📍Cardiff, London or Remote (UK) | 💰 £76,000 to £95,000 + Incentive Awards tied to your performance + Benefits | Data Team, Borrowing <h3>About our Financial Health Team:</h3>We are scaling up our Data and Credit team to support the rapid growth and evolution of our portfolio. We are looking for a Senior Data Analyst to join our Financial Health squad who are focused on supporting customers in financial difficulty. As a Senior Data Analyst, you’ll be working in collaboration with Product, Data Science and Analytical Engineering peers on data-driven insights and initiatives. We’re looking for an experienced Senior Data Analyst with hands-on experience who can bring fresh thinking and new ways to inspire the team and our customers.<h3>What you’ll be working on:</h3>As a Senior Data Analyst you will partner with Product Managers, Engineers, and Data Scientists in an agile product environment. You’ll champion the use of data and bring ideas to life through a rigorous analytical approach. Your work will focus on improving the support we offer to customers in financial difficulty, ensure our operational processes are well controlled and we meet regulatory requirements.At <a href="https://himalayas.app/companies/monzo">Monzo</a> we believe there’s a better way to do banking - we care deeply about our customers, are innovative and execute quickly. Our mission is to revolutionise the way people manage their finances by putting them in control and promoting their financial wellbeing. Our Borrowing business is growing rapidly (both on our existing products, and with the planned launch of new products). We aim to create a genuine feel-good factor when it comes to personal credit, and are looking for driven, analytical and creative individuals to help us achieve this goal. <h3>Your day-to-day:</h3><ul>
<li>Generate insights that can drive the direction of our Financial Health strategy through proactive analysis</li>
<li>Bring data-driven 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>Work and advise on Financial Health’s global expansion strategy</li>
<li>Develop and maintain Looker dashboards, reports and metrics that assess business and customer outcomes within Financial Health</li>
<li>Ensure accurate reporting to third parties and regulators</li>
<li>Build and maintain controls to ensure our business processes are running as intended </li>
<li>Lead projects to improve the accuracy, efficiency and accessibility of our data</li>
</ul><h3>Locations &amp; flexible working </h3>Our main tech hub is in London, but our data teams are based all over the UK — from Brighton to the Western Isles.We love meeting in person, but there’s no pressure to come into the office, even if you’re nearby. You’ll do your best work where you feel most comfortable.We value flexibility, connection, and wellbeing. You’ll have the freedom to work in a way that fits your life, whether that’s school drop-offs, avoiding rush hour, or making time for what matters most.Work the way that works for you at <a href="https://himalayas.app/companies/monzo">Monzo</a>! 💼<h3>Our technology stack:</h3>OurData team's mission is to Enable <a href="https://himalayas.app/companies/monzo">Monzo</a> to Make Better Decisions, FasterAt the core of this mission sits our data platform. We're great believers in powerful, real-time analytics and empowerment of the wider business. Our engineers collect analytics events from their microservices, and upload these into our Data stack for analysis. We optimise for simplicity and re-usability – all our data lives in one place and is made available via our data warehouse in Google BigQuery.We rely heavily on the following tools and technologies (note we do not expect applicants to have prior experience of all them):<ul>
<li>Google Cloud Platform for all of our analytics infrastructure</li>
<li>dbt andBigQuery SQL for our data modelling and warehousing</li>
<li>Python for data science</li>
<li>Go to write our application code</li>
<li>AWS for most of our backend infrastructure</li>
</ul><h3>You should apply if:</h3><ul>
<li>What we’re doing here at <a href="https://himalayas.app/companies/monzo">Monzo</a> excites you!</li>
<li>You are passionate about using data to improve and inform business decisions</li>
<li>You’re motivated by solving challenging problems, and communicating and collaborating closely with subject matter experts on those solutions</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 as comfortable getting hands-on as taking a step back and thinking strategically</li>
<li>You are experienced with using a variety of Data Analysis tools. You know when to pick the right tool, and can help others do the same</li>
<li>You have a solid grounding in SQL </li>
<li>Experience in Financial Health is a plus, but not required.</li>
</ul>We're on the look out for L40 Senior Data Analysts at the moment, you can read more in our Data Progression Framework<h3>The Interview Process:</h3>Our interview process involves 4 main stages. We promise not to ask you any brain teasers or trick questions!<ul>
<li>30 minute recruiter call </li>
<li>45 minute initial call </li>
<li>Take home task</li>
<li>2 x 1-hour video calls, including a technical case study</li>
</ul>Our average process takes around 3-4 weeks but we will always work around your availability. <h3>What’s in it for you:</h3>💰 £76,000 to £95,000 + Incentive Awards tied to your performance + Benefits <h3>✈️ We can help you relocate to the UK </h3><h3>✅ We can sponsor visas</h3>📍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 hereOriginally posted on <a href="https://himalayas.app">Himalayas</a>

Senior Data Analyst, Financial Health

<h3>Senior/Staff Machine Learning Data Scientist</h3>

<h3>In Brief</h3>
<ul>
<li>
We’re an early-stage startup on a mission to make healthcare proactive by empowering physicians, nurses, and care team members with real-time data to save lives.
</li>
<li>
TLDR: Independent end-to-end model development with ability to work cross-functionally with Clinical, Engineering, and Product to clarify and prioritize specifications and features for our life-saving AI models.
</li>
</ul>
<h3>Who We Are</h3>
<a href="https://jobicy.com/company/bayesian-health" target="_blank" rel="noopener">Bayesian Health</a>’s mission is to improve patient outcomes by empowering clinicians with the insights they need to make the right decision for the right patient at the point-of-care. We’re a diverse team of clinicians, engineers, machine learning experts, product designers, and performance improvement leaders committed to enabling smarter, patient-specific care delivery through unlocking the power of data.
We’re funded by top tier tech and biotech investors: Andreessen Horowitz, American Medical Association’s venture arm, Catalio Partners, and LifeForce Capital. Our company has won many awards; most recent recognitions include: Forbes AI Top 50, World Economic Forum Tech Pioneer, Time Best Inventions, BioTech AI Company of the Year.
<a href="https://www.bayesianhealth.com/sepsis-research/?__hstc=251652889.1e7598f5de0ed9b513da684474e8a044.1710861879595.1710945070565.1710971833587.3&amp;__hssc=251652889.1.1710971833587&amp;__hsfp=1890770568" rel="nofollow ugc noopener" target="_blank">Read more about our recent publication in Nature Medicine that associates our products with lives saved.</a>

<h3>What you’ll do</h3>
As a Senior/Staff Machine Learning Data Scientist, you are not satisfied with training and tuning ML models that predict clinical conditions in patients; you also want to own the effectiveness of your model in the real world. In practice, that means you aren’t afraid to get your hands dirty by writing data mapping code, debugging a specific patient case by following patient data as it moves through our AWS services, or improving the timeliness of your model’s predictions by reading and writing production-grade Python and SQL code.
Responsibilities
<ul>
<li>
Model Prototyping: Develop and tune innovative, new ML models and labeler systems based on deep understanding of clinical use cases and state-of-the-art ML methods
</li>
<li>
Productionizing: The same models that you develop with production-grade Python
</li>
<li>
Deploying: Identify strategies for improving our production ML-based systems, and write, debug, and deploy production-grade Python code to implement those strategies
</li>
<li>
Cross-Functional Alignment: Data Science for storytelling – understand model performance and metrics, and present this to technical and non-technical users, both internally and externally
</li>
</ul>
<h3>Minimum qualifications</h3>
<ul>
<li>
Ph.D. in a relevant field plus 3+ years experience shipping ML based software products
</li>
<li>
Experience owning your ML models from prototyping to production, especially real-time algorithms that update dynamically across time
</li>
<li>
Experience writing production-grade Python and SQL code to implement and evaluate ML models in production systems
</li>
<li>
Track record of using statistics and performance metrics to compare end-to-end ML and product performance
</li>
</ul>
<h3>Preferred qualifications</h3>
<ul>
<li>
Experience shipping breakthrough or 0-1 products from end to end, interpreting and leveraging State-of-the-Art methods to do so
</li>
<li>
Experience using messy clinical and health data to design new products for large Health Systems
</li>
<li>
Experience with any of the following: PyTorch, PySpark, HL7, FHIR, EHR, time series data, signal processing, MLFlow, anomaly detection, Bayesian statistics, quantile regression, time-series forecasting
</li>
<li>
You bring passion and enthusiasm to your work, and are excited to join a growing team to Get Stuff Done and save lives!
</li>
</ul>
Bayesian Health provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Senior/Staff Machine Learning Data Scientist

<div class="content-intro">About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the&nbsp;<a href="https://www.pinterestcareers.com/our-life/pinflex/">flexibility</a> to do your best work. Creating a career you love? It’s Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process <a href="https://www.pinterestcareers.com/our-philosophy-on-ai-in-hiring/">here</a>.</div>The User and Content Foundations org is responsible for deeply understanding our content, users and their interactions by generating high-quality, reusable signals and insights that power relevance and personalization across the platform. We work at the intersection of distributed machine learning, large multimodal models, data infrastructure, and product adoption to build foundational capabilities that support our partners, including Discovery, Search, Growth, and Ads. We are looking for an experienced Staff Machine Learning Engineer / Technical Lead who can drive the team’s technical direction, lead the team in building scalable content understanding systems, and make an impact on core Pinterest user and business outcomes.&nbsp; In this role, you will lead ambiguous, high-impact scientific and engineering efforts that create reusable representations, models, and signals.&nbsp; You’ll work across research, machine learning, infrastructure, and engineering domains to turn advances in VLMs, LLMs, multimodal learning and sequence modeling into impact.&nbsp; This role is ideal for a deeply technical leader who combines strong ML judgment with product intuition. Expertise in visual representation learning and content understanding is especially valuable; experience with user understanding, recommender systems and LLMs is also highly relevant.
What will you be doing:
<ul>
<li>Set the technical direction and multi-quarter strategy for foundational ML capabilities across visual representation learning, multimodal content understanding, and LLM-based personalization.</li>
<li>Lead high-impact scientific and technical initiatives from problem definition and research strategy through experimentation, productionization, and adoption.</li>
<li>Build reusable embeddings, representations, semantic signals, and ML infrastructure while advancing techniques such as VLMs, LLMs, sequence modeling, self-supervised learning, retrieval, and distillation.</li>
<li>Partner with Product, Data Science, Applied Science, and Engineering to translate foundational capabilities into product outcomes and influence cross-functional roadmaps and investments.</li>
<li>Establish rigorous practices for modeling, data pipelines, distributed training, inference, evaluation, experimentation, and operational excellence while mentoring engineers and scientists.</li>
</ul>
What we’re looking for:
<ul>
<li>Minimum 7 years of industry experience, including 2+ years of tech leading teams</li>
<li>MS or PhD degree in computer science, machine learning, or equivalent industry experience.</li>
<li>Publications at top machine learning, multimodal and/or data mining conferences (e.g., NeurIPS, ICML, CVPR, ECCV, ACL, KDD, SIGIR, etc.) or open-source ML experience</li>
<li>Hands-on experience with large-scale distributed training of generative models (LLMs, VLMs, sequence models).</li>
<li>Hands-on experience with distributed tooling for ML data pipelines (e.g. Spark, Hive, MapReduce)</li>
<li>Hands-on experience leading ambiguous ML and research efforts in building, applying and improving GenAI models for content understanding, search and recommendation systems.</li>
<li>Technical leadership and experience in setting direction for roadmaps that span modeling, data pipelines and productionization, and aligning stakeholders on priorities, trade-offs, and execution plans.</li>
<li>Excellent cross-functional communication and collaboration skills</li>
</ul>
Relocation Statement:
<ul>
<li>This position is not eligible for relocation assistance. Visit our<a href="https://www.pinterestcareers.com/pinflex/"> PinFlex</a> page to learn more about our working model.</li>
</ul>
In-Office Requirement Statement:
<ul>
<li>We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.</li>
<li>This role will need to be in the office for in-person collaboration 1-2 times/quarter and can be situated anywhere in the USA. </li>
</ul>
#LI-AK7 #LI-REMOTE<div class="content-pay-transparency"><div class="pay-input"><div class="description">At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found <a href="https://www.pinterestcareers.com/pinterest-life/" target="_blank">here</a>.</div><div class="title">US based applicants only</div><div class="pay-range">$189,308&mdash;$389,753 USD</div></div></div><div class="content-conclusion">Our Commitment to Inclusion:
<div>Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete&nbsp;<a href="https://forms.gle/sS24D4WboEKUZMQK6">this form</a> for support.</div>
<div>&nbsp;</div>
<div>By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.</div></div>

Staff Machine Learning Engineer, Content Visual AI

<div class="content-intro">
On this journey for over 12 years, <a href="https://himalayas.app/companies/qventus">Qventus</a> is leading the transformation of healthcare. We enable hospitals to focus on what matters most: patient care. Our innovative solutions harness the power of machine learning, generative AI, and behavioral science to deliver exceptional outcomes and empower care teams to anticipate and resolve issues before they arise.
Our success in rapid scale across the globe is backed by some of the world's leading investors. At <a href="https://himalayas.app/companies/qventus">Qventus</a>, you will have the opportunity to work with an exceptional, mission-driven team across the globe, and the ability to directly impact the lives of patients. We’re inspired to work with healthcare leaders on our founding vision and unlock world-class medicine through world-class operations. 
</div><h3>Job Description</h3><h3>About Us</h3>On this journey for over 12 years, <a href="https://himalayas.app/companies/qventus">Qventus</a> is leading the transformation of healthcare. We enable hospitals to focus on what matters most: patient care. Our innovative solutions harness the power of machine learning, generative AI, and behavioral science to deliver exceptional outcomes and empower care teams to anticipate and resolve issues before they arise.Our success in rapid scale across the globe is backed by some of the world's leading investors. At <a href="https://himalayas.app/companies/qventus">Qventus</a>, you will have the opportunity to work with an exceptional, mission-driven team across the globe, and the ability to directly impact the lives of patients. We’re inspired to work with healthcare leaders on our founding vision and unlock world-class medicine through world-class operations.<h3>About the Role</h3>We’re looking for an experienced Data Scientist to join our Data Science team. In this role, you will leverage your expertise to develop and implement cutting edge solutions leveraging a wide range of machine learning, statistical, and other mathematical optimizations. You will evaluate potential modeling approaches, implement and operationalize algorithms with your fellow data scientists and product teams, and drive meaningful advances to the quality and breadth of our ML &amp; LLM solutions to boost <a href="https://himalayas.app/companies/qventus">Qventus</a> intelligence and outcomes. You’ll work cross-functionally with clinicians, data scientists, data platform engineers, and product experts to shape solutions that deliver measurable value.This is a high-impact role that will influence our models and products that improve the quality of healthcare and save patient lives, strengthen customer outcomes, and shape our company’s growth trajectory.<h3>Key Responsibilities</h3><ul>
<li>Build, refine, and maintain statistical and machine learning models at scale, including NLP and explainable AI approaches.</li>
<li>Develop, tune, and deploy LLM systems with an eye towards rigorous evaluation of performance and user trust.</li>
<li>Design comprehensive experiments and devise impactful analytics to measure the net impact of AI in healthcare settings.</li>
<li>Perform hands-on data engineering: cleaning, transforming, and building pipelines (SQL, Python).</li>
<li>Collaborate with cross-functional teams to translate data insights into deployed products.</li>
<li>Strong ability to communicate findings clearly to both technical and non-technical audiences.</li>
</ul><h3>What We’re Looking For</h3><ul>
<li>3+ years of relative industry experience developing, launching, and maintaining ML systems in production at scale.</li>
<li>1+ years experience developing and tuning LLM systems.</li>
<li>Strong cross-functional communication with technical and non-technical partners.</li>
<li>Hands-on data engineering experience manipulating data sets, data cleaning, and pipelines with strong coding skills in Python and SQL.</li>
<li>Strong software development foundations - dedication to high code quality, stable architecture</li>
</ul><h3>Bonus Points For</h3><ul>
<li>Background in healthcare data or hospital operations.</li>
<li>Experience with Databricks, AWS, DBT, or similar platforms.</li>
<li>Master’s degree or equivalent professional experience in Computer Science, Statistics, or related fields</li>
</ul><div class="content-pay-transparency"><div class="pay-input">
<div class="description">Compensation for this role is based on market data and takes into account a variety of factors, including location, skills, qualifications, and prior relevant experience. Salary is just one part of the total rewards package at <a href="https://himalayas.app/companies/qventus">Qventus</a>. We also offer a range of benefits and perks, including Open Paid Time Off, paid parental leave, professional development, wellness and technology stipends, a generous employee referral bonus, and employee stock option awards.</div>
<div class="title">Salary Range</div>
<div class="pay-range">$130,000—$170,000 USD</div>
</div></div><div class="content-conclusion">
 <a href="https://himalayas.app/companies/qventus">Qventus</a> values diversity in its workforce and proudly upholds the principles of Equal Opportunity Employment . We welcome all qualified applicants and ensure fair consideration for employment without discrimination based on any legally protected characteristics, including, but not limited to: veteran status, uniformed service member status, race, color, religion, sex, sexual orientation, gender identity, age, pregnancy (including childbirth, lactation and related medical conditions), national origin or ancestry, citizenship or immigration status, physical or mental disability, genetic information (including testing and characteristics) or any other category protected by federal, state or local law (collectively, "protected characteristics"). Our commitment to equal opportunity employment applies to all persons involved in our operations and prohibits unlawful discrimination by any employee, including supervisors and co-workers. 
 <a href="https://himalayas.app/companies/qventus">Qventus</a> participates in the E-Verify program as required by law and is committed to providing reasonable accommodations to individuals with disabilities in compliance with Americans with Disabilities Act (ADA). In compliance with the California Consumer Privacy Act (CCPA), <a href="https://himalayas.app/companies/qventus">Qventus</a> provides transparency into how applicant data is processed during the application process. Candidate information will be treated in accordance with our candidate privacy notice. 
 *Benefits and perks are subject to plan documents and may change at the company's discretion. 
 *Employment is contingent upon the satisfactory completion of our pre-employment background investigation and drug test. 
</div>Originally posted on <a href="https://himalayas.app">Himalayas</a>

Senior Data Scientist

About Roamless The origin story of Roamless is one that will be familiar to many: we saw something broken and we decided to fix it for good. &#x200D;We all travel. We all need to stay connected. And we all hate roaming charges. Existing alternatives were clunky, expensive, and unreliable, so we built something better. We made it easy, reliable and affordable for travellers to get connected and stay connected as they roam the world. Our truly global mobile connectivity service is up to 90% cheaper than traditional roaming. With one eSIM, you get instant, reliable data anywhere in the world. No SIM swaps, no hunting for Wi-Fi, no choosing countries or data packs. Your balance never expires, so you can use it across trips with zero hidden fees or expiration dates. In just 3 years, we&apos;ve grown 4-5x year-on-year and have been trusted by +2M users who overall rate us 4.6 on Trustpilot. &#x1F680; We also recently closed a $12M Series A led by Rasmal Ventures, with participation from Endeavor Catalyst, Shorooq and Revo Capital, and, to fuel our mission of becoming the world&#x2019;s first truly global mobile operator. Hiring remotely, we&#x2019;re a team of 75 working across 17 different countries across EMEA. About The Role Roamless has a product that 2M travelers use across 200+ countries. We&apos;ve built it fast. Now we&apos;re entering our optimization phase, and we don&apos;t have a product analytics practice yet. No experimentation framework, no analytics playbook, no established processes. You&apos;ll be the first dedicated product analytics hire at Roamless. That means you decide how we run experiments, choose the tools we use, make data accessible to the product team, and establish the frameworks that drive every product decision going forward. This is not a role where you inherit someone else&apos;s dashboards and maintain them. You&apos;ll set up how we measure success, how we design experiments, and how the team learns from data. You&apos;ll work closely with Elisa (Head of Product), and the wider product, design, and engineering teams. Your work will directly shape everything from onboarding to pricing across our app, website, and partner portal. Note From Our Hiring Manager, Elisa Hi, I&apos;m Elisa, and I head the Product team at Roamless. I&apos;ve spent my career building products at companies like Trivago (Analytics product), Grab, and Visa. As an avid traveller myself, I know we can build the best cross-border connectivity experience for our users. I&apos;m working alongside Ali, our COO, and the rest of the founders, who, between them have over 20 years of combined experience in building telecom infrastructure. This mix of deep telco know-how combined with strong product thinking is what makes us uniquely positioned to win this market. What You Will Do <ul><li>Work closely with product managers, engineers, and designers as a strategic partner throughout the product development lifecycle, using data to shape decisions from ideation to execution</li><li>Design and run A/B tests end-to-end: define hypotheses, calculate sample sizes, monitor experiments, analyze results, and make clear recommendations to the product team</li><li>Build the experimentation framework from scratch: establish best practices for how we design, run, and learn from experiments across the app, website, and partner portal</li><li>Analyze user behavior and product metrics to identify optimization opportunities in our PLG metrics: activation, monetization, retention</li><li>Define and track key product metrics, ensuring the team understands what success looks like and how we measure it</li><li>Translate data insights into actionable product recommendations that directly improve the customer experience</li><li>Build our data culture: teach the product team how to think about experiments, interpret results, and make data-informed decisions </li></ul>Must-haves What you will bring: <ul><li>5+ years of experience as a Product Analyst or similar role at a tech company, working alongside product, design, and engineering teams</li><li>Hands-on experience designing and running A/B tests at scale (sample sizing, statistical significance, common pitfalls) and translating results into clear product recommendations</li><li>Experience setting up experimentation frameworks and analytics best practices, ideally from scratch or at an early-stage company</li><li>Proficient in SQL: you can write complex queries independently to extract and analyze large datasets</li><li>Experience creating dashboards with BI tools (Tableau, Looker, or similar)</li><li>Experience with product analytics tools (Mixpanel, Amplitude, or similar)</li><li>Strong communicator: you translate data into product recommendations that non-analysts can understand and act on</li><li>Proactive and resourceful: you thrive where things aren&apos;t fully defined, and you make them clearer</li><li>Startup or fast-paced environment experience. You are comfortable with ambiguity, happy to wear many hats </li></ul>Nice-to-haves <ul><li>Python or R for statistical analysis</li><li>Experience with MongoDB, BigQuery, Snowflake, or Google Analytics</li><li>Experience in travel, marketplace, or subscription business models</li><li>Worked across mobile and web applications </li></ul>To get more context on who we are and how we work, read &quot;Who is a Roamie? Our Core Traits Manifesto&quot;. It explains the core traits we look for in everyone we hire. What we offer <ul><li>&#x1F4C8; Stock options. All employees are eligible for stock options subject to tenure and performance.</li><li>&#x1F4BB; Hardware you need to be most productive</li><li>&#x1F4BB; Home office budget. $500 on equipment for home office setup (eg. a keyboard, a screen, etc). This is a one-off budget that doesn&#x2019;t renew every year, but doesn&#x2019;t expire.</li><li>&#x1F393; Learning and development budget. Up to $1000 annually to be spent on books, online courses, conferences, etc.</li><li>&#x1F30E; Fully remote. The trust and flexibility that come with a fully-remote setup. Fully remote. We&apos;re looking for someone based in Europe, or working in a Europe-friendly time zone (CET &#xB1;2 hours).</li><li>&#x1F310; $200 non-expiry yearly Flex credit for data, hotspot, and calls.</li><li>&#x1F4F1;Annual phone number subscription for $1/year. You get an annual phone number subscription for $1/year. A real phone number (UK, Canada, or Australia) inside the Roamless app.</li><li>&#x1F4DD; Full-time local contract via EOR</li><li>&#x1F917; Supportive, diverse, inclusive team </li></ul>Note on compensation: Our salary range varies based on your location and experience level. We&apos;re a fully remote team, so we factor in local market context, not a one-size-fits-all number. Compensation The base pay range for this role is &#x20AC;50,000 &#x2013; &#x20AC;80,000 per year.

Senior Product Analyst

&#x1F680; Estamos buscando el mejor talento&#x2026; &#xA1;y nos encantar&#xED;a que te unieras a nuestro equipo!UST es una multinacional l&#xED;der en servicios de tecnolog&#xED;a digital, certificada como Top Employer, con m&#xE1;s de 35.000 profesionales en todo el mundo y presencia en m&#xE1;s de 30 pa&#xED;ses. Ayudamos a grandes compa&#xF1;&#xED;as a trav&#xE9;s de soluciones tecnol&#xF3;gicas innovadoras y proyectos de transformaci&#xF3;n digital. &#x1F50E; &#xBF;Qu&#xE9; buscamos?Buscamos un/a PL/SQL Data Analyst con experiencia avanzada en Power BI para incorporarse a un squad Agile y participar de forma integral en el ciclo de vida de las user stories, desde el an&#xE1;lisis de requisitos hasta la validaci&#xF3;n final con negocio.La persona seleccionada ser&#xE1; responsable de garantizar la calidad, consistencia y fiabilidad de la informaci&#xF3;n reportada, trabajando estrechamente con equipos t&#xE9;cnicos y stakeholders de negocio para desarrollar soluciones de reporting de alto impacto. &#x1F4CD; Ubicaci&#xF3;n: 100% remoto (Espa&#xF1;a)&#x1F5E3;&#xFE0F; Idioma: Ingl&#xE9;s nivel B1 o superior &#x1F527; Responsabilidades principales<ul><li>Analizar requisitos funcionales y transformarlos en soluciones anal&#xED;ticas eficientes.</li><li>Dise&#xF1;ar, desarrollar y optimizar dashboards, informes y visualizaciones avanzadas en Power BI.</li><li>Realizar validaciones y an&#xE1;lisis de datos para asegurar la calidad de la informaci&#xF3;n.</li><li>Desarrollar y mantener consultas y procedimientos en PL/SQL.</li><li>Participar en actividades de testing y soporte durante las fases de validaci&#xF3;n con usuarios de negocio.</li><li>Colaborar activamente dentro de un entorno Agile participando en ceremonias y actividades del squad.</li><li>Garantizar la consistencia, trazabilidad y fiabilidad de los datos reportados.</li><li>Proponer mejoras y automatizaciones sobre los procesos de reporting existentes.</li></ul> &#x2705; Requisitos clave<ul><li>M&#xED;nimo de 5-6 a&#xF1;os de experiencia desarrollando dashboards, reporting y visualizaciones en Power BI.</li><li>Entre 3 - 4 a&#xF1;os de experiencia en PL/SQL.</li><li>Experiencia s&#xF3;lida en modelado de datos.</li><li>Experiencia en validaci&#xF3;n, an&#xE1;lisis y control de calidad de datos.</li><li>Experiencia trabajando con metodolog&#xED;as Agile.</li><li>Capacidad anal&#xED;tica, orientaci&#xF3;n al detalle y compromiso con la calidad de los datos.</li><li>Buenas habilidades de comunicaci&#xF3;n y experiencia colaborando con usuarios de negocio.</li><li>Nivel de ingl&#xE9;s B1 o superior.</li></ul> &#x2B50; Valoraremos especialmente<ul><li>Conocimientos de Scala a nivel intermedio (3-4 a&#xF1;os)</li><li>Experiencia en la definici&#xF3;n y seguimiento de KPIs y m&#xE9;tricas de negocio.</li><li>Experiencia en optimizaci&#xF3;n y automatizaci&#xF3;n de procesos de reporting.</li><li>Participaci&#xF3;n en procesos UAT, User Acceptance Testing.</li><li>Experiencia acompa&#xF1;ando y dando soporte a usuarios de negocio durante las fases de validaci&#xF3;n y despliegue.</li></ul> &#x1F4B0; &#xBF;Qu&#xE9; ofrecemos?&#x2708;&#xFE0F; 23 d&#xED;as de vacaciones + 24 y 31 de diciembre.&#x2764;&#xFE0F; Beneficios sociales (seguro m&#xE9;dico, seguro de vida y accidentes, compensaci&#xF3;n de teletrabajo).&#x1F374; Programa de retribuci&#xF3;n flexible (restaurante, guarder&#xED;a, transporte, formaci&#xF3;n de idiomas y seguro de salud).&#x1F393; Acceso gratuito a m&#xFA;ltiples plataformas de formaci&#xF3;n.&#x1F680; Estabilidad profesional y plan de carrera.&#x1F91D; Programa de referidos con incentivos.&#x1F4B3; Posibilidad de elegir entre 12 o 14 pagas.&#x1F3E0; Medidas reales de conciliaci&#xF3;n y flexibilidad laboral.&#x1F381; Descuentos exclusivos a trav&#xE9;s de UST Club y acuerdos con gimnasios. &#x1F4E9; Si te apasionan los datos, Power BI y la generaci&#xF3;n de insights de negocio, queremos conocerte. &#xA1;Inscr&#xED;bete y forma parte de UST! En UST estamos comprometidos con la igualdad de oportunidades y la diversidad. Todos los procesos de selecci&#xF3;n se realizan sin discriminaci&#xF3;n por raz&#xF3;n de g&#xE9;nero, edad, discapacidad, raza, religi&#xF3;n, orientaci&#xF3;n sexual o nacionalidad.

PL/SQL Data Analyst (Power BI) - 100% Remote

<div class="content-intro">About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the&nbsp;<a href="https://www.pinterestcareers.com/our-life/pinflex/">flexibility</a> to do your best work. Creating a career you love? It’s Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process <a href="https://www.pinterestcareers.com/our-philosophy-on-ai-in-hiring/">here</a>.</div>Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the <a href="https://www.pinterestcareers.com/our-life/pinflex/">flexibility</a> to do your best work. Creating a career you love? It’s Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process <a href="https://www.pinterestcareers.com/our-philosophy-on-ai-in-hiring/">here</a>.
As a Data Scientist in our Core organization - Trust and Safety + Content Quality, you will shape the future of people-facing and business-facing products we build at Pinterest. Your expertise in quantitative modeling, experimentation and algorithms will be utilized to solve some of the most complex engineering challenges at the company. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Design, Research, Product Analytics, Data Engineering and others. The results of your work will influence and uplevel our product development teams while introducing greater scientific rigor into the real world products serving hundreds of millions of pinners, creators, advertisers and merchants around the world. The core mandate is to evolve the organization from reactive moderation and lagging harm reporting into a proactive, metrics-driven operating system—where we manage leading indicators that predict risk, improve understanding quality, and keep Pinterest safe, inspiring, and useful.
What you’ll do:
<ul>
<li>Develop a deep, nuanced understanding of the Pinterest trust and safety platform, quantifying full funnel opportunities and risks</li>
<li>Lead projects on: Trust and Safety opportunities across different funnel stages</li>
<li>Design and productionize robust, scalable ML and evaluation frameworks—spanning statistical measurement, product recommendation, and forecasting</li>
<li>Develop best practices for instrumentation and experimentation and communicate those to product engineering teams to help us fulfill our mission - to bring everyone the inspiration to create a life they love</li>
<li>Bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of our Pinners</li>
<li>Build and prototype analysis pipelines iteratively to provide insights at scale while developing comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development</li>
<li>Work cross-functionally to build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest</li>
</ul>
&nbsp;
What we’re looking for:
<ul>
<li>Minimum 10 years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data</li>
<li>Extensive experience solving analytical problems using quantitative approaches including in the fields of Machine Learning, Statistical Modeling, Forecasting, Econometrics or other related fields</li>
<li>A scientifically rigorous approach to analysis and data, and a well-tuned sense of skepticism, attention to detail and commitment to high-quality, results-oriented output</li>
<li>Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL (or other database languages) and a scripting language (Python or R)</li>
<li>Excellent communication skills and ability to explain learnings to both technical and non-technical partners</li>
<li>A team player who’s able to partner with cross-functional leadership to quickly turn insights into actions</li>
<li>Excellent communication and influencing skills</li>
<li>Bachelor’s degree in Computer Science, a related field or equivalent experience</li>
</ul>
&nbsp;
Relocation Statement:
<ul>
<li>We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.</li>
<li>This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.</li>
</ul>
Relocation Statement:
<ul>
<li>This position is not eligible for relocation assistance. Visit our<a href="https://www.pinterestcareers.com/pinflex/"> PinFlex</a> page to learn more about our working model.</li>
</ul>
&nbsp;
#LI-NM4
#LI-REMOTE<div class="content-pay-transparency"><div class="pay-input"><div class="description">At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found <a href="https://www.pinterestcareers.com/pinterest-life/" target="_blank">here</a>.</div><div class="title">US based applicants only</div><div class="pay-range">$164,695&mdash;$339,078 USD</div></div></div><div class="content-conclusion">Our Commitment to Inclusion:
<div>Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete&nbsp;<a href="https://forms.gle/sS24D4WboEKUZMQK6">this form</a> for support.</div>
<div>&nbsp;</div>
<div>By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.</div></div>

Staff Data Scientist, Trust and Safety

<div class="content-intro">About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the&nbsp;<a href="https://www.pinterestcareers.com/our-life/pinflex/">flexibility</a> to do your best work. Creating a career you love? It’s Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process <a href="https://www.pinterestcareers.com/our-philosophy-on-ai-in-hiring/">here</a>.</div>We’re looking for a Sr. Software Engineer , Data Analytics and Engineering to improve the quality, reliability and velocity of data science and product development at Pinterest. You’ll build scalable data foundations, analytics tooling and analysis pipelines that enable trusted, self-service access to datasets, insights and metric investigations across cross-functional teams.
&nbsp;
What you’ll do:
&nbsp;
<ul>
<li>Develop and document practical instrumentation and experimentation standards, then partner with product engineering teams to apply them to priority product development work.</li>
<li>Build and improve scalable analysis pipelines and tooling that produce reliable insights at scale and strengthen understanding of key data structures and metrics.</li>
<li>Create tools and processes that enable Data Scientists and Engineers to independently access trusted datasets, insights and metric definitions.</li>
<li>Identify data quality and discoverability gaps, advocate for targeted improvements and contribute to reliable, well-governed data practices.</li>
<li>Maintain clear documentation for tools, datasets, metrics and operating practices to make team data assets easier to use.</li>
<li>Partner with Product, Engineering, Data Science, Data Engineering and Business Intelligence teams to communicate actionable insights and inform product improvements.</li>
<li>Use AI to accelerate analysis, prototyping and iteration, while applying judgment and verification to ensure correctness, quality and responsible use.</li>
</ul>
&nbsp;
What we’re looking for:
&nbsp;
<ul>
<li>Minimum of 4 years of experience delivering analytics engineering or data solutions in a fast-paced, data-driven environment.</li>
<li>Experience using SQL and Python, R or a comparable programming language to work with large, high-dimensional datasets, including nested data structures, window functions, query optimization and data partitioning.</li>
<li>Experience building and operating data workflows, including workflow orchestration, ETL/ELT pipelines and DAG dependencies across complex datasets.</li>
<li>Experience translating open-ended partner needs into clear, impactful technical objectives and collaborating across Product, Engineering, Data Science, Data Engineering and Business Intelligence teams.</li>
<li>Demonstrated ability to use AI to improve speed and quality in day-to-day engineering workflows.</li>
<li>Strong track record of critically evaluating and verifying AI-assisted work through testing, data validation, source-checking or peer review.</li>
<li>High integrity and ownership: you protect sensitive data, avoid over-reliance on AI and remain accountable for final decisions and deliverables.</li>
<li>Bachelor’s degree in a relevant field such as Computer Science, Statistics, Mathematics or a related discipline, or equivalent experience.</li>
</ul>
&nbsp;
Relocation Statement:
&nbsp;
<ul>
<li>This position is not eligible for relocation assistance. Visit our <a href="https://www.pinterestcareers.com/pinflex/">PinFlex</a> page to learn more about our working model.</li>
</ul>
&nbsp;
In-Office Requirement Statement:
<ul>
<li>PinFlex: We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.</li>
<li>This role will need to be in the office for in-person collaboration 1–2 times per month and therefore can be situated anywhere in the country.</li>
</ul>
#LI-REMOTE<div class="content-pay-transparency"><div class="pay-input"><div class="description">At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found <a href="https://www.pinterestcareers.com/pinterest-life/" target="_blank">here</a>.</div><div class="title">US based applicants only</div><div class="pay-range">$183,040&mdash;$320,320 USD</div></div></div><div class="content-conclusion">Our Commitment to Inclusion:
<div>Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete&nbsp;<a href="https://forms.gle/sS24D4WboEKUZMQK6">this form</a> for support.</div>
<div>&nbsp;</div>
<div>By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.</div></div>

Sr. Software Engineer, Data Analytics Engineering

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Product Analyst (CX) based in United Kingdom. This role sits at the heart of product decision-making, using data to uncover opportunities, validate hypotheses, and drive measurable growth. You will take ownership of the product metrics framework and ensure teams have clear, reliable definitions for the numbers that matter most. Working closely with Product and functional leaders, you will investigate anomalies, identify bottlenecks, and translate complex data into actionable insights. You will play a key role in designing and analyzing A/B tests, from experiment setup and statistical validation through recommendations. The position combines rigorous quantitative analysis with strong business and product judgment in a highly collaborative, distributed environment. Your work will directly influence prioritization and help teams focus on opportunities with the greatest potential impact. This is an excellent opportunity for an analytical professional who enjoys turning data into strategic product decisions. Accountabilities <ul><li>Own and continuously evolve the product metrics tree, ensuring that key metrics have clear, consistent, and locked definitions and that each team can understand how its work influences the overall north-star metric.</li><li>Validate existing metrics and dashboards, identify inconsistencies, and create clear specifications for Data Engineering to ensure reliable and accurate reporting.</li><li>Partner directly with functional and product leads to investigate fluctuations, anomalies, and unexpected changes in business and product performance.</li><li>Conduct ad-hoc research to identify bottlenecks, conversion drop-offs, meaningful customer segments, and non-obvious patterns that may reveal growth opportunities.</li><li>Validate product hypotheses through rigorous quantitative analysis and collaborate with Product teams to prioritize problems according to their potential impact on key business metrics.</li><li>Design and analyze A/B tests, including sample-size calculations, minimum detectable effect, experiment duration, randomization splits, and pre-test validation.</li><li>Verify experiment split correctness, perform sanity checks before interpreting results, and report outcomes alongside appropriate guardrail metrics.</li><li>Define data-tracking requirements for experiments, including the events and instrumentation needed to measure results accurately.</li><li>Maintain an organized archive of experiments and ensure every test produces clear, actionable recommendations for future product decisions.</li><li>Proactively identify data-quality issues and inconsistencies before unreliable information is used to make important product or business decisions. </li></ul>Requirements <ul><li>A higher education degree in mathematics, statistics, computer science, engineering, or another relevant technical discipline.</li><li>Strong knowledge of mathematical statistics and probability theory, with proven experience applying statistical methods to real-world analytical and product problems.</li><li>Advanced proficiency in data extraction, processing, analysis, and visualization, with hands-on experience using MS SQL, Python, and Excel.</li><li>Deep practical experience designing, running, and analyzing A/B tests, including statistical evaluation and interpretation of experiment results.</li><li>Strong understanding of marketing and product metrics, with experience applying them to evaluate performance, identify opportunities, and support strategic decisions.</li><li>Strong analytical and problem-solving abilities, with the capacity to investigate complex questions, identify meaningful patterns, and translate findings into practical recommendations.</li><li>Excellent communication and collaboration skills, with the ability to work effectively with Product, Data Engineering, and functional leadership teams.</li><li>A proactive, detail-oriented mindset and a strong sense of ownership, particularly when it comes to data quality, metric consistency, and the reliability of insights used for decision-making. </li></ul>Benefits <ul><li>Fully remote, full-time work opportunity.</li><li>Competitive compensation, with the initial pay level or salary range shared with candidates during the recruitment process and before employment begins.</li><li>28 calendar days of paid vacation per year.</li><li>7 wellness days per year that can be used for personal matters, recovery, or time away from work without requiring sick leave.</li><li>Referral bonuses of up to $5,000 for successfully recommending candidates who are hired.</li><li>50% reimbursement for professional training, international conferences, and professional meetings.</li><li>Corporate discounts for English language lessons.</li><li>Health benefits, including reimbursement of up to $1,000 gross per year per employee when corporate medical insurance is not available, which can be used toward private health insurance or eligible medical expenses for the employee and close relatives.</li><li>Workplace support, including equipment and an equipped workspace where applicable, or reimbursement of up to $1,000 gross once every three years toward coworking costs or home-office setup expenses such as a desk, chair, or internet.</li><li>An internal gamified recognition system that allows employees to receive rewards from colleagues and exchange them for merchandise, team-building activities, massage certificates, and other benefits.</li><li>A flexible, international remote environment designed to support collaboration across different locations and working styles. </li></ul>How Jobgether Works We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role&apos;s core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Senior Product Analyst (CX)

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<div><a href="https://jobicy.com/company/reddit" target="_blank" rel="noopener">Reddit</a> 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 href="http://www.redditinc.com/" target="_blank" rel="nofollow ugc noopener">www.redditinc.com</a>.</div>
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</div>
</div>
</div></div>Reddit’s Ads Data Science team is looking for a highly experienced Staff Data Scientist to advance the intelligence powering the advertiser experience on Reddit. In this role, you'll take deep ownership of a high-impact problem space within advertising, specializing in measurement, identity, and signal quality.This is a high-impact, high-autonomy role where you'll influence strategic direction, set a high technical bar, and drive cross-functional initiatives across one or more critical focus areas in the Ads organization.Responsibilities:<ul>
<li>Design the Future of Ads Identity: Develop/employ probabilistic models for identity resolution. Design the methodology that links on-platform and off-platform actions to maximize addressability while honoring privacy.</li>
<li>Advance Lift Methodologies &amp; Experimentation: Own the statistical rigor behind Reddit’s Brand and Conversion Lift products. Innovate experimental design and develop infrastructure that supports large-scale, high-velocity, low-bias testing for advertisers.</li>
<li>Maximize Signal for Predictive Performance: Define the strategy for new signal sources. You will mathematically quantify the value of these signals and work with modeling teams to incorporate them into predictive models, directly improving bidding efficiency and ROAS.</li>
<li>Define Ground Truth &amp; Evaluation Frameworks: Solve the industry-wide challenge of validating identity and measurement. Design the objective functions and truth sets used to train our models and measure the incremental impact of our identity graph.</li>
<li>Lead Through Cross-Functional and Technical Influence: Collaborate deeply with engineering, product, and sales to align on strategic goals, translate insights into action, and drive execution. Set a high technical bar by mentoring others and championing best practices across modeling, experimentation, and measurement.</li>
</ul>Qualifications:Required:<ul>
<li>Advanced degree (Master's or Ph.D.) in Statistics, Mathematics, Physics, Economics, or Operations Research</li>
<li>For M.S. holders: 10+ years of industry experience in applied science or data science roles</li>
<li>For Ph.D. holders: 6+ years of industry experience in applied science or data science roles</li>
<li>Deep understanding of the ads ecosystem</li>
<li>Demonstrated expertise in at least one of the following areas:</li>
<ul>
<li>Measurement &amp; Experimentation at Scale (with focus on lift and attribution)</li>
<li>Identity Graph Creation &amp; Resolution Methodology and Infrastructure</li>
<li>Predictive Modeling with Signal Loss</li>
</ul>
<li>Advanced proficiency in statistical programming (Python or R) and SQL.</li>
<li>Experience with machine learning or optimization techniques</li>
<li>Strong understanding of experimental design, causal inference, or A/B testing methodologies</li>
<li>Exceptional problem-solving and communication skills, with a track record of influencing product and engineering partners</li>
<li>Experience working in fast-paced, ambiguous environments with cross-functional teams</li>
</ul>Benefits:<ul>
<li>Comprehensive Healthcare Benefits and Income Replacement Programs</li>
<li>401k with Employer Match</li>
<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>Flexible Vacation &amp; Paid Volunteer Time Off</li>
<li>Generous Paid Parental Leave </li>
</ul> #LI-Remote<div>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. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. 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" rel="nofollow ugc noopener" target="_blank">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. 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>

Staff Data Scientist - Ads Measurement, Signals, Privacy

In 1989, Tim Berners-Lee wrote a proposal for CERN. CERN lost knowledge when people left, because its information was in many systems that did not connect. His solution was simple: link documents so that all people can find them and use them. That proposal became the World Wide Web.
Mercury has a similar challenge with data. Teams, models, and AI agents need data that they can find, understand, and trust. We are building an AI-native data platform that enables Mercury to have reliable analytics, accelerate product development, and enable the next generation of AI-powered products and internal tools.
We are hiring a Senior Analytics Engineer to help us accelerate. You’ll join a team of high-performing Data and Analytics Engineers building the shared foundations that power decisioning, automation, and measurement across the company, collaborating closely with Data Scientists and partners in Product, Engineering, and Operations. Your curiosity and bias toward action will drive meaningful impact as you build durable data products, unlock faster experimentation, and help teams ship propensity models, agentic workflows, and amazing data-driven experiences for our customers. Come grow with us.
<h3>Responsibilities:</h3>
<ul>
<li>Design and build scalable data pipelines and business-conformed dimensional data marts in collaboration with Data Science, Engineering, Product, and Operations departments&nbsp;</li>
<li>Support the development and adoption of agentic tooling. We have our own AI Data Analyst (Hermes) and dbt Agent (Ralph) that are built and managed by our Analytics Engineers</li>
<li>Support self-service analytics workflows, Analytics Engineering skills, and dimensional data principles through implementation, education, and peer support</li>
<li>Help us implement the data and analytics products we’ll need to effect our bank charter</li>
<li>Contribute to the evolution of our data quality, governance, and security strategies</li>
<li>Contribute to our definition of Analytics Engineering standards and best practices</li>
</ul>
<h3>You may be a good fit if you:</h3>
<ul>
<li>Have 4+ years of Analytics or Data Engineering experience</li>
<li>Have expertise working in a full modern data stack including Fivetran / Airflow / Snowflake / dbt / Omni / Hex or equivalents</li>
<li>Are proficient with SQL and have working experience with Python</li>
<li>Proficient using AI agents to accelerate your and your teammates’ work</li>
<li>Have experience with dimensional data modeling principles and building data for scale</li>
<li>Treat data products as a platform by prioritizing reusable, scalable deliverables</li>
<li>Deliver readable code, strong tests, and quality documentation</li>
<li>Experiment responsibly and share what you learn so everyone benefits</li>
<li>Practice relentless empathy by meeting your stakeholders in Data, Product, Engineering, and beyond where they’re at and helping them succeed</li>
<li>Discern what’s needed from what’s wanted to deliver maximum impact</li>
</ul>
<h3>Strong candidates may additionally have:</h3>
<ul>
<li>Banking* or financial services industry experience</li>
<li>Experience with agentic development and/or analytics workflows</li>
<li>Exposure to data governance, compliance, and security best practice</li>
<li>A full-stack mindset and willingness to solve problems end-to-end by flexing into Data Engineering and Data Analysis</li>
</ul>
If this role interests you, we invite you to explore our public demo at <a href="demo.mercury.com">demo.mercury.com</a>.&nbsp;
*Mercury is a fintech company, not an FDIC-insured bank. Banking services provided through Choice Financial Group and Column N.A., Members FDIC.
Mercury values diversity &amp; belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.
#LI-GC1<div class="content-pay-transparency"><div class="pay-input"><div class="description">Total Rewards The total rewards package at Mercury includes base salary, equity (stock options/RSUs), and benefits.
Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers.
Our target new hire base salary ranges for this role are the following:</div><div class="title">US employees (any location):</div><div class="pay-range">$166,600&mdash;$208,300 USD</div></div><div class="pay-input"><div class="title">Canadian employees (any location):</div><div class="pay-range">$157,400&mdash;$196,800 CAD</div></div></div>

Senior Analytics Engineer

<div class="content-intro">Ready to do the most impactful work of your career? At <a href="https://himalayas.app/companies/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. <a href="https://himalayas.app/companies/coinbase">Coinbase</a> is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at <a href="https://himalayas.app/companies/coinbase">Coinbase</a>.</div>Data Science is an integral component of <a href="https://himalayas.app/companies/coinbase">Coinbase</a>’s product and decision making process: we work in partnership with Product, Engineering and Design to influence the roadmap and better understand our users. With a deep expertise in experimentation, analytics and advanced modeling, we produce insights which directly move the company’s bottom line.As a Data Scientist in the consumer org, you'll apply these skills to improve the customer experience across <a href="https://himalayas.app/companies/coinbase">Coinbase</a>'s consumer products—spot and advanced trading, yield, <a href="https://himalayas.app/companies/coinbase">Coinbase</a> One (CB1), international expansion, and new launches (including prediction markets and equities trading). You'll define and instrument key metrics, build measurement and causal frameworks, and translate insights into product strategy and shipped improvements.<h3>What you'll be doing:</h3><ul>
<li>Conduct analysis and deep dives on ambiguous problems for our business. Your work will result in insights and recommendations that guide the team’s decision making.</li>
<li>Act as owner for a broad scope of data and metrics, from core logging to presentation of data visualizations. </li>
<li>Guide code reviews, provide SQL and Python expertise, and create well-maintained ETL jobs. </li>
<li>Maintain a high bar for statistical rigor on your team. Ensure that we’re conducting experimentation and causal analyses that build confidence with your stakeholders.</li>
</ul><h3>What we look for in you:</h3><ul>
<li>A BA/BS in a quantitative field (ex Math, Stats, Physics, or Computer Science) with ≥5+ years of relevant experience or a PhD in a quantitative field with with ≥3+ years of relevant experience</li>
<li>Demonstrated experience in driving impactful data science projects that tackle ambiguous problem spaces. </li>
<li>Ability to influence external stakeholders by synthesizing data learnings into compelling stories.</li>
<li>Practical expertise in applying complex modeling frameworks to practical business problems. </li>
<li>Professional experience using SQL and Python.</li>
<li>Experience working with digital products in an iterative development cycle.</li>
<li>Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution.</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><div class="content-pay-transparency"><div class="pay-input">
<div class="description">Pay Transparency Notice: The target annual base salary for this position can range as detailed below. Total compensation mayalso include equity and bonus eligibility and benefits (including medical, dental, and vision).</div>
<div class="title">Annual base salary range (excluding equity and bonus):</div>
<div class="pay-range">£122,400—£136,000 GBP</div>
</div></div><div class="content-conclusion"><ul>
<li>
Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period.</li>
<li>Equal Opportunity Employer: <a href="https://himalayas.app/companies/coinbase">Coinbase</a> 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>US Applicants: View Employee Rights, Know Your Rights, and E-Verify Notice of Participation.</li>
<li>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. Need screen reading technology? Click here to download a free compatible screen reader and view thetutorial.</li>
<li>Data Privacy &amp; Arbitration: By submitting your application, you agree to our Candidate Privacy Notice. US applicants: By submitting your application, you agree to Arbitration of Disputes.</li>
</ul></div>Originally posted on <a href="https://himalayas.app">Himalayas</a>

Senior Data Scientist, Product

<div class="content-intro"><a href="https://himalayas.app/companies/may-mobility">May Mobility</a> is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think. Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We’re building the world’s best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we’ve given more than 500,000 autonomous rides to real people around the globe. And we’re just getting started. We’re hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us.</div>The Autonomy Mapping &amp; Localization group's mission is to provide our vehicles with world-class spatial intelligence, semantic and topological mapping, and state estimation to model and navigate complex urban, suburban, and rural environments. We are looking for a Lead ML Engineer to join our team and architect the next generation of our mapping and localization stack. As the Lead ML Engineer for Mapping, you will be at the forefront of this mission, building the production-grade semantic and topological foundation that allows our vehicles to understand and navigate the world's most challenging roads at scale.<h3>Essential Responsibilities</h3><ul>
<li>Architect, design, and implement a production-grade lane and route network mapping stack, ensuring high-performance integration with the broader autonomy system</li>
<li>Lead the research, design, training and validation of advanced neural architectures. This includes object detection, classification, segmentation, tracking, depth estimation, and 3D reconstruction to extract and model lane and route networks, alongside key semantic features (e.g., traffic signs, signals, and road markings), for automated mapping.</li>
<li>Drive major feature development from inception to deployment. This includes high-level architecture design, rigorous code reviews, automated testing, mentorship of junior engineers, and technical resolution.</li>
<li>Own the end-to-end data strategy for the mapping domain. You will define data curation, auto-labeling, synthetic data, and active learning pipelines to capture and resolve long-tail scenarios.</li>
<li>Develop robust metrics and evaluation frameworks for lane and route network accuracy, temporal consistency, and scaling across diverse Operational Design Domains (ODDs).</li>
<li>Work independently with cross-functional teams to translate complex autonomy goals into clear software and system requirements.</li>
<li>Collaborate with ML and Autonomy engineers to ensure the seamless deployment and validation of mapping features to the vehicle fleet.</li>
<li>Stay at the research frontier by evaluating, adapting, and innovating cutting-edge techniques. This includes online vectorized HD map construction, end-to-end mapping models, and vision/fusion foundation models to deliver production-ready solutions.</li>
</ul><h3>Qualifications and Experience</h3>Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience:<h3>Required</h3><ul>
<li>Ph.D. or Master’s degree in Computer Science, Electrical Engineering, Robotics, or a related field with a strong mathematical and engineering foundation.</li>
<li>7+ years of industry experience developing and deploying ML/DL models for mapping or computer vision at scale.</li>
<li>Deep expertise in several of the following areas:</li>
<ul>
<li>Computer Vision Foundations: Object detection, classification, segmentation, tracking, depth estimation, and 3D reconstruction.</li>
<li>Lane-level topology and connectivity, intersection modeling, and lane/road network graph construction.</li>
<li>Vectorized mapping networks (e.g., MapTR), BEV-based scene representation, and temporal modeling.</li>
<li>Self-supervised/semi-supervised and vision/fusion Foundation Models.</li>
</ul>
<li>Strong understanding of HD maps, including lane and road network geometry modeling, connectivity, and semantic attributes.</li>
<li>Expertise in ML/DL development using PyTorch or TensorFlow, including experience with distributed training, synthetic data generation, large-scale dataset handling, and data curation strategies.</li>
<li>Strong programming skills in Python and/or C++ with experience in modular software design and Linux-based development.</li>
<li>Proven leadership in guiding technical roadmaps, mentoring engineers, and driving measurable improvements in model performance and system reliability.</li>
<li>Strong communication skills with the ability to lead technical discussions and align with cross-functional teams.</li>
</ul><h3>Desirable</h3><ul>
<li>10+ years of experience in ML/DL for autonomous driving or ADAS systems.</li>
<li>Experience with feature extraction and/or fusion from both street-level and overhead imagery.</li>
<li>Experience utilizing Vision-Language Models (VLMs) and/or Foundation Models for auto-labeling and long-tail (edge-case) detection.</li>
<li>Expertise in ML optimization for real-time products with limited compute, such as quantization and pruning of large transformer models.</li>
<li>A proven record of inventions and/or publication record at top-tier conferences (e.g., CVPR, NeurIPS, ICCV, ECCV, ICLR).</li>
</ul><h3>Physical Requirements</h3><ul>
<li>Standard office working conditions which includes but is not limited to:</li>
<ul>
<li>Prolonged sitting</li>
<li>Prolonged standing</li>
<li>Prolonged computer use</li>
</ul>
<li>Travel required? - Moderate: 11%-25%</li>
</ul><hr><div class="c-message_kit__blocks c-message_kit__blocks--rich_text"><div class="c-message__message_blocks c-message__message_blocks--rich_text"><div class="p-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">
<h3>Benefits and Perks</h3>
<ul>
<li>Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate. </li>
<li>Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available.</li>
<li>Rich retirement benefits, including an immediately vested employer safe harbor match.</li>
<li>Generous paid parental leave as well as a phased return to work. </li>
<li>Flexible vacation policy in addition to paid company holidays.</li>
<li>Total Wellness Program providing numerous resources for overall wellbeing </li>
</ul>
</div>
<div class="p-rich_text_section">Don’t meet every single requirement? Studies have shown that women and/or people of color are less likely to apply to a job unless they meet every qualification. At <a href="https://himalayas.app/companies/may-mobility">May Mobility</a>, we’re committed to building a diverse, inclusive, and authentic workforce, so if you’re excited about this role but your previous experience doesn’t align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at May.</div>
</div></div></div></div></div>Want to learn more about our culture &amp; benefits? Check out our website!<a href="https://himalayas.app/companies/may-mobility">May Mobility</a> is an equal opportunity employer. All applicants for employment will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics or any other legally protected basis. Below, you have the opportunity to share your preferred gender pronouns, gender, ethnicity, and veteran status with <a href="https://himalayas.app/companies/may-mobility">May Mobility</a> to help us identify areas of improvement in our hiring and recruitment processes. Completion of these questions is entirely voluntary. Any information you choose to provide will be kept confidential, and will not impact the hiring decision in any way. If you believe that you will need any type of accommodation, please let us know.Note to Recruitment Agencies: <a href="https://himalayas.app/companies/may-mobility">May Mobility</a> does not accept unsolicited agency resumes. Furthermore, <a href="https://himalayas.app/companies/may-mobility">May Mobility</a> does not pay placement fees for candidates submitted by any agency other than its approved partners.<div class="content-pay-transparency"><div class="pay-input">
<div class="title">Salary Range</div>
<div class="pay-range">$225,000—$275,000 USD</div>
</div></div>Originally posted on <a href="https://himalayas.app">Himalayas</a>

Lead ML Engineer - Mapping

Role Overview-The Digital &amp; Marketing Analytics team provides advanced analytics products/dashboards and reporting services to stakeholders in the Digital and Marketing teams. Salary: $115K Write Up &#x2013; Required Professional Experience, Technologies &amp; Additional Context <ul><li>Summarize exp. they have with enterprise analytical &amp; BI tools (such as, Cognos, Tableau, Qlickview, Excel PowerPivot, SSRS)</li><li>Summarize exp they have with programming languages (such as SAS, SQL, R, or STATA)</li><li>What regulated industry do they have experience in, as an Analytics Developer? (Healthcare, etc) </li></ul>Baylor Scott &amp; White &#x2013; Remote. Excluding Baylor Restricted States: California, Hawaii, New Jersey, New York, North Dakota, Oregon, Puerto Rico, Rhode Island, US Virgin Islands, Washington, Wyoming Analytics Developer III Direct Hire *Candidates must complete a background check &amp; drug screen upon offer* Job Description: The Digital Analytics team delivers trusted measurement, advanced analytics products, dashboards, reporting, and actionable insights to leaders and stakeholders across the organization. As a member of the Customer Analytics team, the Analytics Developer III serves as a high-impact, leadership-facing analyst who connects business strategy, digital experiences, customer behavior, and data to guide decisions. This role partners with senior leaders and cross-functional teams to frame ambiguous business needs as clear analytical problem statements, determine what must be measured, and identify creative, fact-based ways to answer the questions that matter most. The role owns the analytical lifecycle from data-first measurement design and tracking requirements through data collection, implementation support, quality assurance, exploratory analysis, metric development, dashboarding, and executive-ready storytelling. ESSENTIAL FUNCTIONS Of The ROLE <ul><li>Partner with leaders and cross-functional teams to understand business objectives, challenge assumptions, and translate ambiguous needs into clear analytical problem statements and measurable outcomes.</li><li>Define the measurement strategy before implementation, including events, dimensions, metrics, data sources, tracking requirements, technical specifications, processes, and workflows.</li><li>Serve as a trusted analytical advisor and lead consultant for senior stakeholders, guiding prioritization, measurement decisions, and resource alignment.</li><li>Apply systems thinking to connect customer journeys, digital experiences, operational processes, source systems, and downstream reporting; identify dependencies, gaps, and creative approaches to answer business questions with evidence.</li><li>Extract, transform and load data into database as required utilizing the most appropriate tool.</li><li>Assess, produce and/or develop complex relevant, standard, or custom information (reports, dashboards, interactive reporting, charts, graphs and tables) from various data sources by querying data and generating the associated output. Distribute and disseminate analytical deliverables to applicable agencies, researchers, management and other customers.</li><li>Lead end-to-end data quality assurance, including tracking validation, instrumentation QA, reconciliation, metric testing, anomaly detection, and documentation of known limitations before results reach leadership.</li><li>Document project/work assignments to include all needed technical documentation such as source to target mappings, data sources, definitions, methodologies, contact information, output requirements or other information to ensure continuity of process.</li><li>Interpret complex data and associated deliverables (reports, dashboards, interactive reporting, charts, graphs and tables) in plain business language for executive &amp; clinical staff. Effectively summarize information and create intuitive/digestible information by selecting visualizations that are fit for purpose.</li><li>Use advanced SQL to develop complex metrics, reusable analytical datasets, and exploratory data analyses that evaluate performance, explain drivers, test hypotheses, and surface opportunities across digital, customer, operational, and marketing use cases.</li><li>Connect the dots across disparate data and perspectives to identify trends, root causes, opportunities, and risks; develop fact-based recommendations that leaders can act on.</li><li>Provide technical mentorship and raise the team&apos;s analytical maturity through reusable methods, measurement standards, SQL practices, QA discipline, and clear storytelling. </li></ul>KEY SUCCESS FACTORS <ul><li>Bachelor&apos;s degree in Statistics, Operations Research, Physics, Computer Science,</li><li>Economics, Business, Clinical or other similar degree or equivalent experience required.</li><li>Master&apos;s degree preferred.</li><li>Strong analytical, systems-thinking, problem-solving, data manipulation, troubleshooting, and structured thinking skills, with the ability to decompose complex business problems into answerable analytical questions.</li><li>Advanced development skills in the use of enterprise analytical and Bl tools, such as Cognos,</li><li>Tableau, QIickView, Excel PowerPivot or SSRS.</li><li>Advanced SQL skills, and comfort using Python, pyspark, including the ability to query, join, model, validate, and analyze complex data in Snowflake; develop sophisticated metrics and exploratory analyses; and optimize queries for repeatable use.</li><li>Verbal and written communication skills.</li><li>Ability to design and influence the implementation of measurement systems, tracking plans, and data pipelines necessary to collect, maintain, validate, and analyze trustworthy digital and business data.</li><li>Ability to gather, integrate, and analyze data; define meaningful metrics; conduct exploratory analysis; and develop executive-ready reports and recommendations.</li><li>Ability to work independently, lead cross-functional teams with minimal supervision, and influence decisions across product, marketing, technology, data engineering, and business functions.</li><li>Knowledge of ETL &amp; Data Warehousing.</li><li>Ability to work with complex data of varying levels of quality and validity.</li><li>Ability to develop data analytics and BI applications in a clear and understandable manner</li><li>meeting user requirements.</li><li>Inquisitive, hypothesis-driven mindset with the ability to learn new business domains, data sources, tools, and processes quickly; ask incisive questions; identify creative analytical approaches; and improve efficiency and decision quality. </li></ul>

Analytics Developer III

Join us in pioneering breakthroughs in healthcare. For everyone. Everywhere. Sustainably. Our inspiring and caring environment forms a global community that celebrates diversity and individuality. We encourage you to step beyond your comfort zone, offering resources and flexibility to foster your professional and personal growth, all while valuing your unique contributions. Join our Core Lab Solutions (CLS) team as a Strategy and Business Process Analyst and partner closely with our Senior Manager of Strategy and Business Processes to help shape how we work and make decisions. This is a remote position with a preference for East Coast. In this highly visible role, you&#x2019;ll play a key part in advancing our analytical capabilities within Integrated Business Planning (IBP), empowering leaders with insights that drive smarter, faster, data&#x2011;driven decisions. As Siemens Healthineers navigates an increasingly complex global landscape, your work will directly support the evolution of an operating model built for efficiency, agility, and speed - helping IBP serve as a foundational enabler of our continued success. Key Responsibilities <ul><li>Developing dashboards and reporting capabilities to support the CLS Business line, including Integrated Business Planning (IBP) and the Project Management Office (PMO)</li><li>Providing regular reports and analyses on topics central to Integrated Business Planning (IBP)</li><li>Improving business processes by analyzing complex datasets, creating compelling visualizations to communicate insights effectively and translating into clear actionable recommendations</li><li>Support strategic projects with analytical support to drive data-driven decisions that improve business outcomes, requiring broad analyses crossing functional boundaries including supply chain, commercial, service, marketing, and finance</li><li>Driving data governance across IBP; ensuring a single set of numbers across all forums</li><li>Engaging cross-functionally to identify, collate, and integrate data sources that provide insights to drive business line strategy and enable scenario planning</li><li>Fulfilling ad-hoc requests in support of Integrated Business Planning, Strategic Projects, and other key business processes </li></ul>What Will Help You Succeed You will be successful in this role if you enjoy: <ul><li>Streamlining reporting and analytical processes to provide information in a timely manner</li><li>Leveraging an analytical skillset to evaluate processes and identify improvement opportunities</li><li>Conveying complex information clearly with data visualization and storytelling</li><li>Working with various stakeholders and process owners to collect requirements and build dashboards/reporting that support operations </li></ul>Required Qualifications <ul><li>Bachelor&#x2019;s degree in Data Analytics, Supply Chain, Engineering, Business, or related fields</li><li>3-5 years of experience working cross-functionally in data analysis, business intelligence or IBP/S&amp;OP environments</li><li>High proficiency in SQL, Excel (PowerQuery/PowerPivot) and data visualization tools (PowerBI)</li><li>Highly organized, with analytical problem-solving skills and attention to detail</li><li>Able to utilize operational and business acumen to frame problems and structure analyses</li><li>Strong listening, verbal, and written communication skills to effectively present ideas and recommendations to diverse audiences</li><li>Must be able to collaborate in a team environment and across functional boundaries</li><li>Must be able to work independently and be self-motivated</li><li>Willing to travel as necessary and appropriate, including internationally </li></ul>Preferred Qualifications <ul><li>Experience working in a regulated / FDA environment</li><li>Prior experience working in a large, matrixed organization</li><li>Familiarity with Python/R, databases (e.g. Snowflake), ERP systems (e.g. SAP), IBP Platforms (e.g. Kinaxis) preferred </li></ul>Who we are: We are a team of more than 72,000 highly dedicated Healthineers in more than 70 countries. As a leader in medical technology, we constantly push the boundaries to create better outcomes and experiences for patients, no matter where they live or what health issues they are facing. Our portfolio is crucial for clinical decision-making and treatment pathways. How we work: When you join Siemens Healthineers, you become one in a global team of scientists, clinicians, developers, researchers, professionals, and skilled specialists, who believe in each individual&#x2019;s potential to contribute with diverse ideas. We are from different backgrounds, cultures, religions, political and/or sexual orientations, and work together, to fight the world&#x2019;s most threatening diseases and enable access to care, united by one purpose: to pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainably. To find out more about Siemens Healthineers businesses, please visit our company page here. The Base Pay Range For This Position Is $89,220 - $122,683 Factors which may affect starting pay within this range may include geography/market, skills, education, experience, and other qualifications of the successful candidate. If this is a commission eligible position the commission eligibility will be in accordance with the terms of the Company&apos;s plan. Commissions are based on individual performance and/or company performance. The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan. life insurance, long-term and short-term disability insurance, paid parking/public transportation, paid time off, paid sick and safe time. Equal Employment Opportunity Statement: Siemens Healthineers is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law. EEO is the Law: Applicants and employees are protected under Federal law from discrimination. To learn more, click here. Reasonable Accommodations: Siemens Healthineers is committed to equal employment opportunity. As part of this commitment, we will ensure that persons with disabilities are provided reasonable accommodations. If you require a reasonable accommodation in completing a job application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please fill out the accommodations form here. If you&#x2019;re unable to complete the form, you can reach out to our HR People Connect People Contact Center for support at peopleconnectvendorsnam.func@siemens-healthineers.com. Please note HR People Connect People Contact Center will not have visibility of your application or interview status. California Privacy Notice: California residents have the right to receive additional notices about their personal information. To learn more, click here. Export Control: &#x201C;A successful candidate must be able to work with controlled technology in accordance with US export control law.&#x201D; &#x201C;It is Siemens Healthineers&#x2019; policy to comply fully and completely with all United States export control laws and regulations, including those implemented by the Department of Commerce through the Export Administration Regulations (EAR), by the Department of State through the International Traffic in Arms Regulations (ITAR), and by the Treasury Department through the Office of Foreign Assets Control (OFAC) sanctions regulations.&#x201D; Data Privacy: We care about your data privacy and take compliance with GDPR as well as other data protection legislation seriously. For this reason, we ask you not to send us your CV or resume by email. We ask instead that you create a profile in our talent community where you can upload your CV. Setting up a profile lets us know you are interested in career opportunities with us and makes it easy for us to send you an alert when relevant positions become open. Register here to get started. Beware of Job Scams: Please beware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as Siemens Healthineers recruiters/employees. These scammers may attempt to collect your confidential personal or financial information. If you are concerned that an offer of employment with Siemens Healthineers might be a scam or that the recruiter is not legitimate, please verify by searching for the posting on the Siemens Healthineers career site. To all recruitment agencies: Siemens Healthineers does not accept agency resumes. Please do not forward resumes to our jobs alias, employees, or any other company location. Siemens Healthineers is not responsible for any fees related to unsolicited resumes.

Strategy and Business Process Analyst (Remote)

About Docker Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world&apos;s largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ Docker is looking for a Senior Marketing GTM Analytics Marketing to serve as the strategic analytics partner to Marketing and its cross functional partners. This manager level individual contributor will connect customer, campaign, product usage, and revenue data to help leaders improve conversion, prioritize investments, and accelerate pipeline growth. Responsibilities <ul><li>Serve as the strategic analytics partner to Marketing, translating ambiguous questions into clear analyses, recommendations, and measurable actions.</li><li>Own lead and account funnel analytics, including conversion, velocity, quality, cohort performance, and the drivers of strong or weak outcomes.</li><li>Define trusted attribution and return on investment methodologies for marketing programs, including marketing development funds, co marketing, and marketing funded SPIFFs.</li><li>Develop the targeting and measurement model for an inside sales motion into product led growth prospects.</li><li>Build account intelligence and scoring to support account based marketing, expansion, and new product adoption.</li><li>Lead the analytical narrative for Marketing QBRs, operating reviews, and planning, connecting activity to pipeline and revenue.</li><li>Design experiments and measurement plans that identify which programs and growth motions should scale, change, or stop.</li><li>Build scalable datasets, dashboards, and quality controls in partnership with Marketing Operations, Sales Operations, Finance, and Data teams. </li></ul>Qualifications <ul><li>7 or more years of experience in marketing, growth, revenue, or GTM analytics, ideally in B2B SaaS.</li><li>Advanced SQL skills and experience with customer, campaign, product usage, CRM, and cloud warehouse data.</li><li>Strong knowledge of demand generation, funnel measurement, attribution, experimentation, account based marketing, and pipeline economics.</li><li>Ability to independently structure complex problems and deliver defensible, decision ready recommendations.</li><li>Experience building scalable dashboards and data products. Salesforce experience is strongly preferred.</li><li> Excellent executive communication, high standards for accuracy, and the ability to influence senior stakeholders without direct authority.</li><li>Comfort operating as a strategic, hands on individual contributor. </li></ul>What to Expect First 30 Days &#x2014; Learn and Assess <ul><li>Ramp on Salesforce, Snowflake, Sigma, and existing marketing reporting</li><li>Understand marketing programs, funnel definitions, attribution methodology, and end of quarter reporting processes</li><li>Build relationships with Marketing, Field Marketing, RevOps, Finance, and Data partners</li><li>Identify gaps in reporting coverage, data quality, and decision support</li><li>Support recurring and ad hoc analysis to build business context </li></ul>First 60 Days &#x2014; Own and Improve <ul><li>Take ownership of core marketing reporting and end of quarter deliverables</li><li>Improve existing dashboards and reporting for accuracy, usability, and actionability</li><li>Establish a consistent support model and feedback loop with Field Marketing</li><li>Begin analysis of funnel conversion, campaign performance, and pipeline contribution</li><li>Align core marketing metrics and definitions across Marketing, RevOps, and Finance </li></ul>First 90 Days &#x2014; Deliver Insights and Impact <ul><li>Independently deliver accurate, executive ready marketing reporting for QBRs and other business reviews</li><li>Provide actionable insights into funnel performance, pipeline creation, and marketing investment effectiveness</li><li>Deliver an initial priority analysis, such as Field Marketing ROI, ABM targeting, or PLG and ISR opportunity identification</li><li>Recommend improvements to marketing measurement, attribution, and investment decisions</li><li>Reduce recurring ad hoc requests through scalable dashboards and self service reporting </li></ul>Docker does not offer visa sponsorship for this role. Compensation &amp; Equity Canada: CA$165,900 &#x2013; CA$237,000 + equity United States: $119,700 &#x2013; $181,000 + equity ______________________________________________________________________ Posting Information <ul><li>Open vacancy: This posting is for an existing open role.</li><li>AI in hiring: Docker may use AI-assisted tools during our recruiting process.</li><li>Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. </li></ul>______________________________________________________________________ Perks &amp; Benefits <ul><li>Remote-first by design &#x2013; Work from your home, with offices in Seattle and Paris for connection and collaboration.</li><li>Flexibility that fits your life &#x2013; We trust you to manage your schedule while delivering great work.</li><li>Time to recharge &#x2013; Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.</li><li>Home office support &#x2013; Set up your workspace for comfort and success.</li><li>Technology stipend &#x2013; Equivalent to US$100 net per month to help support your work.</li><li>Learning &amp; development &#x2013; Annual stipend for conferences, courses, certifications, and continued learning.</li><li>Parental leave &#x2013; 16 weeks of paid parental leave after six months of employment.</li><li>Equity for all full-time employees &#x2013; Share in Docker&apos;s long-term success as we continue to grow.</li><li>Comprehensive benefits &#x2013; Medical, retirement, and paid holidays vary by country.</li><li>Docker swag &#x2013; Because representing the whale never gets old. </li></ul>Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.

Senior Marketing GTM Analytics Manager

The Senior Assortment Analyst owns the analytical framework behind assortment planning, productivity measurement, and new item performance. This role sets the SKU-level methodology the business plans against and delivers the recommendations that shape what we carry, how deep we buy, and when we exit. Working within the Merchandise Planning &amp; Analytics organization, the Senior Analyst designs and owns assortment productivity reporting, leads rationalization analysis end to end, and owns the analytical model behind new product introduction forecasting and post-launch scorecarding. The role also sets analytical standards for the team and provides technical guidance to less experienced analysts. This is a senior individual contributor role with direct influence over assortment decisions, regular exposure to Merchant and Planning leadership, and a clear path toward Manager-level roles in merchandise planning or analytics. Key Responsibilities Assortment Analytics <ul><li>Own assortment productivity reporting: design, own, and continuously improve SKU and category-level reporting covering velocity, sell-through, margin contribution, and inventory productivity; establish the definitions and data lineage the organization plans against</li><li>Lead rationalization analysis: own the analytical case for tail SKU exit, consolidation, and transition; quantify the sales, margin, and productivity impact and present recommendations directly to Merchant and Planning leadership</li><li>Own depth and breadth methodology: build and maintain the models that determine how deeply the business invests in individual items and programs, including price point coverage and good-better-best architecture</li><li>Size the whitespace opportunity: lead market, consumer, and competitive analysis that identifies assortment gaps, quantifies the opportunity, and informs line review strategy</li><li>Set analytical standards: define the methodology, assumptions, and QA standards used across assortment analytics, and review the work of junior analysts for accuracy and rigor </li></ul>New Item &amp; Program Performance <ul><li>Own launch scorecards: build and own pre- and post-launch performance scorecards; diagnose forecast variance and translate the findings into forward-looking assumptions</li><li>Own transition analytics: lead item transition and end-of-life analysis to ensure clean exits, protected margin, and minimal residual inventory exposure</li><li>Improve forecast accuracy: partner with Demand Planning to refine new item forecast methodology using post-launch performance and read-and-react learning </li></ul>Reporting &amp; Partnership <ul><li>Deliver executive-ready analytics: produce assortment reporting on an established cadence and translate it into a clear point of view for senior leadership, not just a set of numbers</li><li>Advise Merchants and Planners: act as the analytical partner of record for assigned categories, shaping the question as often as answering it and challenging assumptions where the data warrants</li><li>Lead complex ad hoc analysis: scope, structure, and deliver the ambiguous, high-stakes analysis behind in-season decisions and line review preparation</li><li>Build scalable tooling: automate recurring analysis and move the team toward self-service reporting so analytical capacity shifts from production to interpretation </li></ul>Success Metrics In the first 12 months, the Senior Analyst, Assortment Planning will be evaluated on: <ul><li>Analytical Ownership: Assortment productivity reporting owned end to end, delivered accurately and on cadence, and adopted as the standing input to line reviews</li><li>Rationalization Impact: Rationalization analysis led through at least one full cycle, with quantified and realized productivity improvement</li><li>Influence: Recognized by Merchant and Planning leadership as a trusted advisor whose analysis changes decisions</li><li>Capability Building: Demonstrable improvement in the automation and consistency of assortment reporting, and evidence of developing junior analysts </li></ul>Who We Are At Bob&#x2019;s, we have fun, we love what we do, and it shows in our expansive growth! Bob&#x2019;s Discount Furniture is more than just a furniture store. We are one of the fastest growing omni-channel furniture retailers in the country. How We Will Support You At Bob&#x2019;s we understand there are many companies you can choose to work for, so, along with exceptional opportunities for career growth we offer a fun team-oriented work environment and great benefits! Let us tell you more. Benefits &amp; Perks- We&#x2019;ve got you covered! We believe in supporting our employees and their families in the best ways possible is a top priority. We focus on three core wellness pillars: Emotional, Physical and Financial. Below are just some of the benefits that we offer: <ul><li>Feeling under the weather, we&#x2019;ve got you covered! We offer Nationally provided Medical, Dental and Vision Insurance</li><li>Paid Vacation, Personal Days, Sick Days, Holidays, work anniversary and your Birthday! After all, your birthday should be a holiday</li><li>401(k) Profit Sharing Plan with a Generous Company match!</li><li>Pet Insurance to help keep your furry friends happy and healthy</li><li>Life insurance &#x2013; Employer-paid basic Life Insurance, with the option to add Voluntary Life Insurance as well!</li><li>Financial Planning, Voluntary Legal Benefits and Wellness Plans</li><li>We already offer value priced furniture, but on top of that we offer a Generous Employee Discount starting on your 1st day!</li><li>Additional Employee Discounts through the &#x201C;Hays Perks discount program&#x201D; offering hundreds of online discounts from your favorite merchants.</li><li>And so much more! </li></ul>Culture and Core Values- At Bob&apos;s we have a set of core values that shape the decisions we make every day and help define our company culture. These values comprise what we call &quot;The Bob&apos;s Way.&quot; Honesty, Integrity, Transparency, Community, Safety, Diversity, Accountability and Fun. DIVERSITY IS A CORE VALUE AT BOB&#x2019;S At Bob&#x2019;s Discount Furniture, we want you to feel at home. Whether you&#x2019;re shopping with us or a part of the Bob&#x2019;s team, we want you to know that you are valued, appreciated, and free to be who you are. We are committed to creating a place as diverse as the communities we serve. Learn and Grow- We believe in developing our team members and helping them grow both personally and professionally! We promote Professional Development: In-person, virtually and offer an infinite library of on-demand classes in Workday Learning. We also offer Tuition Reimbursement as well as the BDF Education Foundation Scholarship Program open to employees and their dependents. Want to grow at Bob&#x2019;s professionally? We look to promote from within our organization by having robust succession planning in place to ensure that our team members have the opportunity to advance their careers. Qualifications Required: <ul><li>Bachelor&apos;s degree in Business, Finance, Economics, Analytics, Statistics, or a related field</li><li>4&#x2013;7 years of analytical experience, with demonstrated depth in retail merchandising, planning, or analytics</li><li>Advanced Excel skills, including multi-variable modeling, large dataset handling, and building tools other people rely on</li><li>Proficiency in SQL, including the ability to independently source, join, and validate data across systems</li><li>Demonstrated ability to work independently in ambiguous situations and structure analysis without direction</li><li>Strong communication and storytelling skills, with experience presenting analysis and recommendations to senior leadership</li><li>Experience mentoring analysts or reviewing analytical work for quality </li></ul>Preferred <ul><li>Proficiency in Power BI, Tableau, or comparable visualization tools, including dashboard design</li><li>Furniture, home, or big-ticket retail experience</li><li>Hands-on experience with assortment planning or demand planning systems (e.g., Logility, o9, Blue Yonder)</li><li>Exposure to Python, R, or comparable tooling for advanced analysis </li></ul>Expected Base Pay Not Including Potential Commissions, Incentive, Bonus, etc. Opportunities: $80,000 - $100,000 It is policy of Bob&#x2019;s Discount Furniture, Inc., to provide equal employment opportunity to all employees and applicants for employment. No person shall be discriminated against or harassed because of race, religion, color, sex, age, national origin, disability, pregnancy, citizenship, veteran or military status, or any other protected status in accordance with federal, state or local law. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact talentacquistionteam@mybobs.com. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications.

Senior Analyst, Assortment

About Our Client:Signet Jewelers operates as a leading retailer in the diamond jewelry industry, managing over 2,800 stores globally under multiple well-known brands. The organization addresses challenges in retail jewelry sourcing and sales, focusing on delivering value through diverse brand offerings and a strong commitment to inclusivity and community engagement. About the Opportunity:The SENIOR DATA ANALYST, FINANCE role supports financial planning, analysis, and reporting specifically related to inventory accounting, cost of goods sold, and financial performance within the diamond sourcing division. This position is key to providing accurate financial insights, enhancing visibility into operational metrics, and aiding decision-making processes to optimize inventory management and financial outcomes. Responsibilities:<ul><li>Analyze and report key financial metrics including inventory balances, reserves, gross margin, and COGS</li><li>Prepare and deliver periodic financial reports to management</li><li>Assist with month-end close activities including journal entries and reconciliations</li><li>Support forecasting, budgeting, and variance analyses</li><li>Develop and maintain financial dashboards and KPIs</li><li>Collaborate to maintain accurate physical inventory and resolve discrepancies</li><li>Analyze inventory transactions and support reporting accuracy</li><li>Partner with teams to improve inventory turnover and reduce inefficiencies</li><li>Manage pricing and costing data infrastructure, integrating multiple data sources</li><li>Develop SQL queries and data pipelines for consolidated reporting</li><li>Build analytical models to enhance automation and reporting reliability</li><li>Identify and implement process improvements in financial workflows</li><li>Support audit processes and SOX compliance</li><li>Work with IT and ERP teams to optimize reporting systems</li><li>Collaborate cross-functionally to provide financial insights</li></ul> Requirements:<ul><li>Bachelor&#x2019;s degree in Finance, Accounting, Business, or Economics</li><li>3-5 years of financial analysis and accounting experience, preferably in inventory or COGS</li><li>Knowledge of US GAAP focused on inventory and COGS accounting</li><li>Experience with ERP systems, preferably SAP, and financial reporting tools</li><li>Advanced analytical and Excel skills</li><li>Experience with data visualization tools such as Tableau, Alteryx, or Power BI</li><li>Strong communication skills for presenting to senior stakeholders</li><li>Attention to detail and accuracy</li><li>Ability to collaborate across departments</li><li>Comfortable working in a dynamic, fast-paced environment</li></ul> Pay Range and Compensation Package:<ul><li>The pay range and compensation package for this role will be determined based on the candidate&apos;s experience, skills, and other relevant factors.</li></ul> Benefits &amp; Perks:<ul><li>Comprehensive healthcare, dental, and vision insurance effective from day one</li><li>Generous 401(k) matching after one year</li><li>Paid time off and holidays</li><li>Employee discounts on merchandise</li><li>Learning and development programs</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:RemoteHunter 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.

Sr. Data Analyst, Finance (REMOTE)

At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world. Job Overview The Aerospace Defense and Marine (AD&amp;M) business of TE Connectivity is a global leader in the development and engineering of a comprehensive portfolio of contactors, relays, sensors, fiber optics, wires, cables, antennas, circuit protection products, and interconnect solutions for harsh environments. With a global customer base and more than 7,000 employees worldwide, AD&amp;M delivers innovative solutions that connect and protect critical applications across aerospace, defense, and marine markets. As part of the AD&amp;M Commercial Excellence organization, you will join a team of professionals committed to driving growth, enabling data-driven decision making, and accelerating digital transformation across the business. The AD&amp;M Commercial Excellence team has an opportunity for a Sales Operations Analyst IV to support the organization&apos;s analytics modernization, Power BI reporting, AI enablement, and data governance initiatives. This role will help drive the transition to OneData, Power BI, and AI-enabled business insights while supporting commercial leaders with actionable analytics and reporting solutions. The successful candidate will be a detail-oriented, analytical, and collaborative individual, who is comfortable working across business functions and translating complex data into practical insights in a fast-paced, dynamic environment. Please note: This position may involve working with technical data, technology, software/source code, hardware, or other items (collectively &#x201C;items) subject to U.S. and non-U.S. export control laws and regulations. Under these regulations, it may be necessary for TE to verify a candidate&#x2019;s national origin and/or citizenship status to determine whether a U.S. or other government export license is required prior to releasing its technologies to the candidate. If TE determines that TE will require a license or will be prohibited by applicable laws from providing the candidate with items necessary for the performance of this position, then TE expressly reserves the right to either a) make an offer of employment contingent upon TE receiving required export licenses from the appropriate government agency, b) consider the candidate for a different position that is not subject to such restrictions, on whatever terms and conditions TE shall establish in its sole discretion, or c) decline to move forward with the candidate&#x2019;s application. Responsibilities &amp; Qualifications Develop, maintain, and enhance Power BI dashboards, reports, and scorecards to support commercial and business performance tracking. Analyze commercial performance data to identify trends, drivers, exceptions, and opportunities, and communicate actionable insights to business stakeholders. Support data validation, testing, and user acceptance testing (UAT) activities to ensure reporting accuracy, data integrity, and business readiness. Support AI-enabled reporting and analytics initiatives, including automated insights, dashboard summaries, self-service analytics, and approved enterprise AI capabilities. Partner with Sales, Finance, Product Management, Customer Care, Supply Chain, and Information Systems teams to gather requirements, define business and reporting needs, and translate them into scalable analytical solutions. Investigate and help resolve data quality issues while supporting KPI governance and reporting standards. Develop reporting documentation, user guides, and training materials that support adoption of analytics tools and solutions. Identify opportunities to improve reporting efficiency, automate manual processes, and enhance data-driven decision making. Qualifications What your background should look like: Bachelor&apos;s degree in Business, Finance, Data Analytics, Information Systems, Engineering, Computer Science, or a related field preferred or equivlent experience; Master&apos;s degree preferred. 6+ years of experience in business analytics, sales operations, business intelligence, finance, reporting, or a related analytical role. Experience creating and maintaining Power BI dashboards and reports. Advanced Microsoft Excel skills, including reporting, data manipulation, and analysis. Strong analytical and problem-solving skills with the ability to translate data into actionable business insights. Experience working with large datasets and multiple business data sources. Ability to manage multiple priorities and work effectively in a collaborative, cross-functional environment. Ability to communicate analytical findings and business insights clearly to both technical and non-technical stakeholders. Working knowledge of data modeling concepts, including data relationships, granularity, measures, and dimensional reporting structures, is preferred. Experience with SQL, Power Query, DAX, Salesforce, Databricks, or similar enterprise data platforms is preferred. Exposure to AI-enabled analytics tools, including Microsoft Copilot or similar technologies, is preferred. Experience supporting reporting modernization, automation, or migration initiatives is preferred. Competencies <ul><li>Power BI</li><li>Microsoft Excel</li><li>Power Query</li><li>Data Validation</li><li>DAX (preferred)</li><li>SQL (preferred)</li><li>OneData (preferred)</li><li>Databricks (preferred)</li><li>Microsoft Copilot and AI-enabled tools (preferred)</li><li>Data Modeling (preferred) </li></ul>Competencies Values: Integrity, Accountability, Inclusion, Innovation, Teamwork About Te Connectivity TE Connectivity plc (NYSE: TEL) is a global industrial technology leader creating a safer, sustainable, productive, and connected future. As a trusted innovation partner, our broad range of connectivity and sensor solutions enable the distribution of power, signal and data to advance next-generation transportation, energy networks, automated factories, data centers enabling artificial intelligence, and more. Our more than 90,000 employees, including 10,000 engineers, work alongside customers in approximately 130 countries. In a world that is racing ahead, TE ensures that EVERY CONNECTION COUNTS. Learn more at www.te.com and on LinkedIn, Facebook, WeChat, Instagram and X (formerly Twitter). Compensation <ul><li> Competitive base salary commensurate with experience: $113,000 - $141,300 (subject to change dependent on physical location)</li><li> Posted salary ranges are made in good faith. TE Connectivity reserves the right to adjust ranges depending on the experience/qualification of the selected candidate as well as internal and external equity.</li><li> Total Compensation = Base Salary + Incentive(s) + Benefits </li></ul>Benefits <ul><li> A comprehensive benefits package including health insurance, 401(k), disability, life insurance, employee stock purchase plan, paid time off and voluntary benefits. </li></ul>EOE, Including Disability/Vets IMPORTANT NOTICE REGARDING RECRUITMENT FRAUD TE Connectivity has become aware of fraudulent recruitment activities being conducted by individuals or organizations falsely claiming to represent TE Connectivity. Please be advised that TE Connectivity never requests payment or fees from job applicants at any stage of the recruitment process. All legitimate job openings are posted exclusively on our official careers website at te.com/careers, and all email communications from our recruitment team will come only from actual email addresses ending in @te.com. If you receive any suspicious communications, we strongly advise you not to engage or provide any personal information, and to report the incident to your local authorities.

Sales Operations Analyst IV - Remote

At Allstate, great things happen when our people work together to protect families and their belongings from life&#x2019;s uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers&#x2019; evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection. Job Description The Data Analytics Engineer will help the Risk Data Team create a trusted, connected, and insight-driven risk ecosystem where high-quality data enables faster decisions, proactive risk management, and measurable improvements in control effectiveness. This hands-on role transforms fragmented risk, control, regulatory, and operational data into reliable, accessible, and actionable information through analytics, reporting, automation, governed datasets, and reusable data products. The role partners with risk, control, product, engineering, and leadership stakeholders to improve confidence in risk data, reduce manual reporting, and surface insights that help the organization understand trends, identify weaknesses, and prioritize action. Key Responsibilities <ul><li>Lead complex risk data analytics initiatives from requirements through delivery, validation, implementation, and operational support.</li><li>Partner with risk, control, regulatory, product, engineering, and leadership stakeholders to translate business questions into clear data, analytics, and reporting requirements.</li><li>Build and maintain trusted risk datasets, semantic models, dashboards, reports, and reusable analytics products using SQL, Power BI, Microsoft Fabric, Python, and advanced Excel.</li><li>Integrate and analyze information from internal platforms, vendor tools, external sources, and operational systems to create a connected view of risk and control performance.</li><li>Automate data collection, preparation, validation, reconciliation, refreshes, and recurring reporting processes to reduce reliance on spreadsheets and manual effort.</li><li>Define, document, and apply common risk metrics, data definitions, business rules, and quality standards so reporting is consistent, traceable, and trusted.</li><li>Produce analytics that identify trends, control weaknesses, emerging risks, performance gaps, and opportunities to prioritize risk action.</li><li>Support governed, analytics-ready data products that can safely enable leadership reporting, operational insight, automation, and future AI-based capabilities.</li><li>Establish best practices for data sourcing, transformation, quality, documentation, governance, access, and reporting adoption.</li><li>Coach analysts and enable stakeholders through technical consultation, reusable templates, training, and practical guidance on using trusted risk data. </li></ul>Experience: <ul><li>3 or more years of relevant experience in data analytics, business intelligence, risk analytics, data governance, operational reporting, or a related field.</li><li>Experience delivering analytics, reporting, or data product solutions from requirements through implementation and ongoing improvement.</li><li>Experience working with risk, compliance, controls, audit, cybersecurity, technology operations, insurance, or other complex business data is preferred.</li><li>Experience improving data quality, reconciling data sources, defining metrics, documenting business rules, or reducing manual reporting processes is preferred. </li></ul>Supervisory Responsibilities: <ul><li>This job does not have supervisory duties. </li></ul>Skills Business Analysis, Business Case Analyses, Business Model Development, Cyber Security, Data Analysis, Data Analytics, Data Governance, Data Quality, Risk Control Compensation Compensation offered for this role is 98,100.00 - 167,850.00 annually and is based on experience and qualifications. The candidate(s) offered this position will be required to submit to a background investigation. Joining our team isn&#x2019;t just a job &#x2014; it&#x2019;s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger &#x2013; a winning team making a meaningful impact. Allstate generally does not sponsor individuals for employment-based visas for this position. Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component. For jobs in San Francisco, please click &#x201C;here&#x201D; for information regarding the San Francisco Fair Chance Ordinance. For jobs in Los Angeles, please click &#x201C;here&#x201D; for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance. To view the &#x201C;EEO Know Your Rights&#x201D; poster click &#x201C;here&#x201D;. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs. To view the FMLA poster, click &#x201C;here&#x201D;. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint. It is the Company&#x2019;s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee&#x2019;s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee&apos;s terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment. Allstate provides a comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse. Employees eligible to work from home also receive a monthly connectivity reimbursement to help offset internet costs. When working from home, you must have a dedicated, private workspace free from distractions, along with appropriate desk and seating. Reliable internet is required, with minimum speeds of 50 MB download and 5 MB upload. To help create a more personal and engaging experience, we ask that you join with your camera on if your interview is virtual. Please also have a Valid Photo Identification available at the start of your interview. If you require any accommodations or have questions ahead of your interview please reach out to your recruiter. Note: Internal candidates are only asked to join on video; a Valid Photo Identification is not needed for the interview.

Data Analytics Engineer (Remote, US)

SENIOR DATA SCIENTIST
------------------------
<h3><a href="https://jobicy.com/company/peerspace" target="_blank" rel="noopener">Peerspace</a> is the leading and category defining online marketplace for venue rentals for meetings, productions, and events. We open doors to the most inspiring spaces around the world, from lofts and mansions to storefronts and studios. Over $500M has been transacted through the platform, and our investors include GV (Google Ventures) and Foundation Capital.</h3>
<h3> </h3>
<h3>Our people are the heart of Peerspace. We are a team that values inclusion and working cross functionally. Our strategy and objectives are clear and we support one another to exceed expectations. We believe that a healthy company culture creates an environment where people are excited to come into work everyday and contribute to building a successful organization. </h3>

The Role

We are looking for a senior data scientist to partner with our PED (Product, Engineering, Design) teams and our diverse business units to help them understand our users, our product performance and our marketplace as a whole. This role sits on our Analytics team and will report directly to the Head of Analytics.

The ideal candidate:
<ul>
<li>
Has a strong interest in using data to understand and address business and user problems
</li>
<li>
Can manage a diverse set of stakeholders and drive cross-functional alignment on analytical priorities
</li>
<li>
Is curious about how users engage with a product, and what this might mean for what the business should build or prioritize next
</li>
<li>
Is self motivated and can unblock themselves when the perfect dataset isn’t readily available or the business question isn’t clearly articulated
</li>
<li>
Dives deeply into ambiguous questions, and refines them into clear problem statements that address what the business really cares about or what really matters to our users 
</li>
</ul>
Responsibilities:

<ul>
<li>
Work closely with PED to set goals, understand how users are engaging with our product, and learn from experiments in our two-sided marketplace
</li>
<li>
Develop measurement frameworks and institute new metrics or reporting systems to help us understand our marketplace and users
</li>
<li>
Align cross-functional stakeholders on the priorities and analytical roadmap for critical areas of our business
</li>
<li>
Design and analyze experiments
</li>
<li>
Dive deep on user behavior and the dynamics of our marketplace
</li>
<li>
Unpack business trends and diagnose drivers of business performance
</li>
<li>
Collaborate with the rest of the Analytics and Data Engineering teams and the broader data community to grow and nurture data culture at Peerspace
</li>
</ul>
Technical Environment:

- Databases: Google BigQuery
- Tooling: dbt Cloud, Airflow, Git
- BI Tool: Tableau, Statsig (for A/B testing)
- Languages: SQL, Python
 Qualifications:
<ul>
<li>
5+ years of experience in data science, product analytics, or similar functions
</li>
<li>
Strong SQL skills and comfort working with large datasets
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Experience building visualizations with Tableau, Looker or similar BI platforms
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Proficient in communicating insights to business partners
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Ability to manage cross-functional stakeholders and prioritize an analytics roadmap in a dynamic environment with competing priorities
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Experience applying statistics and experiment design in a business context
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Experience in at least one data-oriented language like Python, R or Julia
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<li>
Bachelor's degree in a quantitative or technical field (e.g., Statistics, Economics, Math, Computer Science, Engineering)
</li>
</ul>
Preferred Qualifications:

<ul>
<li>
Experience with another two-sided marketplace
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<li>
Experience applying causal inference, predictive modeling or other advanced statistical methods in a business context
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</ul>
Working At Peerspace

The annual salary range for this role is $165,000 to $175,000. The actual salary amount will vary depending on the applicant’s experience, skills, and abilities as well as internal equity and market data.

Peerspace is proudly certified as a Great Place to Work™ and we're a remote first company with team members located in cities around the globe. Beyond competitive salary and equity compensation, we provide a range of benefits and perks, including:

● 100% employee coverage of medical, dental and vision insurance
● Discount on all Peerspace bookings
● Laptop, high res display, and stipend to setup home office
● Monthly cell phone and internet credit
● Annual In person all company offsite and team-building events (in Peerspace locations, of course)
● Wellness Days observed company wide

Diversity

At Peerspace, we're dedicated to creating a team that's diverse, equitable and inclusive. Our workplace is a space where all team members are empowered to blaze their own trail, make things happen, and take pride in their work. We believe bringing people together from different backgrounds and identities makes us stronger and better serves the Peerspace community. We'd especially like to encourage applicants from different backgrounds, locations, and experiences.

At Peerspace, we are committed to maintaining a secure and transparent hiring experience. Please be aware that scammers sometimes impersonate companies like ours by posting fake job listings or reaching out to job seekers in misleading ways. All legitimate communication from Peerspace will come from an official @peerspace.com email address. We do not contact candidates through personal email accounts, third-party messaging apps such as WhatsApp or Microsoft Teams, or through the Peerspace platform's internal messaging system. All interviews are conducted only by phone or Zoom, and we will never ask for sensitive personal or financial information such as your Social Security number or bank details during the early stages of the hiring process. If you receive any message that seems suspicious or does not align with these practices, please contact us immediately at help@peerspace.com so we can investigate. We only post our job openings and process applications, through our official careers page at<a href="https://jobs.lever.co/peerspace" rel="nofollow ugc noopener" target="_blank"> https://jobs.lever.co/peerspace</a>.
<h3>Compensation</h3>
<h3>Additional Information</h3>

<div>ABOUT YOU</div><div>We are looking for a Senior Data Analyst who is analytically rigorous, strategically minded, and a collaborative problem-solver to join our Advertising &amp; Rewards division. The Senior Data Analyst will collaborate with Operations, Product, Engineering, and Business Stakeholders by using data-driven insights to inform the design and optimization of <a href="https://himalayas.app/companies/xsolla">Xsolla</a>’s B2C apps/websites. Additionally, they’ll lead the design and execution of multivariate AB tests, analytics schema and dashboards/reports, generating recommendations that influence our roadmap and drive product and business performance. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to drive data-informed product decisions that shape how we reward and engage players at scale.</div><div>Strong analytical and statistical skills are essential, along with experience in quantitative analysis within games or other consumer-facing apps. The ability to translate complex datasets into clear, actionable recommendations for cross-functional stakeholders will be key to your success in this role. If you're passionate about uncovering insights that drive meaningful product outcomes and love building data infrastructure and experimentation frameworks that help game developers grow their businesses and delight their players, we would love to hear from you!</div><div>ABOUT US</div><div>
<a href="https://himalayas.app/companies/xsolla">Xsolla</a> is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with <a href="https://himalayas.app/companies/xsolla">Xsolla</a> to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, <a href="https://himalayas.app/companies/xsolla">Xsolla</a> is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, <a href="https://himalayas.app/companies/xsolla">Xsolla</a> operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.</div><div>For more information, visit .</div><h3>Responsibilities</h3><ul>
<li>Own data analysis for <a href="https://himalayas.app/companies/xsolla">Xsolla</a>'s new B2C apps and websites, generating insights that optimize how we reward and engage users.</li>
<li>Conduct descriptive, diagnostic, and prescriptive analysis — including product funnel mapping, user cohort analysis, and behavioral data modeling — to improve user experience and drive growth and engagement.</li>
<li>Define KPIs for the product and build automated dashboards, reports, and models that enable smarter, faster decision-making across the business.</li>
<li>Design, orchestrate, and analyze multivariate product experiments to drive growth, improve existing features, and test new areas of opportunity.</li>
<li>Apply advanced analytics techniques — including machine learning — to uncover player insights, forecast economic trends, and support monetization strategies, while ensuring outputs remain interpretable and actionable for stakeholders.</li>
<li>Collaborate with data, product, engineering, and business stakeholders to build business cases and forecasts for new feature development.</li>
</ul><h3>Qualifications &amp; Skills - Required</h3><ul>
<li>BA/BS in Mathematics, Statistics, Economics, or another quantitative field.5+ years of experience in quantitative analysis, preferably within games or other consumer-facing apps.</li>
<li>Fluency in SQL with demonstrated ability to work with highly dimensional and complex datasets.</li>
<li>Strong proficiency with Statsig or comparable A/B testing platforms.</li>
<li>Strong proficiency with Looker, Tableau, or other BI/data visualization tools.</li>
<li>Strong proficiency with Mixpanel, Amplitude, or other product analytics platforms.</li>
<li>Comfortable operating in a fast-paced, high-growth, startup-like environment.</li>
</ul><h3>Nice to Have</h3><ul>
<li>Experience with machine learning or predictive modeling in a product context.</li>
<li>Background in advertising, offerwall, or performance marketing analytics.</li>
<li>Familiarity with user acquisition and monetization metrics in mobile or free-to-play games.</li>
</ul><div>Benefits</div><div>We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical, dental, and vision plans, unlimited Flexible Time Off, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we're not just building a business; we're cultivating a community that values creativity, collaboration, and the transformative power of play.</div><div>Equal Employment Opportunity Statement</div><div>
<a href="https://himalayas.app/companies/xsolla">Xsolla</a> is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.</div><div>Criminal History Consideration</div><div>For the Marketing Coordinator – <a href="https://himalayas.app/companies/xsolla">Xsolla</a> Ads, we will conduct a background check that may include the following:Criminal history checkEmployment verificationEducation verificationCredit history checkProfessional license verification</div><div>
Relevance to Job Responsibilities: The background check is relevant to this position due to the following role responsibilities:</div><div>Accessing confidential company data</div><div>Rights Under the Fair Chance Act</div><div>Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact submitting the following job application form, you consent to <a href="https://himalayas.app/companies/xsolla">Xsolla</a> processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with this <a href="https://himalayas.app/companies/xsolla">Xsolla</a> Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to .</div><div>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</div>Originally posted on <a href="https://himalayas.app">Himalayas</a>

Senior Data Analyst - Xsolla Ads & Rewards

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<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>
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</div></div><h3>About the Role</h3>
Reddit’s Ads Creative Effectiveness team sits at the heart of our creative strategy, building GenAI and predictive products that help advertisers ship high-impact campaigns. We are searching for a Staff engineer with in-depth GenAI expertise that can help us build the future of generative products for ad creative at Reddit - best-in-class image, video and copy generators that leverage Reddit’s best practices, performance-guided generations that maximize clicks and conversions, and brand safe, product preserving image/video editing pipelines.
What you’ll do:
<ul>
<li>Advanced Generative Workflows: Architect and implement state-of-the-art pipelines for ad creative generation. You will move beyond vanilla prompting to build systems capable of product, font, logo and brand asset preservation using techniques like IP-Adapters, and LoRAs.</li>
<li>End-to-End Image &amp; Video Editing: Build editing capabilities allowing advertisers to smart-crop, inpaint, outpaint, resize, and style-transfer assets while maintaining strict brand guidelines.</li>
<li>LLM/VLM Fine-Tuning: Adapt large vision-language models to understand "winning" ad aesthetics. You will build feedback loops where ad performance metrics (CTR, CVR) are used to fine-tune the generation process (RLHF/RLPF for Ads).</li>
<li>Safety &amp; Compliance Layer: engineer robust filtering and safety systems. You ensure our models never generate non-compliant, unsafe, or copyright-infringing content.</li>
<li>Partner Broadly: Collaborate with Product, Sales, Policy, UX, and sibling Ads ML teams to integrate ACE capabilities into the Ad Manager UI and the ad delivery path.</li>
<li>Guardrails &amp; Safety: Embed brand-safety filters, copyright checks, and human-in-the-loop escalation paths to protect users and advertisers.</li>
</ul>
What we’re looking for:
<ul>
<li>Deep ML Expertise: Hands-on experience with tree models, neural nets, ranking, and especially LLM/VLM fine-tuning &amp; RLHF/RLPF for ads.</li>
<li>Quant &amp; Experimentation Chops: Comfort with uplift metrics, variance, minimum detectable effects and experimentation setups for generative systems.</li>
<li>Ads / Marketplace Insight: Understanding auction dynamics and advertiser pain points to create tools that drive revenue and retention.</li>
<li>Startup Mindset: Bias to action, comfort with ambiguity, and scrappiness: ACE evolved from a startup acquisition and still moves fast.</li>
<li>Communication Superpowers: Able to distill complex ML trade-offs for executives, product managers, and non-technical stakeholders alike.</li>
<li>Prior work on ad creative tooling: Headline generators, image generators, pre-test models, editing flows for the advertiser.</li>
</ul>
Nice-to-have
<ul>
<li>Experience navigating brand-safety, privacy, or copyright frameworks in generative AI products.</li>
</ul>
Benefits:
<ul>
<li>Comprehensive Healthcare Benefits and Income Replacement Programs</li>
<li>401k with Employer Match</li>
<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>Flexible Vacation &amp; Paid Volunteer Time Off</li>
<li>Generous Paid Parental Leave&nbsp;</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">$230,000&mdash;$322,000 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>

Staff Machine Learning Engineer, Ads Creative Effectiveness

Job Title: Power BI Developer Location: Remote (with occasional travel to the West Midlands office) Salary: &#xA3;40,000 - &#xA3;50,000 per annum + Benefits About the RoleOur professional services customer is embarking on an exciting digital transformation and have recently designed and built a modern data platform with an external delivery partner. As such we are seeking an experienced Power BI Developer to take ownership of the reporting and analytics layer. Working closely with internal stakeholders and a Senior Data Engineer, you will translate key KPIs into intuitive and accurate reporting solutions. Working alongside external partners to manage a smooth knowledge transfer of reporting solutions, you will then take ownership to support and extend the suite. Key Responsibilities<ul><li>Reporting Ownership: Own, develop, and maintain Power BI reporting solutions.</li><li>Dashboard &amp; Model Creation: Translate agreed KPIs and business requirements into robust Power BI models, DAX measures, interactive dashboards, and comprehensive reports.</li><li>Data Integrity: Ensure all reporting output is accurate, fully reconciled and intuitive</li><li>Collaborative Transition: Engage with external development partners and key internal stakeholders during the transition phase to ingest the current data platform setup.</li><li>Continuous Improvement: Understand the underlying dimensional data models to optimise and extend the reporting suite as business requirements grow.</li></ul> Skills &amp; Experience Required<ul><li>Power BI: Strong, demonstrable experience in Power BI, DAX, and semantic/data modelling</li><li>SQL skills with the ability to comfortably navigate and understand underlying dimensional data models in a modern data warehouse environment.</li><li>Stakeholder engagement: work closely with business stakeholders to translate complex requirements into user-friendly analytics.</li></ul> <ul><li>Nice to have: Experience working with MS Fabric within a modern data estate.</li><li>Also Nice to have: Experience in professional services reporting (inc. financial data).</li></ul> What We Offer<ul><li>Competitive salary of &#xA3;40,000 - &#xA3;50,000 depending on experience.</li><li>A Remote first working environment with occasional travel required to the West Midlands.</li><li>The opportunity to shape the analytics culture of an organisation using a cutting-edge data stack.</li></ul> For further information or a confidential discussion on the role contact Dave Flynn at Meraki Talent today: david.flynn@merakitalent.com / 01312972709

Power BI Developer

How To Apply Don&apos;t send a CV! Send us something that shows who you actually are: a video, a voice note, or something you built with AI. Anything, as long as it isn&apos;t a CV, and a real person will read, watch or listen to it and come back to you. About Us The way we work has changed forever. AI is transforming every industry. Expectations are higher than ever. Skills have the shortest shelf life they&apos;ve ever had. Yet most businesses are still relying on disconnected systems, outdated technology and workplace learning that people simply don&apos;t want to use. We think that&apos;s broken. So we built something better. Thrive is the AI platform that&apos;s reinventing how modern businesses connect people, knowledge, skills and communication in one place. It&apos;s where work starts, learning happens and people get the answers they need to do their best work. Today, more than 3 million people across 60+ countries use Thrive every day. Over 500 ambitious organisations, including Vodafone, Volvo, British Airways and Krispy Kreme, trust us to power their people. But this is only the beginning. We&apos;re building the future of work, and we&apos;re looking for curious people who want to build it with us. People who challenge convention. Who move fast. Who care deeply about creating products customers genuinely love. People who aren&apos;t afraid to ask, &quot;Why has it always been done this way?&quot; and then go and build something better. If you want to solve meaningful problems, shape technology used by millions of people around the world and do the best work of your career alongside ambitious, supportive teammates, you&apos;ll thrive here. The Role At Thrive, we believe learning should make a real difference to people, performance and the organisations we work with. And data is a huge part of proving that impact. We&#x2019;re looking for a Learning Insights Analyst to work closely with some of our largest and most strategic enterprise customers, helping them turn complex data into clear, meaningful stories about learning, engagement and business impact. You&#x2019;ll bring strong experience with Snowflake and data visualisation tools such as Power BI or Tableau and Looker, but this role is about much more than building dashboards. You&#x2019;ll get under the skin of what our customers are trying to achieve, bring together data from different sources, ask great questions and help them uncover insights they can actually act on. You&#x2019;ll work collaboratively with customers and teams across Thrive on a range of interesting, complex and high-impact projects, from bespoke reporting and experimentation through to helping shape the future of our analytics product. Core Responsibilities <ul><li>Turning data into stories: You&#x2019;ll bring together multiple data sources and build models that help our customers understand the full learner journey, turning complex datasets into clear, useful and compelling insights.</li><li>Creating brilliant customer analytics: Our enterprise customers are complex, and no two are exactly the same. You&#x2019;ll build bespoke analytics, dashboards and reporting that reflect their individual goals, data landscape and challenges.</li><li>Building trusted customer relationships: You&#x2019;ll develop strong relationships across our key enterprise accounts, becoming a trusted analytics partner to customer stakeholders.</li><li>Helping shape what we build next: You&#x2019;ll be close to the challenges our biggest customers are trying to solve, giving you a brilliant opportunity to bring those insights back into Thrive. You&#x2019;ll help identify reporting and analytics requirements, influence our product roadmap and continually improve the way we help customers understand the impact of learning.</li><li>Making complex things feel simple: Whether you&#x2019;re talking to a data team, a learning leader or a senior stakeholder, you&#x2019;ll be able to translate the detail into a story that makes sense and helps people make better decisions. </li></ul>Who You Are You&#x2019;re someone who gets genuinely excited about what data can tell us, but, just as importantly, what people can do with that insight. You&#x2019;ll be curious enough to keep asking why, commercial enough to understand what matters to our customers and confident enough to work with stakeholders across large, complex organisations. What You&apos;ll Bring Essential Skills <ul><li>Strong analytics experience and a track record of using data to create meaningful value for customers, the business, or both.</li><li>Experience with Snowflake and visualisation tools such as Power BI or Tableau or Google Looker.</li><li>Experience working with REST APIs and bringing together data from multiple sources.</li><li>Confidence working with large enterprise customers, where data environments, requirements and stakeholder groups can be complex.</li><li>A natural ability to build trusted relationships and communicate comfortably with technical and non-technical stakeholders alike.</li><li>The ability to turn complex analysis into clear stories, recommendations and actions.</li><li>A curious mindset you&#x2019;ll want to understand the problem behind the request, rather than simply build what&#x2019;s been asked for.</li><li>An interest in experimentation and using data to understand what&#x2019;s working, what isn&#x2019;t and what we can learn from it.</li><li>Great project and time management skills, with the ability to balance multiple customer priorities and keep things moving.</li><li>A continuous-i mprovement mindset, you&#x2019;ll spot opportunities to make our processes smarter, simpler and more scalable.</li><li>An interest in learning technology and the role data can play in helping organisations get more from learning. Experience in the industry is a bonus, but definitely not essential. </li></ul>Experience with MongoDB and AWS cloud architecture would be a bonus, but isn&#x2019;t required. Above all, you&#x2019;ll be ambitious, collaborative and curious. You&#x2019;ll care about doing brilliant work for our customers, enjoy solving difficult problems with great people and want to help us keep pushing what learning analytics can do. Benefits <ul><li>Unlimited Holiday to support work-life balance</li><li>Thrivedays&#x2014;a reduced workday every Friday (10:00&#x2013;15:00), with no internal meetings</li><li>Flexible Working Hours within core hours (10:00&#x2013;16:00)</li><li>Birthday &amp; Christmas Off, including festive shutdown between Christmas &amp; New Year</li><li>Work From Anywhere&#x2014;fully remote-friendly (4 weeks a year)</li><li>Health Cash Back Plan with Health Shield</li><li>Employee Assistance Program for confidential support</li><li>Financial support program via Maji</li><li>Salary Sacrifice Pension Scheme</li><li>Death in Service (4x annual salary)</li><li>Green Car Scheme through salary sacrifice</li><li>Cycle to Work Scheme&#x2014;save up to 42% on a new bike</li><li>Perks at Work&#x2014;30,000+ national &amp; local employee discounts via CharlieHR &amp; Health Shield </li></ul>What To Expect We believe that finding a new job should be an enjoyable process. We&#x2019;re passionate about bringing our whole selves to work, so what you see is what you get. All we ask from you, is that you show us your authentic self. We&#x2019;re looking for people who bring something new to the team, who add to our culture and make it even greater. Our interview stages will be: <ul><li>Initial Screening Call: If we think you&apos;re a great addition to the team, you&apos;ll be invited to an introductory call with a member of our People Team. This is a chance to tell you about Thrive and give you an opportunity to ask questions.</li><li>First-Stage Interview: Following the initial call, you will have a first-stage interview with a member of the team you&apos;d be joining. This is a chance for us to get to know you better and for you to ask any questions about the role. We&apos;ll also discuss why Thrive interests you and what you feel you can add to our team.</li><li>Assessment Task: We may ask you to complete a practical assignment or case study between interview stages.</li><li>Final Stage Interview: You will meet with the Hiring Manager and/or a senior team member for a final interview. This stage is typically used for a more in-depth discussion and may involve a review of your assessment. </li></ul>At Thrive, we&#x2019;re on a mission to build an inclusive, welcoming culture that encourages and actively supports diversity. Our race, gender, religion, background, sexuality and beliefs are what make us unique. Our people are expected to always treat each other with respect, care and compassion. This starts from the moment you apply for a role at Thrive Learning, so we want you know we&#x2019;re an equal opportunity employer. We will always strive to be as inclusive as possible in all aspects of employment and have a zero-tolerance policy for discrimination of any kind. If you require any assistance, accommodations, or support during the application or interview stages, please don&apos;t hesitate to contact Ella Holland at ella.holland@thrivelearning.com. We&apos;re happy to help!

Learning Insights Analyst

The International Rescue Committee (IRC) responds to the world&apos;s worst humanitarian crises, helping to restore health, safety, education, economic wellbeing, and power to people devastated by conflict and disaster. Founded in 1933 at the call of Albert Einstein, the IRC is one of the world&apos;s largest international humanitarian non-governmental organizations (INGO), at work in more than 40 countries and 29 U.S. cities helping people to survive, reclaim control of their future and strengthen their communities. A force for humanity, IRC employees deliver lasting impact by restoring safety, dignity and hope to millions. If you&apos;re a solutions-driven, passionate change-maker, come join us in positively impacting the lives of millions of people world-wide for a better future. Background/IRC Summary The International Rescue Committee (IRC) responds to the world&#x2019;s worst humanitarian crises and helps people whose lives and livelihoods are shattered by conflict and disaster to survive, recover, and gain control of their lives. Founded in 1933 at the request of Albert Einstein, the IRC works with people forced to flee from war, conflict and disaster and the host communities which support them, as well as those who remain within their homes and communities. At work today in over 40 countries and 25 U.S. cities, we improve outcomes in the areas of health, safety, economic wellbeing, education and power. The IT department provides end-to-end technology solutions for the organization, including Application Development, Integration and Management, Enterprise Architecture, User Experience, Quality Assurance &amp; Testing, and overall Product Management. While this role sits within IT, its focus is on partnering with the Measurement, Evaluation, Technology, Accountability, and Learning (METAL) Unit &#x2014; bringing IT&apos;s systems and development expertise to METAL&apos;s technology and data priorities. The METAL Unit supports Crisis Response, Recovery &amp; Development (CRRD) in building a culture of strong data and evidence use through stewardship of the Data &amp; Performance Ecosystem, and coordinates the piloting and uptake of innovative technology solutions across four pillars: Global METAL Practice, Technology for Programs, Regional METAL Support, and CRRD Data &amp; Analytics. This role is anchored in Technology for Programs which maintains the tools and systems that support program teams&apos; data collection and use in the field. Job Overview/Summary Focused on data collection and program administration technology support, the Software Developer Analyst is a member of the team responsible for developing, implementing, and supporting IRC&#x2019;s global Data Toolkits and the analysis of the data generated by these products. This includes CommCare, Microsoft Power BI, and Microsoft SQL Server Azure based data warehouse. Working in partnership with staff at various levels and locations, the Software Developer Analyst performs a key role in analyzing, developing, and improving tools and processes contributing to the successful rollout of the Data Toolkits products. Specific tasks include data platform development, support, configuration, technical assistance and issues routing, second line help desk support, and participation in setting standards for processes, data quality, security, and systems configurations. Major Responsibilities <ul><li>Design, develop, and maintain Data Toolkits in CommCare</li><li>Design and build PowerBI Dashboards linked to live CommCare data</li><li>Review and analyze software requirements, confirm the feasibility and complexity of these requirements, and convert them into estimated developer tasks, validating that each requirement traces cleanly to system design and existing configuration before work begins</li><li>Provide updates and technology insights/clarifications to the relevant stakeholders</li><li>Develop and maintain data and metadata definitions, documentation and versioning.</li><li>Create technical documentation including system diagrams and implementation manuals</li><li>Implement and maintain data quality processes and development standards</li><li>Ensure compliance with IRC&#x2019;s data protection, confidentiality, and security policies</li><li>Provide Tier-2 and Tier-3 support emerging from Countries and Regional Technology support team for the measurement technology products rolled out.</li><li>During piloting and rollout, provide training and hyper-support on measurement technology products in close collaboration with the regional technology teams.</li><li>Any other duties as assigned by the supervisor. </li></ul>Key Working Relationships <ul><li>Position Reports to: Business Systems Analyst</li><li>Direct Reports: None</li><li>Management in Partnership: None </li></ul>Key Internal Relationships <ul><li>CommCare Product Manager</li><li>METAL QA Analyst</li><li>IT Data Team </li></ul>Required Skills <ul><li>Three to six years of experience working in technology domain to develop and rollout data or technology platforms for programs &#x2013; out of which, at least three years of experience developing, implementing, and supporting CommCare development for large and complex programs.</li><li>Experience in source code and version control platforms, for example, GitHub, Azure DevOps, or similar.</li><li>Strong in team development processes including pair programming, shadow sessions, code reviews and other strategies to ensure high-quality programing.</li><li>Strong code quality assurance practices including unit testing, integration testing, as well as regression testing to ensure quality of the code getting shipped into production.</li><li>Working knowledge of agile software delivery practices (user stories, backlog grooming, sprint ceremonies) and a demonstrated preference for iterative, requirements-driven development.</li><li>Ability to effectively communicate in English both in verbal (i.e., day-to-day discussions, team meetings) and written (requirements and design specifications) form, as well as an overall ability to be clear and concise in all communications. More specifically, the ability to clearly explain complex technology issues in layman&#x2019;s terms and simplify tech-related language depending on the audience/stakeholders is a huge asset.</li><li>Strong attention to detail to ensure fidelity to requirements and high-quality products.</li><li>Strong analytic curiosity and innovative problem-solving skills using a system thinking approach.</li><li>Demonstrable ability to work both independently and in a dynamic, cross-functional team structure.</li><li>Demonstrable ability to establish and maintain working relationships across all departments and levels of the organization. </li></ul>Education <ul><li>Bachelor&apos;s degree in computer science, Information Technology, or related discipline</li><li>Experience with Databricks, Dataverse connectors, APIs, and Microsoft Azure </li></ul>This is a remote position open to internal candidates based in countries where IRC operates who have the right to work in their location. Successful candidates will be hired on a local employment contract and according to local salary scale. This role is open to candidates located and with the right to work in United Kingdom and Kenya. Compensation: (UK Pay Rate: &#xA3;49,598 - &#xA3;60,040/yr). Ranges are based on various factors including the labor market, job type, internal equity, and budget. Exact offers are calibrated by work location, individual candidate experience and skills relative to the defined job requirements. Professional Standards: All International Rescue Committee workers must adhere to the core values and principles outlined in IRC Way - Standards for Professional Conduct. Our Standards are Integrity, Service, Equality and Accountability. In accordance with these values, the IRC operates and enforces policies on Safeguarding, Conflicts of Interest, Fiscal Integrity, and Reporting Wrongdoing and Protection from Retaliation. IRC is committed to take all necessary preventive measures and create an environment where people feel safe, and to take all necessary actions and corrective measures when harm occurs. IRC builds teams of professionals who promote critical reflection, power sharing, debate, and objectivity to deliver the best possible services to our clients. Cookies: https://careers.rescue.org/us/en/cookiesettings #IRC-EUROPE

Software Developer Analyst

Ready to do the most impactful work of your career? At&#xA0;Coinbase, 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&apos;t a place for complacency, it&#x2019;s a place to be pushed past your perceived limits. If you&apos;re ready to build the future of finance alongside people who refuse to settle for &quot;good enough,&quot; 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 &#x201C;surges.&#x201D;&#xA0;learn more about working at Coinbase. As a Risk &amp; Monitoring Analyst IV on the Operational Risk and Controls (ORC) team within Global Financial Crimes Operations (GFCO), you&apos;ll own quality assurance reviews of TMS investigations that support Coinbase&apos;s AML/CFT program. You&apos;ll strengthen consistency in case execution, surface procedural gaps, and partner across Operations, Compliance, Analytics, and Learning &amp; Development to turn quality insights into measurable operational improvements.What you&apos;ll do:<ul><li>Review TMS cases against established QA rubrics, including core sampling for regulatory filings (SARs) and risk-based sampling across priority compliance areas.</li><li>Lead calibration sessions, office hours, and structured analyst support to drive consistency and deepen understanding of complex procedural requirements.</li><li>Conduct root cause analysis on thematic quality issues and translate findings into actionable recommendations for process, training, and procedural updates.</li><li>Partner with second line of defense stakeholders and deliver timely, well-supported responses to review and audit findings.</li><li>Build and present weekly metrics, dashboards, and trend analyses that highlight risks, performance themes, and improvement opportunities to senior stakeholders.</li><li>Train new joiners, validate practice cases, and provide structured feedback to accelerate analyst readiness and quality performance.</li></ul>Required Skills and Experience:<ul><li>6+ years of experience in quality assurance, quality control, audit, or financial crime investigations within a regulated financial services environment.</li><li>Working knowledge of BSA/AML laws, regulations, and requirements, with demonstrated ability to apply risk-based judgment when reviewing complex investigations.</li><li>ACAMS certification or equivalent AML qualification.</li><li>Proven experience producing compliance metrics, dashboards, and performance reporting for operational and compliance stakeholders (proficiency in Google Sheets/Excel and Google Slides/PowerPoint).</li><li>Track record of presenting QA findings, root cause analyses, and procedural recommendations to senior compliance and operations leaders across multiple regions.</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></ul> Pay Transparency Notice: The target annual base salary for this position can range as detailed below. Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, and vision).Annual base salary range (excluding equity and bonus):: &#xA3;55,620 GBP - &#xA3;61,800 GBP <ul><li>Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period.</li><li>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>US Applicants: View Employee Rights, Know Your Rights, and E-Verify Notice of Participation.</li><li>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.&#xA0;Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial.</li><li>Data Privacy &amp; Arbitration: By submitting your application, you agree to our Candidate Privacy Notice. US applicants: By submitting your application, you agree to Arbitration of Disputes. </li></ul>

Risk & Monitoring Analyst IV

Synthomer is a leading supplier of high-performance, highly specialised polymers and ingredients that play vital roles in key sectors such as coatings, construction, adhesives, and health and protection &#x2013; growing markets that serve billions of end users worldwide. Headquartered in London, UK and publicly listed there since 1971, we employ c.3,900 employees across our 5 innovation centres of excellence and more than 29 manufacturing sites across Europe, North America and Asia. Around 20% of our sales volumes are from new and patent protected products. At our innovation centres of excellence in the UK, Germany, China, Malaysia and Ohio, USA we collaborate closely with our customers to develop new products and enhance existing ones tailored to their needs, with an increasing range of sustainability benefits. Since 2021, we have been proud holders of the London Stock Exchange Green Economy Mark, which recognises green technology businesses making a significant contribution to a more sustainable, low-carbon economy. Data Scientist Turn data into business value Location: Home-based (Netherlands, Belgium or United Kingdom) Type: Full-time At Synthomer, we&apos;re investing in data, analytics, and artificial intelligence to transform how we operate and make decisions. To support this ambition, we are expanding our new Digital Centre of Excellence and are looking for a talented Data Scientist to help drive innovation across the business. If you&apos;re passionate about solving complex problems, building predictive models, and creating tangible business impact through data, we&apos;d love to hear from you. Your impact As a Data Scientist, you&apos;ll transform data into actionable insights, develop advanced analytical solutions, and help shape the next generation of digital capabilities at Synthomer. You&apos;ll work alongside Data Engineers, Data Translators, and business stakeholders to develop end-to-end solutions that create measurable value. What You&apos;ll Be Doing <ul><li>Explore, prepare, and refine datasets for advanced analytics and machine learning.</li><li>Conduct exploratory data analysis to identify trends, patterns, and opportunities.</li><li>Develop predictive and prescriptive models using statistical and machine learning techniques.</li><li>Design feature engineering strategies to maximize model performance.</li><li>Communicate insights through visualizations, presentations, and dashboards.</li><li>Deploy machine learning models and monitor performance in production environments.</li><li>Support and promote the use of AI, advanced analytics, and data-driven decision-making across the organization. </li></ul>What We&apos;re Looking For <ul><li>2-5 years of experience in Data Science, Analytics, or Machine Learning.</li><li>Strong knowledge of statistics, predictive modelling, and machine learning techniques.</li><li>Proficiency in Python, SQL, Databricks, and Apache Spark.</li><li>Experience working with cloud-based analytics platforms.</li><li>Strong communication skills and the ability to explain complex insights to business stakeholders.</li><li>A curious mindset and passion for innovation and continuous learning. </li></ul>Why join Synthomer? <ul><li>Play a key role in building a world-class Digital Centre of Excellence.</li><li>Work on high-impact AI and advanced analytics projects.</li><li>Collaborate with global teams across manufacturing, commercial, operational, and corporate functions.</li><li>Enjoy the flexibility of a home-based role.</li><li>Help shape the future of digital innovation in a leading global specialty chemicals business. </li></ul>Are you our new teammember! We&apos;re looking forward to hear from you! &#x1F30D; Global Benefits Overview <ul><li>&#x1F4B0; Competitive, market-aligned compensation</li><li>&#x1F3AF; Discretionary global bonus scheme</li><li>&#x1F4C8; Discretionary Long-Term Incentive Plan (LTIP) &#x2013; for senior positions</li><li>&#x1F697; Company car or car allowance &#x2013; varies by region and role</li><li>&#x1FA7A; Healthcare &#x2013; tailored to regional locations</li><li>&#x1F476; Parental leave and family support &#x2013; maternity, paternity, adoption (aligned with regional policies)</li><li>&#x1F3E1; Working options &#x2013; flexibility where it matters, based on role and business needs</li><li>&#x1F4DA; Learning &amp; development opportunities &#x2013; training, online platforms, buddy/mentorship programs, Internal Synthomer University with L&amp;D offers</li><li>&#x1F499; Wellbeing support &#x2013; employee assistance program (EAP), mental health resources, wellbeing initiatives</li><li>&#x1F331; Retirement / pension contributions &#x2013; plans vary by country</li><li>&#x1F91D; Culture of Inclusion &#x2013; where everyone can thrive</li><li>&#x1F3C6; Performance culture, global reward &amp; recognition programmes</li></ul>

Data Scientist

<h2>About <a href="http://customer.io/" rel="nofollow ugc noopener" target="_blank">Customer.io</a></h2>Over 8,000 companies — from scrappy startups to global brands — use our platform to send billions of emails, push notifications, in-app messages, and SMS every day. <a href="http://Customer.io" rel="nofollow ugc noopener" target="_blank">Customer.io</a> powers automated communication that people actually want to receive. We help teams send smarter, more relevant messages using real-time behavioral data.<h2>About the role</h2>Hi, my name is Maria Culkin, Analytics Manager at <a href="http://Customer.io" rel="nofollow ugc noopener" target="_blank">Customer.io</a>, and I'm looking for a Senior Data Scientist to help our teams make better decisions using customer and product data.You'll partner closely with Product, Marketing, and Customer Experience to evaluate product changes, design and analyze experiments, identify opportunities to improve the customer experience, and influence roadmap and business priorities. This is a hands-on role focused on analyzing behavior, building models, and turning data into clear, actionable direction.This role is ideal for someone who enjoys solving ambiguous problems, working closely with stakeholders, and applying data science pragmatically to support product and business decisions. We're looking for someone with an ownership mindset and a bias for action who balances technical rigor with practical decision-making.<h2>What we value</h2>Ownership: You take initiative and drive analytical work from concept to implementation. You don't wait for perfect requirements — you help define the problem and move the work forward.Curiosity: You naturally question assumptions and dig deeper into the "why" behind user behavior. You enjoy uncovering patterns in complex data and have the persistence to work through ambiguity and messy datasets.Analytical Rigor: You bring a thoughtful, structured approach to analytics and decision-making. You know how to define meaningful measures of success, evaluate changes with rigor, and distinguish signal from noise in complex behavioral data so teams can act with confidence.Communication: You can translate complex analytical concepts into clear recommendations for Product Managers, executives, and non-technical stakeholders.Collaboration: You work as a true cross-functional partner, balancing analytical rigor with practical business needs. You build trust by making data approachable, actionable, and reliable.<h2>What you'll do</h2><ul>
<li>Analyze behavioral patterns across the customer lifecycle to identify trends, usage archetypes, and opportunities to improve adoption, engagement, and retention.</li>
<li>Design experiments and measurement approaches to evaluate the impact of product and marketing changes - and help teams make decisions based on evidence rather than intuition.</li>
<li>Build models and datasets that improve how teams segment customers, forecast outcomes, and identify trends.</li>
<li>Apply machine learning and AI techniques where they solve practical problems, for both internal decision-making and customer-facing scenarios.</li>
<li>Partner with Data Engineering to improve the quality, reliability, and accessibility of core data and metrics.</li>
<li>Communicate findings clearly and directly so teams can make informed decisions without needing a statistics background.</li>
</ul><h2>What we're looking for</h2><ul>
<li>5+ years of experience in a Data Science role within B2B SaaS or a similar product- or growth-focused environment.</li>
<li>Strong foundation in statistics, experimentation, and behavioral analytics - with the ability to apply them pragmatically to real product and business problems.</li>
<li>Proficiency in SQL and Python for large-scale analysis, modeling, and exploration.</li>
<li>Experience with modern cloud data platforms (Snowflake, BigQuery, or similar); familiarity with dbt is a plus.</li>
<li>Strong communication and stakeholder skills - you can explain complex analysis clearly to PMs, marketers, executives, and non-technical partners.</li>
<li>An ownership mindset - you help define the problem and move work forward; you don't wait for perfect requirements.</li>
</ul><h2>Why This Role</h2>This role offers the opportunity to work on high-impact problems across the business while helping shape how data science and analytics evolve within the organization. You'll have the autonomy to explore meaningful questions, influence strategy, and help build a stronger data-informed culture.<h2>Compensation &amp; Benefits</h2>We believe in transparency. Starting salary for this role is $140,000-$150,000 USD (or equivalent in local currency) depending on experience and subject to market rate adjustment.We know our people are what make us great, and we’re committed to taking great care of them. Our inclusive benefits package supports your well-being and growth, including 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family. We also offer 16 weeks paid parental leave, unlimited PTO, stipends for remote work and wellness, a professional development budget, and more.<a href="https://customer.io/careers#:~:text=our%20collective%20success.-,BENEFITS,-Our%C2%A0" rel="nofollow ugc noopener" target="_blank">See full benefits here →</a><h2>Our Process</h2>No gotchas, no trick questions - just a clear, human process designed to help both of us make an informed decision.<ul>
<li>30-minute video call with Recruiter</li>
<li>45-minute video call with Hiring Manager</li>
<li>45-minute Technical Interview with Team Member</li>
<li>Take-Home Behavioral Analytics Assignment</li>
<li>60-minute Case Review with Team</li>
</ul>All final candidates will be asked to complete a background check and employment verifications as part of our pre-employment process.<a href="http://Customer.io" rel="nofollow ugc noopener" target="_blank">Customer.io</a> recognizes the stifling impact of systemic injustice on diverse communities. We commit to using our influence to increase inclusion and equity within the tech industry. We strive to build an inclusive team culture, implement bias-free hiring practices, and develop community partnerships to expand our global impact.Zoom is the only video conference platform that we use, virtual interviews will be conducted using the video capability (i.e., not via the chat), and offers will be extended in writing on official <a href="http://customer.io/" rel="nofollow ugc noopener" target="_blank">Customer.io</a> letterhead. Please be vigilant in all of your job search activity, and if you have any questions please contact <a href="mailto:jobs@customer.io" rel="nofollow ugc noopener" target="_blank">jobs@customer.io</a>.<h2>Join us!</h2>Check out our <a href="https://customer.io/careers/" rel="nofollow ugc noopener" target="_blank">careers page</a> for more information about why you should <a href="https://customer.io/about/" rel="nofollow ugc noopener" target="_blank">come work with us!</a> We believe in empathy, transparency, responsibility, and, yes, a little awkwardness. If you’re excited by what you read — apply now.

<div>
<h3>Data Scientist</h3>
<a href="https://himalayas.app/companies/revenue-analytics">Revenue Analytics</a> is a SaaS company that helps companies make better revenue decisions in pricing, products, and promotions. Our analytics solutions drive measurable revenue uplift and help customers move faster with more confidence.
Founded in 2005, we combine deep expertise in pricing and revenue management with modern software, machine learning, and AI to power complex commercial decisions. In Hospitality, we are building products that help redefine what modern revenue management looks like — turning advanced analytics into practical product capability for hotel operators navigating pricing, demand, and competitive complexity.
This Data Scientist position represents a unique opportunity to join a growth-stage company that is investing aggressively in the future of hospitality revenue management. We are looking for someone excited by that opportunity and motivated to help build real product capability, not just one-off analysis.
As a Data Scientist, you will help build machine learning and AI systems that power our hospitality analytics platform. You will work on revenue management and pricing problems in a complex, fast-moving domain, partnering closely with product, science, and engineering to turn ambiguous questions into rigorous analytical solutions. Your work will directly influence product direction and help hospitality customers make better, faster, more data-driven decisions.
<h3>What You Will Do:</h3>
<ul>
<li>Build machine learning and AI solutions that support pricing, forecasting, and revenue management decisions in hospitality.</li>
<li>Analyze large, sometimes messy datasets to identify patterns, risks, and opportunities, and turn them into practical recommendations or product capability.</li>
<li>Write clean Python and SQL, working with data pipelines and analytical workflows to prepare, validate, and operationalize data.</li>
<li>Apply modern AI techniques, including LLMs and AI coding tools such as Claude Code, thoughtfully to accelerate prototyping, learning, and development while maintaining technical quality.</li>
<li>Partner closely with product, engineering, and cross-functional stakeholders to translate business problems into analytical solutions and communicate insights clearly.</li>
</ul>
<h3>What You Will Bring:</h3>
<ul>
<li>0–2 years of experience in data science, analytics, machine learning, or a related field, including internships, research, senior projects, or meaningful independent projects.</li>
<li>Bachelor’s or Master’s degree in statistics, mathematics, operations research, computer science, engineering, or another quantitative field.</li>
<li>Hands-on coding experience in Python, working knowledge of SQL, and familiarity with modern data analysis and machine learning workflows.</li>
<li>Ability to structure ambiguous problems, choose sensible analytical approaches, and explain trade-offs, limitations, and recommendations clearly.</li>
<li>Strong curiosity, ownership, and learning agility, with interest in hospitality, travel, pricing, forecasting, or other business problems where analytics can directly influence outcomes.</li>
</ul>
<h3>Preferred Qualifications:</h3>
<ul>
<li>Experience with revenue management, pricing, forecasting, segmentation, or related analytical problem spaces.</li>
<li>Experience building something reusable or scalable, such as a data pipeline, internal tool, model workflow, or decision-support analysis.</li>
<li>Familiarity with cloud platforms, business intelligence tools, or modern AI tooling in technical workflows.</li>
</ul>
</div><div>
<h3>Who We Are</h3>
<div>A pioneer of Revenue Management, <a href="https://himalayas.app/companies/revenue-analytics">Revenue Analytics</a> is an enterprise SaaS company that partners with hospitality, media, and transportation companies to solve their most complex pricing challenges. By leveraging powerful analytics and deep strategic experience, <a href="https://himalayas.app/companies/revenue-analytics">Revenue Analytics</a>’ next-generation software delivers intuitive answers to help companies perfect their pricing, reclaim missed revenue, and take back their time. To learn more about how <a href="https://himalayas.app/companies/revenue-analytics">Revenue Analytics</a> is recreating Revenue Management, visit revenueanalytics.com or follow us on Twitter and LinkedIn.</div>
<div>Visa sponsorship is not available for this role. <a href="https://himalayas.app/companies/revenue-analytics">Revenue Analytics</a> embraces diversity and is an equal opportunity employer. We are committed to building a Team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be.</div>
</div>Originally posted on <a href="https://himalayas.app">Himalayas</a>

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