Partner with Commerce Media and Commerce Operations teams to ensure insights inform planning, optimization, investment, and retail decisions.</li><li>Join client discussions, business reviews, and technical readouts when specialized Commerce expertise is needed.</li><li>Identify recurring analytical needs, risks, and growth opportunities that should be addressed through stronger analysis, testing, reporting, or measurement. </li></ul>Product&#x2011;Led <ul><li>Use Amazon Marketing Cloud, Amazon Advertising, Vendor Central, BI tools, dashboards, and relevant Commerce data environments to support insight generation and decision-making.</li><li>Build AMC queries and analyses across audiences, campaign performance, new-to-brand outcomes, path-to-purchase behavior, and other custom client questions.</li><li>Maintain working expertise in Amazon platform capabilities, retail data, and relevant Commerce environments such as Walmart Connect and Scintilla.</li><li>Identify opportunities to improve reporting, dashboarding, documentation, automation, and Commerce insight-delivery workflows.</li><li>Use approved AI and automation tools thoughtfully to improve data interrogation, pattern detection, and efficiency while validating outputs rigorously. </li></ul>Data &amp; Measurement&#x2011;Driven <ul><li>Query, validate, join, and interpret Amazon advertising and retail data across Sponsored Products, Sponsored Brands, Sponsored Display, Amazon DSP, and other relevant Commerce data sources.</li><li>Develop advanced and custom reporting, dashboards, visualizations, and performance narratives across key Commerce outcomes, including new-to-brand, share of voice, market share, total sales, and ASIN/SKU performance.</li><li>Translate Commerce data into clear findings and recommendations: what happened, why it matters, and what should happen next.</li><li>Design and analyze platform-specific tests, forecasts, scenarios, segmentation, and campaign evaluations that inform media, audience, product, and retail decisions.</li><li>Build practical, account-specific analytical solutions&#x2014;including lightweight models, scripts, and prototypes in SQL, Python, R, or approved tools&#x2014;when they answer a defined Commerce business question.</li><li>Maintain strong documentation and quality assurance across data sources, logic, methodologies, reporting, and analysis. </li></ul>The Tinuiti Way <ul><li>Maintain a holistic understanding of how Commerce media, marketplace dynamics, retail data, product performance, and client business goals fit together.</li><li>Keep analytical work focused on business questions, measurement judgment, and decision support&#x2014;not reporting or technical complexity for its own sake.</li><li>Partner with Econometrics, Data Science, Client Reporting, and technical teams when work requires formal model development, enterprise-scale reporting, productionization, or data-infrastructure changes.</li><li>Contribute reusable Commerce query logic, reporting approaches, analytical learnings, and platform best practices that strengthen the broader Insights and Commerce practices.</li><li>Stay current on Amazon platform changes, Commerce measurement practices, analytics tools, AI, and retail-media trends. </li></ul>Owner Mindset <ul><li>Take accountability for the quality, accuracy, timeliness, and usefulness of Commerce analyses, reporting, dashboards, and recommendations.</li><li>Prioritize effectively across Client Leads, Commerce teams, clients, and analytical workstreams.</li><li>Ask better questions, challenge assumptions, and turn broad requests into practical analytical approaches.</li><li>Surface data-quality issues, methodology limitations, missing inputs, and performance risks early, with a clear recommendation for next steps.</li><li>Improve workflows, documentation, automation, and analytical rigor over time. </li></ul>Professional &amp; Technical Qualifications <ul><li>5&#x2013;7 years of experience in Commerce analytics, retail media, e-commerce analytics, marketing analytics, business intelligence, or a related field.</li><li>Strong hands-on experience with Amazon Marketing Cloud, including SQL querying, audience analysis, campaign analysis, and custom analytical approaches.</li><li>Strong experience with Amazon Advertising and Amazon retail data, including Sponsored Ads, Amazon DSP, Vendor Central, and related Commerce performance metrics.</li><li>Strong SQL proficiency and experience with BI/visualization tools such as Tableau, Power BI, Looker Studio, or similar.</li><li>Strong understanding of Commerce measurement, including new-to-brand, share of voice, market share, product-level performance, total sales, forecasting, testing, and incrementality concepts.</li><li>Practical Python and/or R experience is preferred, particularly for custom analysis, forecasting, exploratory work, or lightweight modeling.</li><li>Strong data storytelling, documentation, quality-control, organization, and cross-functional collaboration skills.</li><li>Experience supporting Client Leads and Commerce account teams; direct client-facing experience is helpful but not the primary requirement.</li><li>Comfort using AI tools responsibly to improve analytical efficiency and insight generation. </li></ul>The hiring salary range for this role is $100,000 - $120,000. We also offer an incentive pay program (RevShare) comprising a monthly variable revenue payment opportunity and a discretionary annual performance bonus. Hiring salaries are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, parity with other team members, and alignment with market data. We will provide more information on our benefits, incentive pay, and equity upon request. Disclosure as required by the Colorado Equal Pay for &gt; Equal Work Act, C.R.S. <ul><li>8-5-101 et seq. </li></ul>FLSA Classification: Exempt We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Benefits Unlimited PTO: At Tinuiti, we believe you deserve time to rest, recharge, and enjoy life unplugged. When you prioritize time for yourself, you&apos;re able to bring your best self to work. That&#x2019;s why we offer unlimited paid time off, a fully remote environment, and flexibility to take the time you need, when you need it. On top of that, we provide 20 paid holidays, including multiple long weekends, to ensure you have dedicated time to step away and disconnect. We&apos;re proud to offer above-industry standard work-life balance, consistently rated as one of the most loved benefits by Tinuitians year after year. Healthcare: Medical, Dental, Vision, Life &amp; Disability, Flex Spending Accounts Retirement: Match up to 4% of your contributions at 100% Perks and Wellness: Fringe, Forma, Unlimited Telemedicine and Teletherapy available at no cost, Thankful giving, Equity Parental Leave: Birthing parents receive 16 weeks of leave with 100% pay (partners 12 weeks) after the birth or adoption of a child. Learning and Development: On-demand learning, mentorship program, leadership and management development programs and resources Disclaimer: This description has been designed to indicate the general nature and level of work performed by employees within this position. The actual duties, responsibilities, and qualifications may vary based on assignment or group. Tinuiti is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, gender, sexual orientation, gender identity or expression, religion, national origin, marital status, age, disability, veteran status, genetic information, or any other protected status.

Insights Lead Analyst, Amazon Focus

About OpenLoop OpenLoop was co-founded by CEO, Dr. Jon Lensing, and COO, Christian Williams, with the vision to bring care anywhere. Our telehealth support solutions are thoughtfully designed to streamline and simplify go-to-market care delivery for companies offering meaningful virtual support to patients across an expansive array of specialties, in all 50 states. Data Analyst II About The Role OpenLoop is looking for a Data Analyst II to join our team remotely. In this role, you&apos;ll independently own analytics for one or more business areas &#x2014; turning ambiguous business questions into clear, actionable insight that improves patient care, optimizes our platform, and drives key decisions. You&apos;ll analyze health-related data, surface trends in telemedicine usage, and partner directly with cross-functional teams to influence how we deliver and improve telehealth services. This is a role for someone who can run their own analytical workstreams end-to-end with minimal direction. What You&#x2019;ll Do: <ul><li>Own analytics for one or more business areas (e.g., Customer Success, Operations, Patient Support) end-to-end &#x2014; from framing the problem to delivering the recommendation.</li><li>Independently scope ambiguous business questions into structured analyses, with limited guidance on approach.</li><li>Write and optimize SQL to pull, clean, and analyze data from multiple sources, ensuring integrity and accuracy.</li><li>Apply statistical techniques and tools (SQL, Excel, R, Python) to identify trends, patterns, and anomalies.</li><li>Build and maintain KPI frameworks, dashboards, and visualizations that stakeholders rely on to make decisions.</li><li>Partner directly with cross-functional stakeholders (finance, operations, customer success) to shape their data needs and influence outcomes with your insights.</li><li>Proactively identify and drive improvements to data collection and analysis processes. </li></ul>Who You Are: <ul><li>Bachelor&apos;s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.</li><li>3&#x2013;5 years of experience as a data analyst or in a similar role.</li><li>Demonstrated hands-on SQL depth &#x2014; able to write and troubleshoot queries independently (required).</li><li>Proficiency in Excel and data visualization tools (e.g., Tableau, Power BI).</li><li>Proven ability to work independently through ambiguity, managing competing priorities without close oversight.</li><li>Strong communication skills, with the ability to translate complex data into stakeholder-ready recommendations that drive action.</li><li>Effective both independently and as part of a team.</li><li>Proficiency in Zoho Analytics strongly preferred. </li></ul>About OpenLoop OpenLoop was co-founded by CEO, Dr. Jon Lensing, and COO, Christian Williams, with the vision to bring healing anywhere. Our telehealth support solutions are thoughtfully designed to streamline and simplify go-to-market care delivery for companies offering meaningful virtual support to patients across an expansive array of specialties, in all 50 states. Our Company We have a relatively flat organizational structure here at OpenLoop. Everyone is encouraged to bring ideas to the table and make things happen. This fits in well with our core values of Autonomy, Competence and Belonging, as we want everyone to feel empowered and supported to do their best work. Sound like a good fit? We&#x2019;d love to meet you. Our Benefits In addition, for salaried positions you would also be eligible for: <ul><li>Medical, Dental, and Vision plans</li><li>Flexible Spending/Health Savings Accounts</li><li>Flexible PTO</li><li>401(k) + Company Match</li><li>Life Insurance, Pet insurance, and more </li></ul>Our Company We have a relatively flat organizational structure here at OpenLoop. Everyone is encouraged to bring ideas to the table and make things happen. This fits in well with our core values of Autonomy, Competence and Belonging, as we want everyone to feel empowered and supported to do their best work. Sound like a good fit? We&#x2019;d love to meet you.

Data Analyst II

This is a Fully Remote Job About Our Client:The organization operates in the mental health industry, addressing the substantial global challenge of limited access to quality mental healthcare. It provides an agentic behavioral health platform designed to deliver therapy and support to a broad user base, aiming to make therapy accessible and effective for millions. About the Opportunity:The DATA ANALYST role is central to enhancing the organization&#x2019;s behavioral health platform through data-driven insights. This position supports product development and operational strategies by analyzing complex data sets, collaborating across teams, and communicating findings to both technical and non-technical stakeholders. The role is impactful in shaping decision-making processes and improving user and provider engagement. Responsibilities:<ul><li>Develop and refine data visualizations and dashboards to communicate outcomes and engagement trends.</li><li>Automate quality reports and network performance monitoring.</li><li>Analyze user pathways, business results, and provider network dynamics.</li><li>Perform quantitative analyses using SQL and Python.</li><li>Provide data-driven insights to support product and network operations.</li><li>Collaborate with cross-functional teams to translate data into actionable strategies.</li><li>Present recommendations to senior leadership.</li><li>Design and maintain scalable data models and support data ingestion processes.</li><li>Analyze platform performance metrics such as model accuracy and user adherence.</li></ul> Requirements:<ul><li>3 to 5 years of experience in an analytical role; healthcare data experience a plus.</li><li>Bachelor&#x2019;s degree in a quantitative field or equivalent experience.</li><li>Proficiency in SQL, Python, and spreadsheet software.</li><li>Strong skills in statistics and data manipulation.</li><li>Advanced expertise in data visualization tools like Looker or Tableau.</li><li>Experience with product analytics tools such as Mixpanel.</li><li>Familiarity with GenAI tools is advantageous.</li></ul> Pay Range and Compensation Package:<ul><li>Base salary range is $110,000 to $130,000, determined by experience, skills, education, and certifications.</li></ul> Benefits &amp; Perks:<ul><li>Comprehensive medical, dental, and vision insurance.</li><li>Pre-tax benefits including HSA and FSA.</li><li>401(k) retirement savings program with matching up to 4%.</li><li>Voluntary benefits such as disability and life insurance.</li><li>Monthly wellness stipend.</li><li>Flexible paid time off and remote work environment.</li><li>Regular team events and wellness workshops.</li><li>Free access to mental health products for employees and household members, plus discounts for friends and family.</li></ul> Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin. Note:TalentHop is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.

Data Analyst

What We Can Achieve Together The Senior BI Analyst executes design and implementation of creative and effective data solutions to fulfill the requirements and strategic objectives of Conservancy business areas such as Finance, Human Resources, and Conservation programs. This is a highly collaborative role combining technical expertise and partnership acumen to provide guidance and recommendations in the strategic use of integrated data to illuminate insights and accelerate Conservancy impact. The Senior BI Analyst is technical lead on analytics projects of varying scope and complexity, and subject matter expert in their domains. They make recommendations that improve and strengthen end products and actively advance the Conservancy&apos;s application of AI-enhanced analytics solutions to improve efficiency, ensure scalability, and encourage a culture of data-driven decisions. The Senior BI Analyst maintains and enhances a robust Power BI relational model of conservation program and financial data and metrics to ensure accuracy and functional integrity for measuring conservation progress against goals and financial components. The Senior BI Analyst designs and implements technical and process solutions, including activities such as investigating specific business questions, building enterprise dashboards, and delivering self-service analytics resources that empower business users. We&#x2019;re Looking For You We&#x2019;re looking for a curious, results-driven, and team-oriented technical leader who is passionate about data and meticulous about accuracy. The successful candidate is inspired by technical challenges, persistent about effective solutions, and dedicated to continuous improvement of team products and processes. They are a self-starter that thrives in an agile execution environment focused on iteration and responsiveness and are motivated to empower business partners to explore and analyze enterprise data. The successful candidate is dedicated to staying current on analytics industry advancements and new technologies and evaluating them for potential benefits to the Conservancy. This position is open remote in US. What You&#x2019;ll Bring <ul><li>Bachelor&#x2019;s degree in relevant discipline and 5 years&#x2019; experience in programming and systems design, or equivalent combination.</li><li>Proficiency with SQL, Databricks (DB SQL), M, DAX or similar language and data manipulation concepts (e.g., table joins, cardinality).</li><li>Experience building visualizations and dashboards with Microsoft Power BI, AWS Quick Sight, or similar BI tool.</li><li>Experience leading multi-disciplinary project teams to design, document, and implement fit for purpose technical solutions, including communicating technical concepts to non-technical and leadership audiences. </li><li>Experience soliciting business requirements and translating desired business outcomes into technical specifications for engineering partners.</li><li>Experience with enterprise self-service paradigm, including data literacy enablement, and data governance principles.</li><li>Experience independently prioritizing multiple competing demands in a fast-paced environment. </li><li>Excellent written and oral communication skills and exceptional customer services skills. </li></ul>Desired Qualifications <ul><li>Experience analyzing complex system-wide technical specifications and interfaces, troubleshooting and debugging data products, and producing effective user and technical documentation.</li><li>Experience working with relational databases, data modeling, data warehousing, and data governance.</li><li>Experience incorporating AI tools, such as machine&#x2011;learning platforms, natural&#x2011;language processing tools, or automation frameworks into analytical workflows. </li></ul>Salary Information The starting pay range for a candidate selected for this position is generally within the range of $85,000 &#x2013; $125,000. This range only applies to candidates whose country of employment is the USA. Where a successful candidate&#x2019;s actual pay will fall within this range will be based on a variety of factors, including, for example, the candidate&apos;s location, qualifications, specific skills, and experience. Please note countries outside the USA would have a different pay range in the local currency based on the local labor market, and not tied to USA pay or ranges. Your geographic location will be confirmed during the recruitment. Who We Are The Nature Conservancy&#x2019;s mission is to protect the lands and waters upon which all life depends. As a science-based organization, we create innovative, on-the-ground solutions to our world&#x2019;s toughest challenges so that we can create a world in which people and nature thrive. We&#x2019;re rooted in our mission and guided by our values, which include respect for all people, communities, and cultures. Whether it&#x2019;s career development, flexible schedules, or a rewarding mission, there&#x2019;s many reasons to love life inside TNC. Want a better insight to TNC? Check out our TNC Talent playlist on YouTube to hear stories from staff or visit Glassdoor. One goal is to cultivate an inclusive work environment so that all our colleagues around the globe feel a sense of belonging and that their unique contributions to our mission are valued. In addition to the requirements in our job postings, we recognize that people come with talent and experiences outside of a job and consider each applicant&#x2019;s unique experience. Please apply &#x2013; we&#x2019;d love to hear from you. To quote a popular saying at TNC, &#x201C;you&#x2019;ll join for the mission, and stay for the people.&#x201D; What We Bring Since 1951, TNC has been doing work you can believe in. Through grassroots action, we have grown from a small non-profit into one of the most effective and wide-reaching environmental organizations in the world. Thanks to more than 1 million members, over 400 scientists, and the dedicated efforts of our diverse staff and partners, we impact conservation around the world! TNC offers a competitive, comprehensive benefits package including health care benefits, flexible spending accounts, a 401(k) plan with an 8% employer match, parental leave, accrued paid time off, life insurance, disability coverage, employee assistance program, other life and work well-being benefits. Learn more about our Benefits and Perks here. We&#x2019;re proud to offer a flexible work environment that supports of the health and well-being of the people we employ. Our recruiting process includes a rolling interview process to ensure we engage applicants in a timely manner. This means we may review applications in the order in which they are received. Once a strong candidate pool is identified, the role will be unposted. The timeline may vary depending on the expressed interest in the role, so we highly encourage candidates to apply as soon as possible. Employees must submit their application by logging into Workday and applying via the Jobs Hub. The Nature Conservancy is an Equal Opportunity Employer. Our commitment to equal employment opportunity includes the recognition that our conservation mission is best advanced by the leadership and contributions of people of all backgrounds, beliefs, and culture. Recruiting and mentoring staff to create an inclusive organization is a priority, and we encourage applicants from all cultures, races, colors, religions, sexes, national or regional origins, ages, disability status, sexual orientation, gender identity, military, protected veteran status or other status protected by law. The successful applicant must meet the requirements of The Nature Conservancy&apos;s background screening process. Do you have military experience? Visit our U.S. Military Skills Translator to match your military experience with our current job openings! TNC is committed to offering accommodations for qualified individuals with disabilities and disabled veterans in our job application process. If you need assistance or an accommodation due to a disability, please send a note to applyhelp@tnc.org with Request for Accommodation in the subject line.

Senior BI Analyst

Hiring: Process Data Analyst &#x2013; Offshore Drilling Rotating AssetsLocation: Remote (Work from Home)Experience: 5&#x2013;8 years (flexible for exceptional candidates)Reporting To: Head of Remote Diagnostics Required Qualifications &amp; Experience<ul><li>Bachelor&apos;s degree in Mechanical, Electrical, Marine, Instrumentation, or Chemical/Process Engineering, or an equivalent qualification.</li><li>5+ years of experience in process data analysis of rotating equipment on offshore drilling units or drill ships.</li><li>Proven experience analyzing large time-series datasets from historian or SCADA systems and translating data trends into actionable diagnostic insights.</li><li>Hands-on experience with platforms such as OSIsoft PI / AVEVA PI System, Wonderware, or Ignition.</li><li>Strong understanding of rotating equipment performance, process parameters, and equipment fault identification.</li><li>Ability to interpret trends, establish operating baselines, and identify abnormal operating conditions.</li><li>Excellent written and verbal English communication skills, with the ability to produce clear, concise technical diagnostic reports.</li></ul>Preferred Skills<ul><li>Experience in predictive maintenance, condition monitoring, reliability engineering, or remote diagnostics.</li><li>Familiarity with vibration analysis and its application in rotating equipment fault diagnosis.</li><li>Experience with anomaly detection, statistical analysis, multivariate analytics, or condition-based monitoring.</li><li>Exposure to offshore drilling equipment and operational modes.</li></ul> About the RoleWe are looking for an experienced Process Data Analyst to monitor the health and performance of rotating equipment on offshore drill ships. The role focuses on analyzing process and operational data from historians and SCADA systems to identify abnormal behavior, performance degradation, and developing faults before they lead to unplanned downtime.You will work with parameters such as temperature, pressure, flow, speed, torque, motor current, power, lubrication oil, and hydraulic data. Vibration analysis will be used as a supporting diagnostic tool to validate findings and refine fault identification.The position requires close collaboration with US-based stakeholders, with working hours designed to provide time-zone overlap. Key Responsibilities<ul><li>Monitor and analyze process and operational data from offshore drilling rotating assets using historian trends, dashboards, and analytical tools.</li><li>Identify early deviations in process parameters to detect potential equipment faults and system abnormalities.</li><li>Compare actual equipment performance against historical baselines, OEM curves, and defined operating envelopes.</li><li>Develop and maintain asset health baselines, normal operating models, and alarm thresholds across operating modes such as drilling, tripping, dynamic positioning (DP), transit, and standby.</li><li>Correlate multiple process parameters across time, load, and environmental conditions to distinguish genuine faults from normal operational variations.</li><li>Identify sensor and data quality issues, including drift, flatlines, spikes, and incorrect scaling.</li><li>Develop and fine-tune rule-based diagnostics, multivariate models, and anomaly detection logic in collaboration with data science teams.</li><li>Review vibration data, including overall levels, spectra, and trends, to validate process-based findings and support fault diagnosis.</li><li>Prepare clear diagnostic reports covering anomaly severity, probable causes, supporting evidence, recommended actions, and urgency.</li><li>Escalate critical findings promptly to offshore maintenance teams, rig management, and onshore reliability engineers.</li><li>Support onboarding of new assets, instrumentation tags, and data sources.</li></ul> Why Join Us?<ul><li>Work remotely on offshore drilling asset health and performance monitoring.</li><li>Contribute to predictive maintenance and early fault detection initiatives.</li><li>Collaborate with US-based technical and operational stakeholders.</li><li>Apply data analytics and engineering expertise to improve equipment reliability and reduce unplanned downtime.</li></ul> Interested candidates: Please share your updated CV highlighting relevant experience in process data analysis, rotating equipment, historian/SCADA systems, and offshore drilling operations.

Drilling Rotating Assets - Process Data Analyst

<ul><li>Role: Junior Data Analyst</li><li>Location: Remote</li><li>Employment Type: Full-time</li><li>Compensation: Competitive salary</li></ul> Role Overview:We are actively seeking a dedicated Junior Data Analyst to join our growing remote team. In this pivotal role, you will be instrumental in shaping our operations, driving strategic initiatives, and delivering exceptional results within your functional area. The ideal candidate will combine big-picture strategic thinking with hands-on, tactical execution. Key Responsibilities:<ul><li>Establish and monitor key performance indicators (KPIs) across departments.</li><li>Identify critical trends, behavioral patterns, and anomalies in complex datasets.</li><li>Present complex data findings and actionable strategic recommendations to leadership.</li><li>Develop, automate, and maintain interactive business intelligence dashboards.</li><li>Provide essential administrative, logistical, and operational support to the team.</li></ul> Required Skills &amp; Qualifications:<ul><li>Exceptional written, verbal, and asynchronous communication capabilities.</li><li>1-3 years of demonstrated, progressive success in a relevant functional role.</li><li>Proven comfort and productivity operating in a fully remote, distributed environment.</li><li>Strong statistical knowledge and experience with Python or R for data analysis.</li><li>Advanced proficiency in SQL, relational databases, and data manipulation.</li></ul> What You&#x2019;ll Bring:<ul><li>Exceptional stakeholder management, active listening, and negotiation skills.</li><li>An unwavering commitment to operational quality, accuracy, and overall excellence.</li><li>An intrinsic passion for continuous learning, upskilling, and rapid adaptation.</li></ul> Benefits:<ul><li>Fully remote, flexible work hours</li><li>Performance-based bonus structure</li><li>Annual learning &amp; development stipend</li><li>Health and wellness benefits (varies by location)</li><li>Opportunity to work on high-impact projects</li></ul> Equal Opportunity Employer:This is an equal opportunity role. Applications are welcomed from all qualified individuals regardless of race, color, ethnicity, nationality, gender, gender identity or expression, sexual orientation, religion, disability, marital status, or any other characteristic protected by applicable law. All hiring decisions are based solely on qualifications, skills, and demonstrated ability. Apply Now!

Junior Data Analyst

<h3>About <a href="https://jobicy.com/company/toptal" target="_blank" rel="noopener">Toptal</a></h3>
Toptal is a global network of top talent in business, design, and technology that enables companies to scale their teams, on-demand. With $200+ million in annual revenue and team members based around the globe, Toptal is the <a href="https://www.toptal.com/remote-work-playbook" rel="nofollow ugc noopener" target="_blank">world’s largest fully remote workforce</a>.
We take the best elements of virtual teams and combine them with a support structure that encourages innovation, social interaction, and fun. We see no borders, move at a fast pace, and are never afraid to break the mold.
<h3>Job Summary:</h3>
Toptal is looking for a Marketing Analyst to build and own the marketing data infrastructure to support new businesses and companies we acquire through M&amp;A. The role is part of our Business Analytics Center of Excellence, where analysts are assigned to support one or more business functions. You will track paid advertising performance and translate it into metrics such as LTV and ROAS that inform budget allocation and channel strategy, from structuring the underlying data pipelines to developing the reports that help marketing and business leaders make data-driven decisions.
Are you passionate about bringing rigor to how early-stage businesses measure and optimize acquisition spend from day one? If so, we encourage you to apply! This person will define the metrics that matter, measure channel and campaign performance, and develop reports that drive decisions. They will also build models, forecast outcomes, run experiments, and perform in-depth diagnostic analysis.
Ultimate success goes beyond data-related activities, you’ll be delivering the “so what” that drives decisions and real business impact. It is imperative to fully understand each business (processes, objectives, organization, performance drivers, barriers), and connect the dots between paid acquisition data, marketing strategy, and financial and operational effectiveness. This role partners closely with the Business Analyst, New Businesses and the Senior Business Analyst focused on acquisitions, ensuring marketing performance insights are integrated with the broader business and revenue picture. We expect that we not only answer the question asked, but also the question that was not.
This Marketing Analyst needs to build positive relationships across the organization, manage diverse stakeholders with competing and often conflicting priorities, and have a “find a way” attitude.
This is a remote position. We do not offer visa sponsorship or assistance. Resumes and communication must be submitted in English.
<h3>Responsibilities:</h3>
The following information is intended to describe the general nature and level of work being performed. It is not intended to be an exhaustive list of all duties, responsibilities, or required skills.
<ul>
<li>Analyze data, build models, test hypotheses, find root causes, develop prototypes, forecast performance, create Tableau reports, and write SQL scripts; and extract insights from these data activities to inform marketing decisions.</li>
<li>Build, own, and maintain the marketing data infrastructure, from ad impression and click through lead acquisition to revenue, setting up and integrating Google Analytics, Google Ads, and other paid advertising platforms as required.</li>
<li>Rapidly assess and integrate the marketing data of newly acquired (M&amp;A) companies, establishing tracking, attribution, and reporting so their acquisition spend is measured with the same rigor as the rest of Toptal.</li>
<li>Measure and diagnose paid advertising performance across channels and businesses—analyzing spend efficiency, CAC, funnel conversion, lead value, ROAS, and LTV—to guide budget allocation and channel strategy.</li>
<li>Define metrics that are independent, holistic, accurate, encourage the right behaviors, and are aligned with company strategy and objectives, including consistent definitions of LTV, ROAS, and payback across businesses.</li>
<li>Use descriptive (what happened) and diagnostic (why did it happen) analytics to develop specific, actionable recommendations for marketing leaders and business owners.</li>
<li>Partner closely with the Business Analyst, New Businesses and the Senior Business Analyst focused on acquisitions to connect marketing performance with revenue, unit economics, and the broader business picture.</li>
<li>Map marketing processes and channel journeys to their corresponding data flows across acquisition, engagement, and revenue generation.</li>
<li>Proactively identify and surface opportunities to improve efficiency, conversion, revenue generation, client and talent experience, operations, communication, systems &amp; tools, cash usage, etc.</li>
<li>Leverage Generative AI tools to accelerate analysis and automate reporting workflows.</li>
</ul>
<h3>In the first week, expect to:</h3>
<ul>
<li>Onboard and integrate into Toptal, quickly learning about Toptal’s history, culture, and vision.</li>
<li>Shadow key teams to learn the core of each new business and its paid acquisition channels.</li>
</ul>
<h3>In the first month, expect to:</h3>
<ul>
<li>Understand the marketing data generated and where/how it is stored, especially as it relates to the Business Analytics team.</li>
<li>Obtain a basic understanding of each business’s paid advertising channels, spend, and operations.</li>
<li>Assess the current state of tracking, attribution, performance metrics, reports, dashboards, and models in use, and identify gaps and discrepancies.</li>
<li>Begin supporting business leaders with relevant paid performance insights and reports for leadership meetings.</li>
</ul>
<h3>In the first three months, expect to:</h3>
<ul>
<li>Develop proficiency in the marketing data elements of each business and obtain a robust understanding of the paid acquisition funnel from ad spend to revenue.</li>
<li>Deliver a first version of the marketing data infrastructure and ROAS/LTV reporting for the new businesses, and gain the ability to assess the drivers and impacts of marketing decisions on financial performance.</li>
<li>Begin identifying new opportunities to explore in the quest to improve performance continually while exercising discretion and independent judgment.</li>
</ul>
<h3>In the first six months, expect to:</h3>
<ul>
<li>Begin to solve real business problems as a team that will move the needle on key marketing performance metrics and financial performance.</li>
<li>Help us align and standardize LTV, ROAS, and other metric definitions across the new businesses and the company.</li>
<li>Perform detailed root cause analysis to expose critical drivers of channel performance, and stand up a repeatable playbook for onboarding the marketing data of newly acquired companies.</li>
</ul>
<h3>In the first year, expect to:</h3>
<ul>
<li>Inform significant strategic initiatives, goals, priorities, and performance indicators, including budget allocation and channel strategy for the new businesses.</li>
<li>Become an expert both on marketing process and data flow, and help build an outstanding marketing analytics function for new businesses and M&amp;A.</li>
</ul>
<h3>Qualifications and Job Requirements:</h3>
<ul>
<li>Bachelor’s degree is required.</li>
<li>3+ years of experience in data analysis, analytics, or business intelligence is required, with a focus on marketing analytics.</li>
<li>Demonstrated experience analyzing paid advertising performance (e.g., Google Ads and other paid media platforms) and translating it into metrics such as LTV, CAC, and ROAS is required.</li>
<li>Demonstrated experience building or owning marketing data infrastructure (tracking, attribution, data pipelines, and reporting) is required.</li>
<li>Both a strong background in math, science, finance, engineering, or statistics and deep business insight is required; advanced degrees and/or MBA are a plus.</li>
<li>Experience with BI tools (Tableau, Qlik, PowerBI, etc.).</li>
<li>Proficiency in SQL; experience with R, Python, or MATLAB is a plus.</li>
<li>Hands-on experience using Generative AI tools such as Claude, Gemini, or ChatGPT to support analysis, automation, and reporting.</li>
<li>Experience with exploratory data analysis, prototyping, testing hypotheses, performing root cause analyses, modeling business processes, building forecasts, creating predictive models, defining metrics, and/or measuring marketing performance.</li>
<li>Track record of linking data and analytics to marketing strategy, financial performance, and operations to drive real impact.</li>
<li>Working knowledge of probability and statistics, experience with process improvement is a plus.</li>
<li>Experience in a startup, early-stage business, or M&amp;A integration environment is a plus.</li>
<li>Proven ability to manage diverse stakeholders and balance multiple, conflicting priorities in a fast-moving environment.</li>
<li>Ability to explain complex issues simply and intuitively, and willingness to challenge assumptions, communicate limitations, and flag blind spots.</li>
<li>The ideal candidate needs to have a strong technical background particularly when it comes to marketing data infrastructure and Google products (Google Analytics, Google Ads) while having the ability to master marketing processes of diverse nature.</li>
<li>Outstanding written and verbal communication skills.</li>
<li>Ability to work in a fast-paced, rapidly growing company and handle a wide variety of challenges, deadlines, and a diverse array of contacts.</li>
<li>You must be a world-class individual contributor to thrive at Toptal. You will not be here just to tell other people what to do.</li>
</ul>
<h3>Compensation</h3>
<h3>Additional Information</h3>

Marketing Analyst, New Business and M&A

Location: Remote within the United States or Canada
About <a href="https://jobicy.com/company/doximity" target="_blank" rel="noopener">Doximity</a>
Doximity is the leading clinical AI company with the largest network of U.S. clinicians. Doximity’s AI-powered workflow platform is trusted by over 85% of U.S. physicians and 300+ health systems. Doximity's mission is to help clinicians be more productive so they can provide better care for their patients. 
At Doximity, we value curiosity, ownership, inclusion, and a commitment to making a meaningful impact. If you're excited about solving complex problems that improve healthcare, we'd love to hear from you. 
<h3>About Us</h3>
<ul>
<li>
Here are<a href="https://drive.google.com/open?id=1qimYh0mG3i1nTJe6jDCDepJt2i4o8MEB" rel="nofollow ugc noopener" target="_blank"> some of the ways we bring</a> value to doctors
</li>
<li>
Here is an<a href="https://technology.doximity.com/technology-stack" rel="nofollow ugc noopener" target="_blank"> introduction</a> to our tech stack 
</li>
<li>
We use UNIX command-line interface and standard programming tools (vim/emacs, git, etc.) and have over 350 private repositories in Github containing our applications, forks of gems, our own internal gems, and<a href="https://github.com/doximity" rel="nofollow ugc noopener" target="_blank"> open-source projects</a>
</li>
<li>
We have worked as a distributed team for a long time;<a href="https://blog.brunomiranda.com/building-a-distributed-engineering-team-85d281b9b1c" rel="nofollow ugc noopener" target="_blank"> we're currently about 65% distributed</a>
</li>
<li>
Find out more information on the<a href="https://engineering.doximity.com/" rel="nofollow ugc noopener" target="_blank"> Doximity engineering blog</a>
</li>
<li>
Our<a href="https://work.doximity.com/" rel="nofollow ugc noopener" target="_blank"> company core values</a>
</li>
<li>
Our<a href="https://engineering.doximity.com/articles/engineering-recruitment-process-doximity" rel="nofollow ugc noopener" target="_blank"> recruiting process</a>
</li>
<li>
Our<a href="https://engineering.doximity.com/articles/mofo-driven-product-development" rel="nofollow ugc noopener" target="_blank"> product development cycle</a>
</li>
<li>
Our<a href="https://engineering.doximity.com/articles/software-engineering-on-boarding-at-doximity" rel="nofollow ugc noopener" target="_blank"> on-boarding &amp; mentorship process</a>
</li>
</ul>
<h3>Here's How You Will Make an Impact</h3>
<ul>
<li>
Leverage Doximity's extensive datasets to identify and classify behavioral patterns of medical professionals on our platform.
</li>
<li>
Play a key role in creating both product and client-facing analytics.
</li>
<li>
Inform data team strategy by working with the product leaders and managers. Actively participate in execution and some planning of organizational data team strategy. 
</li>
<li>
Collaborate with a team of product managers, analysts, and other developers to define and lead data projects from data ingestion to analysis to recommendations.
</li>
</ul>
<h3> </h3>
<h3>About you</h3>
<ul>
<li>
At least 4 years of professional experience as a data analyst or a data scientist.
</li>
<li>
Advanced knowledge of statistical concepts, especially exploratory data analysis techniques, and probability theory. Some exposure to machine learning methods (regressors, classifiers, etc.).
</li>
<li>
Advanced SQL skills to create and evaluate complex statements involving numerous tables and data relationships.
</li>
<li>
Proficient in Python and well versed in object-oriented programming concepts as it relates to data and Python.
</li>
<li>
Proficient in distributed data processing concepts and execution (e.g., working with column stores, leveraging spark, etc.)
</li>
<li>
Excellent visualization and storytelling skills to explain your results and solutions to the stakeholders, clearly and compellingly.
</li>
<li>
Fast learner; curiosity about and passion for data
</li>
</ul>
<h3>Compensation</h3>
The anticipated total compensation for this role is $130,00 - $190,000, depending on factors such as experience, skills, location, and internal equity.
Our total compensation package may include:
<ul>
<li>Base salary</li>
<li>Equity (where applicable)</li>
<li>Annual bonus or incentive compensation (where applicable)</li>
</ul>
Specific compensation details will be discussed during the interview process.
<h3> </h3>
<h3>Benefits</h3>
In addition to competitive compensation, Doximity offers a comprehensive benefits package for full time employees. Some of our offerings include:
<ul>
<li>Medical, dental, and vision insurance</li>
<li>401(k) with company match</li>
<li>Flexible paid time off and company holidays</li>
<li>Paid parental leave</li>
<li>Professional development and learning opportunities</li>
<li>Wellness and mental health resources</li>
<li>Remote work support and home office stipend (where applicable)</li>
</ul>
<h3> </h3>
<h3>Why You'll Love Working Here</h3>
At Doximity, you'll join a mission-driven company where your work has a meaningful impact on healthcare. We believe great ideas come from empowered teams, and we're committed to creating an environment where people can do their best work.
<ul>
<li>Make a real impact. Help build products that support over a million healthcare professionals and ultimately improve patient care.</li>
<li>Work with exceptional teammates. Collaborate with thoughtful, talented colleagues who value curiosity, humility, and continuous learning.</li>
<li>Enjoy flexibility and trust. We support flexible ways of working and empower employees with the autonomy to own their work.</li>
<li>Grow your career. Take on meaningful challenges, develop new skills, and shape your career through mentorship and professional development.</li>
<li>Bring your authentic self. We're committed to fostering an inclusive culture where diverse perspectives are welcomed, respected, and celebrated.</li>
</ul>
<h3> </h3>
<h3>Our Hiring Process &amp; AI Tools</h3>
Doximity may use artificial intelligence (AI)-enabled tools throughout the hiring process to help improve the candidate experience and support our recruiting team. These tools may assist with administrative tasks such as scheduling, general communication, interview coordination, note-taking, or summarizing interview feedback. Human recruiters and hiring managers make all hiring decisions. We are committed to using AI responsibly, transparently, and in accordance with applicable laws.
<h3> </h3>
<h3>Equal Employment Opportunity</h3>
Doximity is proud to be an Equal Opportunity Employer. We are committed to creating an inclusive workplace where everyone can thrive. We consider all qualified applicants without regard to race, color, religion, creed, sex, gender identity or expression, sexual orientation, national origin, ancestry, age, disability, veteran status, genetic information, marital status, or any other characteristic protected by applicable federal, state, or local law.
If you require a reasonable accommodation during the application or interview process, please let us know so we can support your participation.

Senior Data Scientist

<div class="content-intro">Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.</div>The Community You Will Join: 
People Analytics &amp; Research is a strong team of Data Scientists, Data Engineers, and Analysts. Our work is highly sought-after, and impacts stakeholders in our People function, and across the business. In this role, you'll take on some of the hardest questions about Airbnb's workforce - how we recruit, pay, develop, and retain our people - partnering with leaders across Recruiting, Compensation, Talent, and the wider business to turn rigorous analysis into decisions they act on.
The Difference You Will Make:
The People Analytics &amp; Research team is looking for an experienced Data Scientist to lead and/or contribute to our most important research - applying causal inference and quasi-experimental methods to high-stakes people questions: how we recruit, hire, promote, and retain a best-in-class workforce; how we keep key company processes fair; and how work itself is changing. Employee listening and survey analysis are part of the mix, but the heart of the role is rigorous inferential research on observational people data. The role is highly cross-functional, and you will partner with Recruiting, Talent Leaders, Compensation, Legal, and Diversity &amp; Belonging. We need a Data Scientist with a proven track record of translating data into insight and action.
&nbsp;
If you have a proven background in this field and are excited to help build Airbnb’s community, we want to hear from you.
A Typical Day:&nbsp;
<ul>
<li>Collaborate with partners and stakeholders to understand people-related business problems, and gather relevant people data to analyze</li>
<li>Utilize appropriate statistical models and data science methodologies to gain insights, explain, or predict a wide variety of people-related processes, such as recruiting and hiring, promotion, retention, pay equity, productivity, and organizational effectiveness, among others</li>
<li>Translate data and insights into meaningful visualizations and stories to drive strategy, action, and decision-making with leaders across the business</li>
<li>Align research priorities with business priorities and take a customer-focused mindset in working with stakeholders</li>
<li>Lead the team's compensation analytics - the recurring, legally sensitive analyses that inform Total Rewards decisions on pay, compensation structure, and talent awards - in close partnership with Employment Legal and Total Rewards</li>
<li>Lead design and measurement of Airbnb's quality-of-hire metric with Recruiting, and own sensitive statutory and governance reporting</li>
<li>Be a constant learner, active listener, and teacher to advance data science, people analytics, and Airbnb</li>
<li>Use AI fluently - including the team's AirPanda platform and LLM-based agents - to accelerate analysis, prototyping, and synthesis, and to extend what a single researcher can deliver</li>
</ul>
Your Expertise:
<ul>
<li>5+ years in industry experience and a Master's degree/PhD in a quantitative field</li>
<li>Deep experience with causal inference on observational data and quasi-experimental research design and analysis</li>
<li>Proficiency in R or Python for statistical analysis, and SQL for data access</li>
<li>Familiarity with survey design and analysis, as one of several methods in the toolkit</li>
<li>Experience applying data science to compensation, recruiting, or broader workforce and organizational questions, including work with legally sensitive data</li>
<li>Ability to communicate clearly and effectively to cross functional partners of varying technical levels and drive impact</li>
<li>Experience working with large practical datasets</li>
</ul>
Your Location:
This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. <a style="color: #000000;" href="https://careers.airbnb.com/">Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list</a>. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.
Our Commitment To Inclusion &amp; Belonging:
Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.
We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: <a style="color: #000000;" href="mailto:reasonableaccommodations@airbnb.com">reasonableaccommodations@airbnb.com</a>. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process.&nbsp;
We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.
Equal Employment Opportunity:
Airbnb values diversity &amp; belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Airbnb are considered without regard to race, color, religion, national origin, age, gender, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, gender expression, sexual orientation, or any other legally protected characteristic.<div class="content-pay-transparency"><div class="pay-input"><div class="description">How We'll Take Care of You:
Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits. &nbsp;</div><div class="title">Pay Range</div><div class="pay-range">$180,000&mdash;$210,000 USD</div></div></div><div class="content-conclusion">&nbsp;
Reasonable Accommodations: We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.
A Note on Recruiting Scams: Scammers sometimes pose as Airbnb recruiters to get money or personal information from candidates. A few things that will always be true for Airbnb’s hiring process: our open roles are posted on Airbnb’s Career’s Page at careers.airbnb.com, and our recruiters correspond only from @<a href="http://airbnb.com">airbnb.com</a> or @<a href="http://ext.airbnb.com">ext.airbnb.com</a> email addresses. Our recruiters will never ask for your Social Security number, bank account details, passport, or payment app information while you are interviewing.&nbsp; We’ll also never ask you to pay a fee, send money, deposit or cash a check, or purchase work-related equipment (such as a company laptop) during the interview process. We encourage candidates to remain vigilant of these recruiting scams and not share sensitive information if you do not believe an individual is actually affiliated with Airbnb.
&nbsp;</div>

Senior Data Scientist, People Analytics & Research

The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we're behind some of <a href="https://jobicy.com/company/spotify" target="_blank" rel="noopener">Spotify</a>'s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you'll keep millions of users listening by making great recommendations to each and every one of them.
Within Personalization, the Speak Team owns the development of Spotify's state-of-the-art speech models, contributing to speech recognition, speech synthesis, and speech-to-speech models. We craft voice models that match human-level emotional expressiveness, so we can deeply engage our listeners and support creators at scale. Our groundbreaking work on speech synthesis relies on state-of-the-art deep learning methods and evaluation techniques, highly efficient data processing and model serving, and capturing audio of outstanding quality from our voice talent pool.
We're looking for a senior applied research scientist with experience in developing novel ML techniques and architectures and with a strong interest in working across a full production pipeline to produce state-of-the-art generative conversational speech-to-speech models. You'll collaborate with our engineering teams to help develop our production pipelines, explore new ideas and methods to improve quality, understanding and realism, as well as push the frontiers of what is possible with our speech technology.
<h3>What You'll Do</h3>
<ul>
<li>Develop and experiment with new methods for speech synthesis and speech recognition, along with end-to-end approaches, building on the latest research and ideas.</li>
<li>Work towards the expansion of our speech use-cases targeting different markets and products.</li>
<li>Be part of a highly motivated research team dedicated to building and creating models at scale to power the Spotify platform.</li>
<li>Champion best practices for research and development, sharing your knowledge and experience with other researchers within Speak.</li>
<li>Collaborate with our engineering and data teams on ideas requiring new infrastructure or new high-quality data, as well as to help improve our speech recognition and speech synthesis pipelines, and help turn proven ideas into scalable products.</li>
</ul>
<h3>Who You Are</h3>
<ul>
<li>You have a strong background in ML (PhD degree on top of professional experience), and experience in working with any of the following: transformers, GANs, diffusion models, flow matching, VAEs, audio codecs.</li>
<li>You have experience in developing generative models for speech synthesis, speech recognition, audio/music, natural language processing, or computer vision.</li>
<li>You have strong experience with Python, particularly PyTorch.</li>
<li>You have strong communication skills and the ability to explain technical ideas with clarity to technical and non-technical people alike.</li>
<li>You have experience in an academic or professional setting conducting high-quality research.</li>
</ul>
<h3>Where You'll Be</h3>
<ul>
<li>This role is based in London or Stockholm.</li>
<li>We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home</li>
</ul>
<h3>Compensation</h3>
<h3>Additional Information</h3>
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.

Senior Applied Research Scientist - Personalization

At UnitedHealthcare, we&apos;re simplifying the health care experience, creating healthier communities and removing barriers to quality care. The work you do here impacts the lives of millions of people for the better. Come build the health care system of tomorrow, making it more responsive, affordable and optimized. Ready to make a difference? Join us to start Caring. Connecting. Growing together. The Medicare Advantage (MA) Product Capabilities team provides management, strategic oversight, subject matter expertise, data analytics, data delivery and stewardship, and production support for technical assets which deliver Medicare Advantage product and benefit data across the enterprise. Our focus is to create sustainable solutions that drive efficiencies in operations where Medicare Advantage product data is needed. The Sr Product Data Analyst is a business-facing position that will specialize in managing eligibility and benefit programs, supporting vendors that administer supplemental Medicare Advantage benefits (such as fitness or transportation). Vendors and internal stakeholders consistently require data and ad-hoc analysis. This role ensures eligibility data is accurate, compliant with CMS regulations and UHG standards, and is delivered in accordance with established business requirements. The position requires a solid analytical mindset and the ability to understand the business processes and data supported by MA Product, then apply that knowledge to ensure our data products provide a seamless member experience. The role will work closely with team members across UnitedHealth Group, including product owners, account managers, IT partners, and vendors. If you reside within a commutable distance of either Minnetonka, MN or Fort Washington, PA, you will have the flexibility to work remotely* as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. Primary Responsibilities <ul><li>Collaborate with external vendors and internal stakeholders to design, implement, and support data solutions</li><li>Investigate, troubleshoot, and work with technology teams to resolve data-related production issues impacting internal stakeholders and external partners</li><li>Support implementation and ongoing management of data exchanges with external vendors and benefit administrators</li><li>Validate, reconcile, and monitor eligibility, utilization, and benefit data to ensure the accuracy of downstream reporting and vendor data exchanges</li><li>Establish a thorough understanding of the business (Medicare Product, Claims, Member eligibility) and collaborate with business subject matter experts (SMEs) to shape solutions, perform analyses, and interpret data</li><li>Engage with leadership teams to support ad-hoc data analysis primarily in SQL Server and Snowflake and present findings</li><li>Deliver high-quality data solutions that adhere to team standards, are scalable as the product grows, and are sustainable with minimal rework</li><li>Demonstrate leadership by independently driving work to completion while effectively collaborating with team members and stakeholders</li><li>Contribute to analysis, problem definition, requirements, and proposed solutions</li><li>Maintain and expand technical expertise through continuing education, industry networking, and evaluation of emerging development tools and programming techniques</li><li>Provide timely status updates and communicate risks, dependencies, and project progress to stakeholders</li><li>Provide technical leadership by driving project teams toward established goals and promoting adherence to established design standards </li></ul>You&apos;ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications <ul><li>5+ years of experience developing complex SQL solutions with advanced or expert-level SQL proficiency</li><li>3+ years of experience with scripting or programming languages (Python preferred)</li><li>3+ years of data analysis and reporting experience</li><li>3+ years of experience supporting Medicare Advantage programs, with a solid understanding of the Medicare Advantage line of business </li></ul>Preferred Qualifications <ul><li>Experience creating or maintaining Python scripts for ad-hoc file manipulation</li><li>Experience with cloud-based databases (Snowflake, Databricks)</li><li>All employees working remotely will be required to adhere to UnitedHealth Group&apos;s Telecommuter Policy </li></ul>Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you&apos;ll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 to $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.

Sr. Product Data Analyst - Medicare Advantage - Remote

Job Title: Senior Data AnalystRemoteEducationBA or BS degree with emphasis in Business, Statistics, Analytics, or Marketing. Master&#x2019;s degree in Business, Statistics, Computer Science, or Marketing preferred, or equivalent professional experience.10-12 years of Data analysis, predictive modeling, statistical modeling. Working within a business function to support the data building and analysis for business units.Record of business process improvement using data and statistical analysis Systems/Technical Knowledge:Experience using advanced data analytics and geo-spatial applications including, Snowflake, Tableau, Alteryx, AQT, and ArcGIS.Strong SQL programming skills.Experience with predictive analytics using R and/or PythonProficiency in several areas of data modeling, statistical analysis, data engineering and data visualization Experience with databases and similar applications.Experience in Access/Excel with VBA scripts, PowerPoint

Senior Data Analyst

City/State Norfolk, VA Work Shift Multiple shifts available Overview: Sentara is hiring an Enterprise Analytics Consultant! This role is fully remote. Overview Supports executive leadership and Vice Presidents within the enterprise-wide analytic community, including Enterprise Analytics, Finance, and Strategy. Helps lead and coordinate major cross-functional analytics and governance initiatives in support of Sentara&apos;s top line strategic goals and Enterprise analytics divisional goals. Provides guidance across the analytic community around the development of key analytic models, dashboards, and strategic reporting, especially when cross-functional coordination is required. Takes a key role in developing and administering enterprise-level data governance functions. Domain knowledge in the following areas are preferred. While all are not required, the ideal candidate will demonstrate understanding of the following: Data exploration &amp; visualization techniques; statistical and non-statistical modeling and optimization for predictive and prescriptive analytics; analytic programming; database management, including the role of master data management, data quality, ETL, storage, processing, and cloud computing; healthcare electronic medical record systems, billing systems, imaging systems, productivity and financial systems in ambulatory, acute, and post-acute settings. Business acumen around basic finance, accounting, operations, management &amp; marketing. Education <ul><li>Master&#x2019;s degree (Preferred) </li></ul>Experience <ul><li>5 years of business acumen (Required) </li><li>5 years of statistical analysis experience (Preferred) </li><li>2 years of project management experience (Preferred) </li><li>5 years of analytics experience (Preferred) </li><li>5 years of healthcare industry experience (Preferred) </li><li>Looking for someone who can guide stakeholders, shape analytic direction, influence decisions, and present recommendations to leaders, well-versed in enterprise analytics, strategy, quality, finance, operations, value-based care, and cross-functional initiatives </li></ul>We provide market-competitive compensation packages, inclusive of base pay, incentives, and benefits. The base pay rate for Full-Time employment is: $106,080.00 - $176,820.80. Additional compensation may be available for this role such as shift differentials, standby/on-call, overtime, premiums, extra shift incentives, or bonus opportunities. Keywords: Talroo-IT, Enterprise Analytics, healthcare, analytics, healthcare analytics, SQL, Power BI, data strategy, analytic framing, executive communication, value-based care, governance, data quality, care delivery, Excel, Tableau, Power BI, Epic, Acute, Out patient, out-patient, orthopedic, cardiovascular, perioperative, IDN, integrated delivery network, utilization report, cost saving, quality of care, epic certification, epic certified, purple space, health plan, population, readmission quality measures We provide market-competitive compensation packages, inclusive of base pay, incentives, and benefits. The base pay range for full-time employment is $122,408.00 - $179,649.60 annually. Additional compensation may be available for this role, such as shift differentials, on-call pay, shift premiums, extra-shift incentives, or bonus opportunities. Compensation within the range may vary based on qualifications, experience, location, market conditions, and business needs. Note: If an annual salary is posted, it is based on a full-time colleague working 2,080 hours annually. Sentara offers a comprehensive benefits package, including medical, dental, vision, life and disability insurance; 401(k)/403(b) with employer match; paid time off (vacation, sick time, and holidays); paid parental and military leave; educational assistance or student loan repayment; and voluntary benefits. Benefits: Caring For Your Family and Your Career <ul><li> Medical, Dental, Vision plans</li><li> Adoption, Fertility and Surrogacy Reimbursement up to $10,000</li><li> Paid Time Off and Sick Leave</li><li> Paid Parental &amp; Family Caregiver Leave</li><li> Emergency Backup Care</li><li> Long-Term, Short-Term Disability, and Critical Illness plans</li><li> Life Insurance</li><li> 401k/403B with Employer Match</li><li> Tuition Assistance &#x2013; $5,250/year and discounted educational opportunities through Guild Education</li><li> Student Debt Pay Down &#x2013; $10,000</li><li>Pet Insurance</li><li>Legal Resources Plan</li><li>Colleagues have the opportunity to earn an annual discretionary bonus if established system and employee eligibility criteria is met. </li></ul>Sentara Health is an equal opportunity employer and prides itself on the diversity and inclusiveness of its close to an almost 30,000-member workforce. Diversity, inclusion, and belonging is a guiding principle of the organization to ensure its workforce reflects the communities it serves. In support of our mission &#x201C;to improve health every day,&#x201D; this is a tobacco-free environment. For positions that are available as remote work, Sentara Health employs associates in the following states: Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas, Louisiana, Maine, Maryland, Minnesota, Nebraska, Nevada, New Hampshire, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Virginia, Washington, West Virginia, Wisconsin, and Wyoming.

Enterprise Analytics Consultant - Remote

Job Description Grow your career at Cedars-Sinai! Building on a legacy of innovation, Cedars-Sinai is harnessing rapidly evolving breakthroughs in AI technology to enhance patient care, improve efficiency, advance scientific discovery, and cultivate greater physician and staff wellbeing. The organization&#x2019;s Healthtech excellence was acknowledged again, this time by the esteemed &#x201C;CHIME Digital Health Most Wired&#x201C; recognition program. Cedars-Sinai was assigned a Level 10&#x2014;the most prestigious level of certification&#x2014;among more than 300 surveyed healthcare organizations. Cedars-Sinai netted high scores across multiple verticals and particularly excelled in areas of infrastructure, interoperability, and population health innovation. Why work here? Beyond an outstanding benefit package and competitive salaries, we take pride in hiring the best, most committed employees. Our staff reflects the culturally and ethnically diverse community we serve. They are proof of our dedication to creating a multifaceted, inclusive environment that fuels innovation and the gold standard of patient care we strive for. What you will be doing: The Senior Health Equity Analyst/ Data Intelligence Analyst works with end-user requests to detail moderately to sophisticated business requirements, data definitions, business rules, and data quality requirements support of enterprise data intelligence projects. Creates specifications for reports and analysis based on business/clinical needs and data elements required or available. Produces data sets, reports, ad-hoc requests, dashboards, etc. Conducts data analysis in support of a variety of analytic solutions. <ul><li>Writes moderately sophisticated structured Query Language (SQL) codes and queries. Analyzes complex problems and issues using data from internal and external sources.</li><li>Demonstrates a strong understanding of report analysis and development. Triages intake of data requests and seeks an understanding of business needs.</li><li>Applies knowledge of healthcare and critical thinking skills in the analysis of business request and makes recommendations for solution/s to solve challenges.</li><li>Provides sophisticated report and data analysis with the help of team members, vendors, and/or other EIS department contacts; provides quantitative and qualitative data analysis and reporting of patterns, insights, and trends to decision-makers. </li><li>Participates in re-engineering, as needed, operational work-flow processes with end-users/business owners.</li><li>Solid understanding of build concepts, Epic migration paths, change control process/governance, and ticket management process.</li><li>Leads and evaluates process and requirements analysis, including process mapping though current flow charts, documents, future needs/plans, requirement elicitation, stakeholder analysis, and specification gathering on complex projects. In addition, using current and projected data, provides recommendations.</li><li>Serves as the primary point of contact for vendor support and assistance for larger and more complex projects as well as in resolving increasingly complex or critical issues in assigned areas. Handles relationship with external vendors.</li><li>Independently provides guidance and leadership on quality assurance and testing initiatives. Demonstrates ability to lead team through complex integrated testing processes. Manages testing projects as necessary.</li><li>Contributes to strategy discussions by proactively identifying options with associated pros and cons with EIS team members and others.</li><li>Approved Remote States: Arizona, California, Colorado, Florida, Georgia, Minnesota, Nevada, Oregon, Texas* </li></ul>Qualifications Experience Requirements: Five (5) plus years&#x2019; experience with SQL and demonstrated ability with a range of query tools such as Python, R, Oracle, SAS, Crystal Reports, Business Objects, Microsoft SQL, Tableau, etc. Hands on experience performing reporting analysis and developing custom reports. Demonstrated understanding of healthcare applications as well as the needs and priorities of patient care providers. Familiarity with databases used in patient care, administrative applications for hospitals, and data warehousing technology. Experience analyzing basic to moderately sophisticated Clarity report requests, Reporting Workbench and Radar build requests. Technical proficiency in Reporting Workbench and Radar build. Able to teach sophisticated Reporting Workbench and Radar build concepts. Developing Epic Inpatient Clarity reports, highly desirable. Educational Requirements: Bachelor&#x2019;s Degree in Computer Science, Information Technology, or related quantitative field. Epic Clarity Certification preferred. (Epic Inpatient preferred) SQL Server certification preferred.

Senior Data Intelligence Analyst (Health Equity Analyst) - Remote

This is a Fully Remote Job About Our Client:Hello Heart operates in the heart health sector, focusing on preventing cardiac events through artificial intelligence. The organization has developed a platform that predicts heart attacks up to 10 days in advance, significantly improving upon traditional clinical models that predict risk over 10 years. Their solution is implemented at scale, reducing inpatient hospital days by 47% and saving approximately $1,800 annually per member. Hello Heart partners with over 80% of large U.S. health plans and serves numerous public and private employers. About the Opportunity:The SENIOR DATA ANALYST, GTM, will support data-driven decision-making across the organization by analyzing complex data sets and providing insights to various teams. This role contributes by delivering actionable analyses and developing tools that enhance reporting and data accessibility. The position reports to the Analytics Team Lead and offers growth opportunities through collaboration with data scientists, engineers, and cross-functional teams. Responsibilities:<ul><li>Collaborate with Marketing, Finance, Product, Sales, Medical Affairs, and Customer Success teams to identify business needs and provide analyses.</li><li>Explore data to find patterns and opportunities to improve business growth and operations.</li><li>Define and manage data collection requirements to ensure consistent reporting.</li><li>Develop, optimize, and automate data pipelines using SQL, AI, and data engineering tools.</li><li>Create and maintain interactive dashboards for self-service reporting.</li><li>Identify and implement process improvements across data workflows.</li><li>Translate complex data into clear visualizations and presentations for diverse audiences.</li></ul> Requirements:<ul><li>Bachelor&#x2019;s degree in quantitative or business fields, or equivalent experience.</li><li>Over 5 years of experience with advanced SQL, reporting, data analysis, and visualization.</li><li>Over 5 years of experience with Python for data analytics or data science.</li><li>Over 5 years of experience with BI/Analytics tools such as Looker, Tableau, or PowerBI.</li><li>Experience supporting data needs across multiple departments including marketing, product, and finance.</li></ul> Pay Range and Compensation Package:<ul><li>The US base salary range for this full-time position is $145,000.00 to $160,000.00. Salary ranges are determined by role and level. Compensation is determined by additional factors, including job-related skills, experience, and relevant education or training. This does not include equity or benefits.</li></ul> Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin. Note:TalentHop is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.

Senior Data Analyst, GTM

<h3>About <a href="https://jobicy.com/company/pleo" target="_blank" rel="noopener">Pleo</a></h3>
Messy spend management is tricky business. And tedious processes are a lose-lose situation for all involved, not just finance. At Pleo, we're changing that. We build spend solutions that make managing money seamless, empowering, and surprisingly effective for finance teams and employees alike - with a vision to help all businesses ‘go beyond’.
The word ‘Pleo’ actually means ‘more than you’d expect’, and living by that mantra has been the secret to our success over the last 10 years.
Now, we’re at a pivotal moment in our journey; every move we make has a direct impact on our 40,000+ customers, our business, and our collective success. We need people who take pride in uncovering customer needs, who turn complex problems into simple solutions, challenge the way things are done (respectfully), and always aim high. With great ambitions driving us forward, we can’t say we’ve got this whole thing figured out. And frankly, that’s half the fun! What we can say is that we’re a driven, progressive, and, importantly, a kind bunch of 850+ people from over 100 nationalities, all committed to delivering the future of business spending, together.
About the role 
Pleo's Intelligence function covers the full analytical picture - product behaviour, GTM performance, commercial data science, financial reporting, and operational intelligence. The Analytics Engineers who serve these teams own the data modelling layer that all of it runs on: dbt models, metric definitions, and semantic layer contributions that analysts, product teams, and AI tools depend on to get consistent, trustworthy answers.
You'll be embedded in the Product Intelligence team, building the tracking, experimentation, and data modelling foundations that make product data trustworthy and self-serve. You'll join a close-knit team actively migrating our analytics stack onto a new Analytics Warehouse and Omni, moving off legacy tools like Looker and Hippocampus. If you want to build the infrastructure that other people's product decisions run on rather than just report on what exists, this is the opportunity for you.
Who you'll work with and reporting to 
You will report to an Analytics Manager leading Product Intelligence and Growth Intelligence. You'll partner closely with Product Managers, Product Analysts, and Engineering to get tracking, experimentation, and metric definitions right from the ground up. You'll also engage with the broader Analytics Engineering community across Pleo to drive shared standards, especially around the semantic layer that keeps metrics consistent across the organization.
What you'll be doing
<ul>
<li>
Build and maintain dbt models in our new Analytics Warehouse, using a clean, layered architecture and migrating logic off legacy tools as you go.
</li>
<li>
Own tracking plan implementation and QA directly in Segment and Amplitude in close partnership with Product and Engineering.
</li>
<li>
Support experimentation by modelling assignment and outcome data into structured formats that analysts and PMs can query directly.
</li>
<li>
Define and document metrics in our semantic layer, ensuring a single authoritative definition so downstream BI tools and AI applications yield consistent answers.
</li>
<li>
Apply AI-augmented data modelling practices as a standard part of how you write, review, and migrate code.
</li>
<li>
Partner with Product Managers and Analysts to turn one-off questions into durable, reusable data models.
</li>
<li>
Maintain data quality in your domain through dbt tests, freshness SLAs, and proactive monitoring.
</li>
</ul>
What you bring
<ul>
<li>
Solid SQL and dbt experience, with a clear comfort owning models end to end.
</li>
<li>
Working knowledge of event-based tracking tools like Segment or Amplitude.
</li>
<li>
Experience with Git-based development workflows, including opening and reviewing pull requests.
</li>
<li>
Clear communication skills to explain data definitions and structures to both technical and non-technical stakeholders.
</li>
<li>
Genuine day-to-day use of AI tooling as part of your standard coding and workflow routine.
</li>
<li>
Comfort navigating ambiguity and untangling legacy logic to build modern foundations.
</li>
</ul>
This role is NOT a good fit if
<ul>
<li>
You only want to write dashboards without touching or owning the underlying data models.
</li>
<li>
You require rigid processes and heavy upfront structure before taking initiative.
</li>
<li>
You prefer to avoid data migration, cleanup work, and legacy system refactoring.
</li>
</ul>
Your first 6 months
<ul>
<li>
Ramp up: Master our dbt project structure, tracking plans, and migration roadmap while shipping small, reviewed code changes early on.
</li>
<li>
Take ownership: Own a dedicated slice of the migration, such as an event domain or our core experimentation data models.
</li>
<li>
Drive consistency: Establish semantic layer definitions for your domain so analysts and PMs can self-serve accurate metrics without custom workarounds.
</li>
</ul>
Our tech stack context
<ul>
<li>
Data warehouse: GCP / BigQuery (new Analytics Warehouse)
</li>
<li>
Transformation: dbt
</li>
<li>
Orchestration: Airflow
</li>
<li>
Tracking and Oroduct Analytics: Segment, Amplitude
</li>
<li>
BI and Analytics: Omni (migrating off legacy Looker and Hippocampus)
</li>
<li>
Languages: SQL
</li>
</ul>
Show me the benefits!
<ul>
<li>
Your own Pleo card (no more out-of-pocket spending!)
</li>
<li>
Lunch is on us for your work days—enjoy catered meals or receive a lunch allowance based on your local office.
</li>
<li>
Comprehensive private healthcare depending on your location (coverage options include Vitality, Alan, or Médis).
</li>
<li>
25 days of annual holiday plus public holidays, with the option to purchase 5 additional days through salary sacrifice.
</li>
<li>
Flexible working options supporting both hybrid and fully remote setups.
</li>
<li>
Free mental health and well-being support through MyndUp.
</li>
<li>
Generous paid parental leave policies to support growing families.
</li>
</ul>
The interview process
<ol>
<li>
Intro Call: 30 minutes with our Talent Partner
</li>
<li>
SQL Test: Completed via CoderPad
</li>
<li>
Hiring Manager Interview: 45 minutes with our Data &amp; Analytics Manager
</li>
<li>
Team Interview &amp; Live Case: Data modelling case via CodeSignal
</li>
<li>
Final Interview: 30 minutes with our VP of Data &amp; AI
</li>
</ol>
Transparency is important to us so we also wanted to share some insights about what we’re looking for in applications to ensure you can set yourself up for success!
Last time we hired an Analytics Engineer, we received a total of 173 applications but only 10 were selected for an intro call. Some of the key reasons why previous candidates didn’t make it past the application screening stage include:
<ul>
<li>
CV writing and content: it was very clear that many of the CVs we saw were very generic and AI generated. There is no issue with leveraging AI to help with CV writing, there was little indication of what real impact the candidates had in their previous experience. You might have heard of the “Achieved X, as measured by Y, by doing Z” formula (credit Laszlo Bock ~2014), this is a great way to give a clear picture of what you have actually worked on. Some link or quick description of the companies you’ve worked with is also a great help.
</li>
<li>
Application care: every single application we receive is reviewed by a human (yes, hundreds of them) because we believe that candidates' efforts should be matched by an equal level of human care. This means that we expect a similar level of attention put into your application. Read and answer the application questions carefully, they make a huge difference in our decision-making process.
</li>
<li>
Profile to role fit: there was misunderstanding about the type of experience we expect from an Analytics Engineer and we received many applications from candidates who had never been exposed to a product-led environment or had been exclusively focused on SQL/dbt work when we’re looking for both technical and stakeholders management and team collaboration experience. To be perfectly clear, this is NOT a Data Engineer role or a Data Analyst role! This is a heavily-driven dbt modelling role, experience in this area is critical. We’ve taken great care in writing this role description to reflect the reality of the job as best as possible, please ensure you read it carefully and highlight on your CV the experience relevant to what we are looking for.
</li>
</ul>
<h3>About your application</h3>
<ul>
<li>
English first. Since it's our company language, please submit your application in English. You’ll be using it a lot if you join us.
</li>
<li>
A fair look for everyone. Our talent team reads every single application to ensure the process is fair. To keep things running smoothly, we only accept applications through our system—our support team can’t pass on calls or emails.
</li>
<li>
Diversity drives us. We can only reach our goals if our team reflects the world around us. That starts with you hitting apply, even if you don't tick every single box. We encourage people from all backgrounds and experiences to join us.
</li>
<li>
Interview at your best. We want you to feel comfortable throughout the process. If you have any accessibility requirements or need a specific format, email belonging@pleo.io. We’ll design a process that works for you.
</li>
<li>
Your data is safe. When you apply, we process your personal data as a data processor. For more information on how Pleo processes personal data, read our Privacy Policy <a href="https://www.pleo.io/en/legal" rel="nofollow ugc noopener" target="_blank">here</a>.
</li>
<li>
Applying for multiple roles? Nothing is stopping you, and we assess every role independently. However, we do look for alignment, so make sure you can explain why your interest and experience are right for each specific role.
</li>
<li>
Reapplying. If you’re applying for the same role again, please wait six months from your last decision before hitting submit.
</li>
</ul>

Analytics Engineer

We’re on a mission to make money work for everyone.
We’re waving goodbye to the complicated and confusing ways of traditional banking.
After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as <a href="https://monzo.com/current-account/personal" rel="nofollow ugc noopener" target="_blank">personal</a> and <a href="https://monzo.com/business-banking" rel="nofollow ugc noopener" target="_blank">business</a> bank accounts, we offer <a href="https://monzo.com/current-account/joint-account" rel="nofollow ugc noopener" target="_blank">joint accounts</a>, <a href="https://monzo.com/current-account/16-17" rel="nofollow ugc noopener" target="_blank">accounts for 16-17 year olds</a>, a <a href="https://monzo.com/current-account/under-16s" rel="nofollow ugc noopener" target="_blank">free kids account</a> and <a href="https://monzo.com/flex" rel="nofollow ugc noopener" target="_blank">credit cards</a> in the UK, with more exciting things to come beyond. Our UK customers can also <a href="https://monzo.com/savings" rel="nofollow ugc noopener" target="_blank">save</a>, <a href="https://monzo.com/investments" rel="nofollow ugc noopener" target="_blank">invest </a>and <a href="https://monzo.com/pensions" rel="nofollow ugc noopener" target="_blank">combine their pensions</a> with us. 
With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers!
We’re not about selling products - we want to solve problems and change lives through <a href="https://jobicy.com/company/monzo" target="_blank" rel="noopener">Monzo</a> ❤️
<hr>
<h3>London or UK remote | £100,000 to £130,000 + Incentive Awards tied to your performance +<a href="https://monzo.com/careers/#benefits" rel="nofollow ugc noopener" target="_blank"> Benefits</a> |<a href="https://monzo.com/blog/technology" rel="nofollow ugc noopener" target="_blank"> Technology</a> -<a href="https://monzo.com/blog/data" rel="nofollow ugc noopener" target="_blank"> Data</a> </h3>
About us: 
We’re here to make money work for everyone and we're doing things differently. For too long, banking has been obtuse, complex and opaque.
We want to change that and build a bank with everyone, for everyone. Our amazing community suggests features, test the app and give us constant feedback so we can build something everyone loves.
We're focused on solving problems, rather than selling financial products. We want to make the world a better place and change people's lives through Monzo.
About our Financial Crime Data Team:
As we continue to scale, we’re looking for a Data Science Manager to lead one of our key product areas for Financial Crime.
As a Data science manager, you’ll be working in an ever changing environment work in collaboration with Product, Risk and Engineering peers and champion the data strategy and lead a cross-functional team.
You’ll help us build and improve these for now and for our future roadmap. We’re looking for a leader with hands-on experience, data driven strategic leader who can bring fresh thinking and new ways to inspire the team and our customers
What you’ll be working on: You’ll work closely with the Product Managers, engineers, and Financial Crime control owners in an agile product environment. You’ll champion the use of data, bring ideas to life through a rigorous analytical approach. Your work will focus on improving our efforts in financial crime detection, prevention and mitigation, ensuring we stay ahead of emerging threats and regulatory requirements.
You’ll help your team grow, hiring new team members, supporting their personal development. You will manage a team with Data Scientists and Data Analysts, working together with Analytics Engineers to drive product innovation and you’ll get to see the impact of all your work in the product changes we make.
We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data folk the head space to focus on more impactful business questions and analyses.
Your day-to-day 
<ul>
<li>Be a key leader in building a discipline of exceptional data scientists and analysts working on making Monzo world class at detecting and fighting financial crime activity</li>
<li>Help hire, develop and retain talented Data people</li>
<li>Generate insights that can change the direction of our financial crime strategy</li>
<li>Bring data leadership and rigour to our approach to product development and build a strategic understanding of the business while structuring complex projects to bring them to life</li>
<li>Liaise with risk, product and engineering managers to keep making sure we collect the right data to produce relevant business insights</li>
</ul>
You should apply if:
<ul>
<li>What we’re doing here at Monzo excites you!</li>
<li>You must have at least 4 years of experience as a Data Science Manager- at least 2 of them managing a data team larger than 4 people</li>
<li>You are a strong strategic data leader and love to drive decisions</li>
<li>Strong experience with working with executive or C-level peers, managing stakeholders across levels of seniorities and disciplines</li>
<li>You know what it takes to manage top tier Data talent</li>
<li>You’re excited by the opportunity to work autonomously to impact the future of a fast growing, ever evolving business</li>
<li>You're familiar with using a variety of Data Science tools (from business intelligence, experimentation and causal inference through to machine learning), and coding languages (Python and SQL). You know when to pick the right tool, and can help others do the same</li>
<li>Experience in financial crime, fraud detection, or similar areas (Trust &amp; Safety, Integrity, Security) is a plus.</li>
</ul>
The Interview Process:
Our interview process involves 3 main stages. We promise not to ask you any brain teasers or trick questions!
<ul>
<li>30 minute recruiter call </li>
<li>45 minute call with hiring manager </li>
<li>3 x 1-hour video calls with various team members</li>
</ul>
Our average process takes around 3-4 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on tech-hiring@monzo.com
What’s in it for you:
✈️ We can help you relocate to the UK 
✅ We can sponsor visas
This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London).
⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.
Learning budget of £1,000 a year for books, training courses and conferences
➕And much more, see our full list of benefits<a href="https://monzo.com/careers/" rel="nofollow ugc noopener" target="_blank"> here</a>

#LI-NB2 #LI-Remote
<hr>
Equal opportunities for everyone
Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our <a href="https://monzo.com/blog/diversity-and-inclusion" rel="nofollow ugc noopener" target="_blank">blog</a>, 2026 <a href="https://monzo.com/blog/our-2026-diversity-and-inclusion-report" rel="nofollow ugc noopener" target="_blank">Diversity and Inclusion Report</a> and 2025 <a href="https://monzo.com/blog/gender-pay-gap-report-2025" rel="nofollow ugc noopener" target="_blank">Gender Pay Gap Report.</a>
We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status.
If you have a preferred name, please use it to apply. We don't need full or birth names at application stage

Data Science Manager, Financial Crime

<h3>Company Description</h3>
<a href="https://jobicy.com/company/workleap" target="_blank" rel="noopener">Workleap</a> is a Montreal-based tech company, founded in 2006. We're builders at heart, we make simple products that actually matter to the people who use them. We have two product lines: <a href="https://workleap.com/" rel="nofollow ugc noopener" target="_blank">Workleap Agent</a>, our newest solution built to make every manager more effective, and <a href="https://sharegate.com/" rel="nofollow ugc noopener" target="_blank">ShareGate</a>, the world's leading solution for Microsoft 365 migration and governance. More than 15,000 companies worldwide trust us to do exactly that. We're intentional about who joins us. If you're the kind of person who gets excited by a hard problem and wants to help shape what comes next, there's a place for you here.
<h3>Your role</h3>
ShareGate is a close to $100M ARR business that grows through two very different engines: inbound and channel. We've just finished our CRM migration and locked down our revenue architecture, which means for the first time the data is clean enough to answer the question we've never been able to answer properly — what marketing actually drives revenue, and where the next dollar should go. This role exists to own that answer. You'll be the analytical counterpart to our marketing ops lead, working side by side with ShareGate's Director of Marketing to turn campaign and attribution data into decisions the marketing team and the exec team can act on.
Your impact: 
<ul>
<li>Own ShareGate's marketing attribution architecture across HubSpot and HockeyStack, and translate funnel data into exec-ready narratives, so attribution questions get one clear answer;</li>
<li>Drive marketing performance by diagnosing what's working and what isn't across inbound and channel, so budget shifts to the highest-return programs every quarter instead of every fiscal year;</li>
<li>Build the reporting and diagnostic layer for ShareGate marketing — campaign performance, funnel conversion, source quality — so the team plans against measured conversion rates, not assumptions;</li>
<li>Integrate AI into the analysis workflow — we run on Claude — to compress the time from question to answer from days to hours, and to make deep-dive analysis a weekly habit rather than a quarterly project.</li>
</ul>

<h3>Your team</h3>
The next 6 to 12 months are a build. This role has never existed at Workleap, and you're inheriting a business that just finished cleaning its foundations: the CRM migration is done, the revenue architecture is set, and attribution visibility is still scattered across two systems. Your first mandate is to make that architecture coherent and legible — then use it to tell ShareGate's marketing team where to invest and where to pull back. 
RevOps at Workleap is split into two halves. One is Systems &amp; Operations, which owns automation, CRM architecture and AI GTM tooling. The other — yours — is a group of GTM business partners embedded with the business units they serve, accountable for their stakeholder's performance: forecasting, funnel conversion, quota attainment, velocity. You'll report to the Director of RevOps and pair tightly with our Marketing Ops Manager, who owns the systems and campaign execution, while you own the data and its interpretation. 
<h3>What you'll bring</h3>
<ul>
<li>3+ years in marketing operations or marketing analytics at a B2B SaaS, software or fintech company;</li>
<li>Deep hands-on HubSpot expertise — non-negotiable. You've built, broken and rebuilt campaign, lifecycle and reporting logic inside it;</li>
<li>A real command of attribution models — first touch, last touch, multi-touch — and the judgment to know which one answers which question;</li>
<li>Fluency with the mechanics underneath: UTM governance, lead routing and round robins, lifecycle stages, source and channel taxonomy;</li>
<li>An analyst's instinct: you chase the "why" behind a number before anyone asks you to;</li>
<li>The ability to take a messy dataset and turn it into a two-slide answer a CRO can act on;</li>
<li>Deliberate daily use of AI to accelerate your own analysis — not just to draft copy;</li>
<li>Bonus: experience with HockeyStack or a comparable attribution platform.</li>
</ul>
Most of this sounds like you? Apply.
<h3>What the job comes with</h3>
<ul>
<li>Base salary: $100k to $130k / OTE: $110k–$140k. This range reflects our Canada-wide compensation scale. Final offers may be adjusted based on the candidate's region to align with local market conditions.</li>
<li>LTIP program, share in Workleap's long-term growth;</li>
<li>RRSP + Family health insurance + telemedicine + annual wellness budget;</li>
<li>Flexible vacation policy;</li>
<li>Remote work, with access to our Montreal office;</li>
<li>In-person gathering twice a year;</li>
<li>Claude access, for everyone.</li>
</ul>
Note: The internal title for this role is Revenue Operations Business Partner.
<h3>What drives us</h3>
At Workleap, we build software that sits at the center of how people experience work, every day, at every level.
We move fast. Priorities shift, decisions get made with the information we have, and we iterate. If you thrive on intensity and ambiguity doesn't slow you down, you'll feel right at home. We're builders. We do what it takes to move forward. AI is part of our toolkit. We use it to go faster and decide smarter, not to replace judgment.
If you want real impact and a place where your decisions matter, this is it.
<h3>How we hire </h3>
Transparency is how we hire — for you as much as for us.
Here's how it works: a first call with a recruiter, then a virtual interview with the hiring manager. You'll then complete a take-home case study, followed by a meet with future colleagues to discuss it together. Depending on the role, the process may vary slightly — your recruiter will walk you through it on your first call.
We use AI to support certain steps of the process, but every hiring decision remains human.
We can't wait to meet you.
By applying, you confirm that you have read and agree to our <a href="https://workleap.com/trust-center/privacy" rel="nofollow ugc noopener" target="_blank">privacy policy</a>.
#LI-Remote

Marketing Analyst, Attribution - ShareGate

<div class="content-intro">
At <a href="https://himalayas.app/companies/whitetech">WhiteTech</a>, we empower businesses in the financial ecosystem with cutting-edge white-label and SAAS solutions.
Our comprehensive suite of tools is tailored for EMI, PSP, e-commerce, and open banking platforms. With <a href="https://himalayas.app/companies/whitetech">WhiteTech</a>, clients gain access to a platform designed for flexibility, scalability, and seamless integration.
Our mission is to help businesses unlock their full potential in a rapidly evolving financial landscape.
Whether scaling your PSP, enhancing your EMI services, or diving into open banking, <a href="https://himalayas.app/companies/whitetech">WhiteTech</a> is your partner for innovation and growth.
We are a remote-first technology company and welcome applications from candidates across Europe, including the EEA, the UK, Switzerland, and other non-EEA European countries such as Ukraine, Moldova, Georgia, Armenia, Montenegro, Turkey, and the Western Balkans. We also consider applicants from different locations who can work within Central European Time (CET).
</div><h3>Your role and impact:</h3>As a Business Analyst at <a href="https://himalayas.app/companies/whitetech">WhiteTech</a>, you will contribute to conducting detailed business analysis, understanding market dynamics, and enhancing our product offerings. By working closely with internal teams and external partners, you will ensure our products not only meet but exceed the evolving needs of our customers. We are looking for someone who is detail-oriented, proactive and innovative, able to learn and adapt quickly.<h3>Your key responsibilities:</h3><ul>
<li>Conducting comprehensive business analysis for diverse fintech projects and initiatives.</li>
<li>Analyzing industry trends, market conditions, and competitor strategies for benchmarking purposes.</li>
<li>Collecting and prioritizing the product requirements from stakeholders and the focus groups.</li>
<li>Developing detailed use cases, user stories, and documentation to outline product features and functionalities.</li>
<li>Identifying and addressing gaps in current products and processes.</li>
<li>Working with third-party developers to integrate API and SDK products.</li>
<li>Providing technical support to internal sales, operations units, and partner engineering teams.</li>
<li>Participating in troubleshooting, testing, launching, and monitoring post-integration of solutions.</li>
<li>Creating technical documentation, integration manuals, guidelines, user manuals, and training materials for clients.</li>
<li>Managing internal knowledge transfer and conducting product demonstrations to stakeholders.</li>
</ul><h3>Requirements &amp; Skills:</h3><ul>
<li>Bachelor’s Degree in Computer Science, Information Technology, Business Administration, Finance, or a related field.</li>
<li>At least 3 years experience as a Business Analyst or Product Manager.</li>
<li>Familiarity with both B2B and B2C environments.</li>
<li>Knowledge of business analysis requirements, project management principles, practices, techniques, and tools.</li>
<li>Understanding of basic usability principles and UI/UX design (Figma).</li>
<li>Experience with SQL and basic knowledge of HTML, CSS, JavaScript.</li>
<li>Strong proficiency in Jira, Confluence, Miro, UML, and Google tools (Docs, Sheets, etc.).</li>
<li>Experience in creating mockups and sketches for user interfaces.</li>
<li>Excellent communication skills, capable of engaging effectively with both technical and non-technical stakeholders.</li>
<li>Understanding of Agile methodologies.</li>
<li>Strong analytical, and problem-solving skills.</li>
<li>At least an Upper-intermediate level of English.</li>
</ul><h3>Our recruitment process typically follows these stages:</h3><ol>
<li>Application screening</li>
<li>Interview Stages (2-3 weeks):<ul>
<li>Prescreening call (40 min)</li>
<li>Technical Interview with PM (60 min)</li>
<li>Final Interview with Head of PMO (60 min)</li>
</ul>
</li>
<li>Job Offer</li>
<li>Referrals: Employment and Background Check</li>
</ol><div class="content-conclusion">
<h3>We offer:</h3>
<ul>
<li>Competitive compensation package (commensurate with your experience)</li>
<li>19 business days of flexible Paid Time Off (PTO)</li>
<li>Fully remote work with flexible hours (within the CET time zone) from any location of your choice</li>
<li>Values-driven culture with a friendly and supportive work environment</li>
<li>Opportunity to regularly participate in conferences and community events as both a participant and contributor</li>
<li>Matrix organizational structure designed to streamline communication, remove barriers, and promote efficiency</li>
</ul>
Embrace the opportunity to develop your skills in a cutting-edge fintech environment.
Please apply now to be part of our dynamic team and make a tangible impact on the future of payments!
Let’s build something great together!
</div>Originally posted on <a href="https://himalayas.app">Himalayas</a>

Business Analyst

<div class="content-intro">
<h3>A career that’s the whole package!</h3>
At <a href="https://himalayas.app/companies/conga">Conga</a>, we’ve built a community where our colleagues can thrive. Here you’ll find opportunities to innovate and support growth through individual and team development, all within an environment where every voice is heard.
<a href="https://himalayas.app/companies/conga">Conga</a> lines up commercial operations so companies run as connected, smarter businesses. By unifying the people and processes that drive commerce, <a href="https://himalayas.app/companies/conga">Conga</a> aligns pricing, quoting, contracting, rebates, and communications so teams stay in sync and buyers keep moving forward. The result is trusted decisions, consistent buyer experiences, and profitable growth. More than 10,000 customers worldwide, including over 50% of the Fortune 100®, trust <a href="https://himalayas.app/companies/conga">Conga</a> when commercial complexity is high and global impact is on the line.
</div><h3>AI Data Scientist</h3>Location: Houston - Hybrid, Canada - RemoteReports to: Senior Director, Science | Platform AI - R&amp;D<h3>A quick snapshot…</h3>As an AI Data Scientist at <a href="https://himalayas.app/companies/conga">Conga</a>, you will be a hands-on technical leader responsible for researching, building, evaluating, and deploying the natural language and machine learning capabilities that power our revenue lifecycle management solutions. You will work across traditional NLP, statistical machine learning, deep learning, and Generative AI to solve complex product and business problems, partnering closely with Engineering, Product, and Data Science teams to take solutions from first experiment to production at scale.This role is ideal for a scientist who pairs deep research instincts with a builder's mindset. You understand both the theory and the practical tradeoffs behind NLP and ML, and you know how to choose the right approach based on data, performance, latency, cost, and business need.<h3>Why it's a big deal…</h3>At <a href="https://himalayas.app/companies/conga">Conga</a>, AI is central to how we help customers make sense of their most complex commercial documents and decisions. Contracts, quotes, and agreements are rich with unstructured language, and turning that language into trusted insight is one of the biggest opportunities in front of us.As an AI Data Scientist, you will help shape how <a href="https://himalayas.app/companies/conga">Conga</a> applies NLP and Generative AI across our platform. Your work will directly influence product intelligence, model quality, and the experience thousands of customers rely on every day. You'll also help raise the technical bar across the team through mentorship, rigorous evaluation standards, and a steady stream of applied research.You'll work alongside a highly talented team of scientists and engineers dedicated to solving hard problems while supporting products that help customers streamline and transform their revenue operations.<h3>What you'll lead…</h3><h3>Applied Research &amp; Innovation</h3><ul>
<li>Research and evaluate emerging NLP, machine learning, deep learning, and Generative AI techniques, translating the most promising advances into practical solutions.</li>
<li>Investigate ambiguous technical problems independently, form hypotheses, and run experiments that compare competing approaches.</li>
<li>Continuously evaluate new models, frameworks, and methodologies, adopting those with demonstrated potential to improve product capabilities and system performance.</li>
</ul><h3>NLP &amp; Machine Learning Development</h3><ul>
<li>Design and build traditional NLP, statistical ML, deep learning, and transformer-based solutions using the right algorithms, architectures, and representations for the problem.</li>
<li>Develop data pipelines, NLP preprocessing, feature representations, embeddings, and training datasets across structured and unstructured data.</li>
<li>Establish data-quality strategies that keep models reliable as data and use cases evolve.</li>
</ul><h3>Generative AI &amp; LLM Solutions</h3><ul>
<li>Develop and evaluate LLM and GenAI solutions using prompting, RAG, embeddings, vector search, fine-tuning, agents, and structured generation.</li>
<li>Select and optimize models based on accuracy, latency, cost, and business requirements.</li>
<li>Help define how <a href="https://himalayas.app/companies/conga">Conga</a> builds, grounds, and governs GenAI capabilities across the platform.</li>
</ul><h3>Evaluation &amp; Experimentation Excellence</h3><ul>
<li>Design rigorous experiments, benchmarks, evaluation datasets, and statistical methodologies to measure and improve NLP, ML, and GenAI systems.</li>
<li>Lead error analysis and performance measurement that turn results into clear next steps.</li>
<li>Set evaluation standards the broader team can adopt and build on.</li>
</ul><h3>Production &amp; Operational Excellence</h3><ul>
<li>Take NLP and AI solutions from research and prototype through production deployment, monitoring, and ongoing optimization.</li>
<li>Partner with engineering teams to operationalize models at scale with strong reliability and performance.</li>
<li>Proactively identify model drift, quality gaps, and optimization opportunities in live systems.</li>
</ul><h3>Cross-Functional Partnership &amp; Mentorship</h3><ul>
<li>Collaborate with engineering, product, and data science teams to solve complex problems and shape technical direction.</li>
<li>Provide technical guidance and mentorship in NLP, ML, experimentation, and GenAI.</li>
<li>Foster a culture of curiosity, scientific rigor, and continuous learning.</li>
</ul><h3>Are you the person we're looking for?</h3><ul>
<li>Master's degree in Computer Science, Data Science, Computational Linguistics, Statistics, Mathematics, Engineering, or a related quantitative field. Ph.D. preferred but not required.</li>
<li>10+ years of professional experience in data science, machine learning, NLP, or AI, including significant hands-on experience building and deploying NLP and/or GenAI solutions.</li>
<li>Proven experience taking ML, NLP, or GenAI solutions from experimentation through production deployment and ongoing optimization.</li>
<li>Demonstrated ability to translate open-ended research into practical, measurable outcomes.</li>
<li>Excellent communication skills and a track record of working effectively as a senior individual contributor across technical teams.</li>
</ul><h3>Technical Expertise</h3><ul>
<li>Expert-level Python with extensive use of Hugging Face Transformers, spaCy, NLTK, Sentence Transformers, PyTorch, and TensorFlow.</li>
<li>Expert knowledge of traditional NLP, including tokenization, stemming, lemmatization, n-grams, TF-IDF, topic modeling, text classification, named entity recognition, information extraction, semantic similarity, and information retrieval.</li>
<li>Strong understanding of deep learning architectures, including CNNs, RNNs, LSTMs, GRUs, encoder-decoder models, attention mechanisms, and Transformers.</li>
<li>Strong understanding of Transformer-based language models, including embeddings, pretraining, fine-tuning, and inference.</li>
<li>Hands-on experience with LLMs and foundation models, including prompt engineering, RAG, vector search, reranking, fine-tuning, LoRA/QLoRA, structured generation, and LLM evaluation.</li>
<li>Strong grasp of experimental design, statistical testing, cross-validation, hyperparameter optimization, and error analysis.</li>
<li>Experience with NLP and GenAI evaluation metrics, including precision, recall, F1, ROC-AUC, MAP, MRR, NDCG, semantic similarity, groundedness, and relevance.</li>
<li>Strong SQL skills and experience with structured and unstructured data at scale.</li>
<li>Experience with distributed data processing platforms such as Spark, Databricks, or BigQuery.</li>
<li>Experience with cloud platforms such as Databricks, GCP, AWS, or Azure and modern ML infrastructure.</li>
<li>Experience with ML tooling such as MLflow, Kubeflow, Weights &amp; Biases, Docker, Kubernetes, or Ray.</li>
<li>Experience with vector databases and search technologies such as FAISS, Elasticsearch/OpenSearch, Pinecone, Weaviate, or Milvus.</li>
<li>Familiarity with LLM application frameworks such as LangChain, LlamaIndex, or DSPy.</li>
</ul><h3>Key Competencies</h3><h3>Research Depth</h3>You bring strong theoretical foundations and the curiosity to explore new techniques, while staying grounded in what will actually move the product forward.<h3>Builder's Mindset</h3>You enjoy getting hands-on, turning prototypes into production systems, and owning outcomes well past the first experiment.<h3>Scientific Rigor</h3>You hold yourself and your team to high standards for evaluation, measurement, and evidence-based decisions.<h3>Collaboration &amp; Communication</h3>You partner effectively across functions and explain complex technical concepts clearly to diverse audiences.<h3>Technical Leadership</h3>You elevate those around you through mentorship, thoughtful guidance, and sound technical judgment.<h3>Here's what will give you an edge…</h3><ul>
<li>Experience with NLP in the legal domain, such as NER, document classification, or semantic search over legal documents.</li>
<li>Experience with advanced information retrieval, semantic search, document intelligence, multimodal models, or knowledge graphs.</li>
<li>Experience with parameter-efficient fine-tuning, model quantization, distillation, inference optimization, synthetic data generation, and agentic architectures.</li>
<li>Advanced knowledge of cloud AI/ML platforms and distributed training and inference for large-scale LLM systems.</li>
<li>Contributions to the field through publications, patents, open-source projects, conference talks, or technical writing.</li>
<li>Experience working within Agile, cross-functional product development teams.</li>
</ul><h3>Travel</h3>Limited travel to other <a href="https://himalayas.app/companies/conga">Conga</a> offices upon request.<div class="content-conclusion">
<h3>Did we pique your interest? </h3>
If this sounds like the kind of job you would love in the kind of environment where you would thrive, please click apply. We'd love to hear from you! 
<h3>Preferred Resume Format</h3>
We accept resumes in any format, we suggest using PDF or plain text. These formats help ensure that your resume’s formatting remains intact, making it easier for our recruiters to review your application promptly. 
Don’t meet every requirement for the role?  
Studies have shown that women and members of ethnic minorities are less likely to apply to jobs unless they meet every single qualification. At <a href="https://himalayas.app/companies/conga">Conga</a> we are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role but your experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You just might be the right candidate for this or other roles.  
<div>
<div><h3>Additional Information</h3></div>
<div class="wysiwyg"><a href="https://himalayas.app/companies/conga">Conga</a> is proud to be an Equal Opportunity Employer and provides equal employment opportunities to all employees and applicants regardless of race, color, religion, gender, gender identity, age, national origin, disability, parental or pregnancy status, marriage and civil partnership, sexual orientation, veteran status, or any other characteristic protected by law. We understand interviewing can be stressful for those with disabilities. If reasonable accommodation is needed to allow you to show us your best self, please let your recruiter know as soon as possible. All your information will be kept confidential according to EEO guidelines. <a href="https://himalayas.app/companies/conga">Conga</a> is not open to third party solicitation or resumes for our posted FTE positions. Resumes received from third party agencies that are unsolicited will be considered complimentary.</div>
</div>
<h3>
<a href="https://himalayas.app/companies/conga">Conga</a>'s Applicant Privacy Statement </h3>
The information you provide during the application process will be used in accordance with <a href="https://himalayas.app/companies/conga">Conga</a>’s Applicant Privacy Statement (). By submitting your application, you acknowledge and agree to the terms outlined in this privacy statement.
</div>Originally posted on <a href="https://himalayas.app">Himalayas</a>

AI Data Scientist

<h3>ABOUT THIS POSITION</h3><a href="https://himalayas.app/companies/aceable">Aceable</a> is looking for a Sr Analytics Engineer who likes solving holistic data problems. This is a hands-on role that sits on a small team at the intersection of Data Engineering and Business Intelligence. In this role, you’ll be empowered to solve high-visibility data architecture and pipeline problems from beginning to end. One week you might build a new data pipeline or troubleshoot why data isn't landing where it should. The next week, you could be designing a dbt model, creating a semantic view or AI agent in Snowflake, building a Power BI dashboard, or partnering with a stakeholder to turn a fuzzy business question into a data product people can actually trust and use.We don't expect you to be an expert in every tool we use. We do expect meaningful technical depth in multiple areas, strong problem-solving instincts, experience and excitement around AI, and the curiosity to jump into unfamiliar territory when the problem calls for it.If you like variety, autonomy, solving messy problems, and building things from source data all the way through to the person making the decision, you will love working with us.<h3>WHAT YOU’LL DO</h3><ul>
<li>Own data products end to end. Take a problem from source data all the way through to the dashboard, metric, or workflow someone actually makes a decision with. Design, build, test, deploy, and maintain the whole path rather than handing it off at each layer.</li>
<li>Turn fuzzy questions into things people trust. Work directly with partners in Marketing, Product, Finance, and Engineering to figure out what they're really asking, then build something reliable and maintainable enough that they stop asking you and just use it.</li>
<li>Own quality from source to screen. Build the testing, documentation, monitoring, and data quality controls that keep trust high, and when something breaks, chase it wherever it actually lives: pipeline, transformation, model, metric, or report.</li>
<li>Leave the platform better than you found it. Improve architecture, simplify workflows, and automate repetitive work, including using AI well to move faster on coding, investigation, testing, and documentation, while holding the line on accuracy and human review.</li>
</ul><h3>WHAT YOU’LL NEED</h3><ul>
<li>7+ years of experience in Analytics Engineering, Data Engineering, Business Intelligence Engineering, or a similarly technical data role</li>
<li>Advanced SQL and hands-on experience building production-scale transformations in a cloud data warehouse, ideally Snowflake, dbt, and GitHub or close equivalents</li>
<li>A strong understanding of dimensional modeling, data marts, data quality testing, documentation, version control, code review, and software development lifecycle practices</li>
<li>Experience with at least one data integration, ETL/ELT, orchestration, or event-data platform, plus a solid understanding of how data moves from source systems through transformation and into downstream reporting</li>
<li>Experience building semantic models, DAX measurements, dashboards, and self-service data products using Power BI or an equivalent modern BI platform</li>
<li>The ability and judgment to take a highly ambiguous business problem, ask the right questions, and turn it into something reliable and maintainable, plus the communication skills to do that with deeply technical partners and stakeholders who just need the data to make sense</li>
<li>Experience building semantic layers, AI agents, or automated workflows that support generative AI and natural-language analytics and a willingness to use AI responsibly to accelerate technical work, automate repeatable processes, and continuously expand your capabilities</li>
</ul><h3> BONUS POINTS</h3><ul>
<li>Hands-on experience with Matillion or Segment</li>
<li>Experience supporting digital event instrumentation and transforming customer journey, product usage, and marketing data into trusted, analytics-ready datasets, especially in support of Marketing, Product, Finance, or executive decision-making </li>
<li>Familiarity with APIs, JSON, Python, Git, CI/CD, and automated deployment workflows</li>
<li>Experience with data observability, lineage, governance, privacy, role-based access, and warehouse cost optimization</li>
</ul><h3>ABOUT ACEABLE</h3><a href="https://himalayas.app/companies/aceable">Aceable</a> has helped 20 million people get licensed in driver's ed, real estate, insurance, and mortgage. Behind every license is a first car, a new career, a fresh start. Making those moments possible is why we built <a href="https://himalayas.app/companies/aceable">Aceable</a>. We're profitable, growing, and investing heavily in AI to make licensing education better. Our courses are mobile-first, fully accredited, and built around one obsessive question: what's the most effective and engaging way to get someone to actually learn this? We’re proud that our students consistently outperform competitors on pass rates. We move fast, ship to real students in weeks, and give our people genuine end-to-end ownership. If you want to build something that directly helps people start new careers (and have fun doing it) you're going to fit right in.ABOUT THE BUSINESS INTELLIGENCE &amp; DATA ENGINEERING TEAMThe Business Intelligence &amp; Data Engineering team builds and supports the data products that help <a href="https://himalayas.app/companies/aceable">Aceable</a> understand performance, make informed decisions, and operate more effectively. Our work spans data ingestion and event instrumentation, cloud data infrastructure, transformation and modeling, business intelligence, self-service analytics, and AI-enabled data experiences.We are a small, highly collaborative team that values end-to-end ownership over rigid functional handoffs. Team members bring different areas of technical depth, but work together across the data lifecycle to deliver trusted, scalable solutions. We partner closely with teams throughout <a href="https://himalayas.app/companies/aceable">Aceable</a>, including Marketing, Product, Finance, Operations, and Engineering, and are continually looking for ways to use AI and automation to increase our impact.<h3>ACEABLE PERKS</h3><ul>
<li>Join one of Austin's Best Places to Work in 2024 &amp; 2025</li>
<li>Competitive total rewards (base salary + bonus/stock options, if applicable)</li>
<li>401k match</li>
<li>Robust medical, dental, and vision benefits </li>
<li>Generous paid time off programs + 19 paid holidays per year</li>
<li>Flexible work schedule</li>
<li>Wellness programs</li>
<li>Our own space on the top floor of a downtown Austin building with free parking</li>
<li>Weekly lunch, a fully stocked fridge, and plentiful snacks</li>
<li>Company events and activities (holiday events, happy hours, volunteering)</li>
<li>#PursueGrowth Reimbursement ($600 per year for full-time employees)</li>
<li>Free Roadside Assistance subscription</li>
<li>Passionate teammates excited to help you succeed and learn</li>
<li>NOTE: Our team is currently working in a hybrid work environment with flexibility to work in office or remote based on role/department and location*</li>
</ul>At <a href="https://himalayas.app/companies/aceable">Aceable</a> we celebrate and support all differences. <a href="https://himalayas.app/companies/aceable">Aceable</a> is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital, disability, and veteran status. Even if you don't think you meet every qualification listed, we'd love to review your application!*Remote Hires I <a href="https://himalayas.app/companies/aceable">Aceable</a> is only able to hire employees in the following locations: California, Colorado, Illinois, Massachusetts, Mississippi, Nebraska, New Jersey, New York (excluding Boroughs), North Carolina, Pennsylvania, Texas, Utah, and Washington.<h3>Compensation: $140,000 - $154,000</h3>Originally posted on <a href="https://himalayas.app">Himalayas</a>

Sr Analytics Engineer

<div class="content-intro">Ready to do the most impactful work of your career? At&nbsp;<a href="https://www.coinbase.com/?utm_campaign=mt_o_m_w_m_m__coi_0_jd-onchain&amp;utm_source=coinbase">Coinbase</a>, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.”&nbsp;<a href="https://www.coinbase.com/careers">learn more about working at Coinbase</a>.</div>As a Senior Machine Learning Engineer on the CX Intelligence Engineering team within Coinbase's Customer Engagement and Experience org, you'll design and build the AI-powered systems that connect our Help Center, chatbots, and agent workflows. This team owns the multi-agent platform powering Coinbase chat, Help Center, and agent tooling surfaces, partnering with Conversation Design, CX, and Engineering teams to deliver secure, compliant, and scalable AI support. You'll drive key CX automation initiatives, including multi-agent framework development, agent assist capabilities, and LLM-powered secure actions that help customers get answers faster while enabling human agents to resolve cases more effectively.
What you'll do:
<ul>
<li>Architect and deploy the multi-agent framework for agent assist, internal SOP execution, and secure LLM-powered actions, building scalable systems that handle millions of customer interactions.</li>
<li>Own end-to-end project execution for complex ML initiatives, managing priorities, technical trade-offs, and cross-functional dependencies from design through production delivery.</li>
<li>Build and optimize AI-driven concierge chat and agent copilot experiences that improve automated resolution rates and reduce case handling time.</li>
<li>Develop systems to detect and manage bad actors and adversarial inputs, ensuring the multi-agent platform maintains high confidence and safety at scale.</li>
<li>Establish best practices for system design, coding standards, and evaluation frameworks for ML/AI systems, mentoring team members on architectural decisions and modern ML development workflows.</li>
</ul>
Required Skills and Experience:
<ul>
<li>5+ years of professional experience in machine learning and software engineering, with a track record of shipping production-grade ML services at scale.</li>
<li>Hands-on expertise with large language models, deep learning architectures, and the generative AI ecosystem (LangGraph, LangSmith, Google ADK, Vertex AI, or AWS Bedrock), with demonstrated ability to build multi-agent or LLM orchestration systems.</li>
<li>Proficiency in Python with the ability to write clean, maintainable, and highly tested production code for ML applications.</li>
<li>Specialized depth in at least one domain: NLP, information retrieval, conversational AI, or advanced statistical modeling, with the ability to ramp quickly on adjacent areas.</li>
<li>Proven ability to write technical design documents and communicate complex ML concepts clearly to non-technical stakeholders across product, design, and CX teams.</li>
<li>Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.</li>
<li>Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human‑in‑the‑loop practices to deliver business‑ready outputs and drive measurable improvements in efficiency, cost, and quality.</li>
</ul>
#P78698
<div id="fortidlp-input-element-parent"></div><div class="content-pay-transparency"><div class="pay-input"><div class="description">Pay Transparency Notice: Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)).&nbsp;
&nbsp;</div><div class="title">Annual base salary range (excluding equity and bonus):</div><div class="pay-range">$191,250&mdash;$225,000 USD</div></div></div><div class="content-conclusion"><ul>
<li style="font-style: italic; font-size: 8pt;">Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period.</li>
<li style="font-style: italic; font-size: 8pt;">Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws.</li>
<li style="font-style: italic; font-size: 8pt;">US Applicants: View<a href="https://www.dol.gov/sites/dolgov/files/WHD/legacy/files/eppac.pdf"> Employee Rights</a>,<a href="https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12.pdf"> Know Your Rights</a>, and<a href="https://static-assets.coinbase.com/e-verify.pdf"> E-Verify</a> Notice of Participation.</li>
<li style="font-style: italic; font-size: 8pt;">Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com.&nbsp;Need screen reading technology?<a href="https://chromewebstore.google.com/detail/screen-reader/kgejglhpjiefppelpmljglcjbhoiplfn"> Click here</a> to download a free compatible screen reader and view the<a href="http://www.chromevox.com/tutorial/"> tutorial</a>.</li>
<li style="font-style: italic; font-size: 8pt;">Data Privacy &amp; Arbitration: By submitting your application, you agree to our<a href="https://www.coinbase.com/legal/applicant_privacy_notice"> Candidate Privacy Notice</a>. US applicants: By submitting your application, you agree to<a href="https://www.coinbase.com/legal/application-arbitration-agreement"> Arbitration of Disputes</a>. </li>
</ul>
<div id="fortidlp-input-element-parent"></div></div>

Senior Machine Learning Engineer, CX

Who We Are We&#x2019;re a global, midsize CRO that pushes boundaries, innovates and invents because the path to a cure for the world&#x2019;s most persistent diseases is not paved by those who play it safe. It is built by those who take pioneering, creative approaches and implement them with quality and excellence. We are Worldwide Clinical Trials, and we are a global team of over 3,500+ experts, bright thinkers, dreamers and doers and, together, we are changing the way the world experiences CROs &#x2013; in the best possible way. Our mission is to work with passion and purpose every day to improve lives and we are looking for others who value this same pursuit. Why Worldwide We believe everyone plays an important role in making a world of difference for patients and their caregivers. From our hands-on, accessible leaders, to our cohesive and supportive teams, we are committed to enabling professionals from all backgrounds and experiences to succeed. We prioritize cultivating a diverse and inclusive environment that continues to promote collaboration and creativity. We are proud to be a workplace where people thrive by being themselves and are inspired to do their best work every day. Join us! Make an Impact as a Feasibility Specialist at Worldwide Play a key role in advancing clinical research by helping identify and engage the right investigative sites for studies around the world. As a Feasibility Specialist, you&apos;ll support end-to-end feasibility activities, transforming complex data into meaningful insights that help study teams make informed decisions and move projects forward efficiently. In this role, you&apos;ll collaborate with cross-functional teams while serving as a subject matter expert across key feasibility technologies, including investigator survey, scoring, intelligence, and scenario modelling tools. Your work will directly contribute to high-quality site identification strategies, effective feasibility outreach, and reliable study planning. You&apos;ll have the opportunity to influence continuous improvement initiatives, enhance feasibility processes, and help drive innovation through data-driven decision-making and operational excellence. Where You&apos;ll Work This is a remote role open to candidates based in UK, Europe and US. You will collaborate with global teams across multiple time zones. What You&apos;ll Do <ul><li>Analyse internal and external data sources to develop, assess, and refine investigator and site identification strategies.</li><li>Integrate, reconcile, interpret, and quality-check complex investigator and site datasets to deliver reliable, decision-ready insights.</li><li>Create and maintain site-facing feasibility materials that align with protocol requirements and study objectives.</li><li>Design and optimise feasibility questionnaires that generate actionable site intelligence and support informed study planning.</li><li>Configure and manage feasibility surveys within designated technology platforms.</li><li>Coordinate feasibility outreach activities, driving site engagement and ensuring high-quality, timely responses.</li><li>Facilitate the preparation, tracking, and execution of Confidentiality Agreements (CDAs) when required.</li><li>Monitor project deliverables and timelines, proactively identifying risks and escalating issues when appropriate.</li><li>Contribute to cross-functional initiatives that improve feasibility capabilities, quality, efficiency, and innovation. </li></ul>What You&apos;ll Bring <ul><li>Bachelor&apos;s degree in life sciences, healthcare, business, data analytics, or a related field, or an equivalent combination of education and relevant professional experience.</li><li>1&#x2013;2+ years of experience in clinical research, feasibility, site identification, clinical operations, data analytics, pharmaceutical, biotechnology, or a related field.</li><li>Proficiency in English.</li><li>Strong data analysis, data review, reconciliation, and quality-control skills.</li><li>Ability to interpret complex information, identify discrepancies, assess risks, and communicate findings effectively.</li><li>Excellent written and verbal communication skills with strong attention to detail and organisational abilities.</li><li>Experience working independently, managing competing priorities, and delivering high-quality work within critical timelines.</li><li>Proficiency with Microsoft Office applications, including Word, Excel, PowerPoint, and Outlook; experience with clinical feasibility systems, survey platforms, and investigator intelligence tools is preferred. </li></ul>We love knowing that someone is going to have a better life because of the work we do. To view our other roles, check out our careers page at Discover a world of difference at Worldwide! For more information on Worldwide, visit www.Worldwide.com or connect with us on LinkedIn. Worldwide is an equal opportunity employer that is committed to enabling professionals from all backgrounds and experiences to succeed and, to that end, we prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and creativity. We know that when our employees feel appreciated and included, they can be more creative, innovative, and successful. We&#x2019;re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We provide equal employment opportunities to all employees and applicants regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity or expression, sexual orientation, age, citizenship, marital or parental status, disability, military status, or other class protected by applicable law.

Remote Data Analysis jobs

Companies hiring for Data Analysis

Data Analysis in other regions

Other categories

Remote Data Analysis jobs

Companies hiring for Data Analysis

Related searches

Data Analysis in other regions

Other categories