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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>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">
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<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
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<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
</li>
<li>
Experience building visualizations with Tableau, Looker or similar BI platforms
</li>
<li>
Proficient in communicating insights to business partners
</li>
<li>
Ability to manage cross-functional stakeholders and prioritize an analytics roadmap in a dynamic environment with competing priorities
</li>
<li>
Experience applying statistics and experiment design in a business context
</li>
<li>
Experience in at least one data-oriented language like Python, R or Julia
</li>
<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
</li>
<li>
Experience applying causal inference, predictive modeling or other advanced statistical methods in a business context
</li>
</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>

Senior Data Scientist

<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>
</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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At ExtraHop, we’re on a mission to protect and empower the connected enterprise. We reveal what is happening in the very infrastructure that sustains businesses, lives, and communities, and ensure the integrity of networks, data, systems, and processes. Organizations rely on ExtraHop to provide visibility into the cyber threats, vulnerabilities, and network performance issues that evade their existing security and IT tools. With this insight, organizations can investigate smarter, stop threats faster, and keep operations running.
Our mission is fueled by a profound social and moral responsibility to be the best at what we do, ensuring a secure world where everyone can thrive. If this sounds like a place you’d like to spend the next chapter of your career, we’d love to hear from you. 
</div><h3>Position Summary</h3>ExtraHop is at the forefront of innovation in the cybersecurity space, delivering cutting-edge solutions to protect organizations against evolving threats. Our Network Detection and Response (NDR) products empower businesses to detect, respond to, and mitigate cyber risks in real time.We seek a Principal Software Engineer to join our product development organization and serve as a technical anchor on our NDR platform. In this role, you will drive the architecture and execution of complex, high-impact engineering initiatives that define the future of our products. You will operate with significant autonomy, influence engineering direction across teams, and mentor engineers at multiple levels while delivering software that addresses the most sophisticated challenges in network security.<h3>Key Responsibilities</h3><ul>
<li>Design, write, and maintain robust, high-performance software to deploy AI/ML models that analyze network traffic for anomalous or malicious behaviors.</li>
<li>Design and develop autonomous AI agent architectures and multi-agent workflows. </li>
<li>Collaborate with data scientists, threat researchers, and cloud teams to build high-performance services, pipelines, and tooling that accelerate ML experimentation and production workflows. </li>
<li>Drive engineering excellence across teams through code reviews, design reviews, and the establishment of standards, patterns, and best practices.</li>
<li>Lead cross-functional technical initiatives and represent engineering in conversations with senior leadership and external stakeholders.</li>
<li>Contribute to product strategy by bringing deep technical insight to roadmap discussions, build-vs-buy decisions, and competitive differentiation.</li>
<li>Lead by example. Provide technical mentorship to software engineers on the team, fostering a culture of continuous learning, optimization, and rigorous engineering discipline. </li>
</ul><h3>Required Qualifications</h3><ul>
<li>Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.</li>
<li>8+ years of professional software engineering experience, with at least 2 years in Principal, Lead, or Staff capacity shipping enterprise-grade software. </li>
<li>Expert-level programming skills in Python and Go, with an emphasis on writing production-quality, well-tested, and modular code.</li>
<li>Experience in machine learning, statistics, or a related quantitative discipline.</li>
<li>Experience building or operating production AI/ML systems, including model lifecycle management, data/training pipelines, and monitoring.</li>
<li>Expertise in applying machine learning or data science techniques to cybersecurity use cases such as anomaly detection, behavioral analysis, or threat classification.</li>
<li>Advanced understanding of threat detection methodologies, intrusion prevention systems, and incident response workflows.</li>
</ul><h3>Preferred Qualifications</h3><ul>
<li>A strong fundamental understanding of network telemetry and protocols.</li>
<li>Prior experience working in the cybersecurity domain. Familiarity with threat actor techniques and common network attack vectors.</li>
<li>Familiarity with machine learning applications in cybersecurity.</li>
<li>Understanding of threat detection, intrusion prevention, and incident response strategies.</li>
<li>Deep experience with cloud services on AWS or Azure.</li>
<li>Deep experience with containerization and orchestration technologies including Docker and Kubernetes at production scale.</li>
<li>Strong written and verbal communication skills, including the ability to influence technical and non-technical audiences at the executive level.</li>
</ul>The salary range for this role is $175,000 - $198,000 + bonus + benefits <div class="content-conclusion">
<h3>ABOUT EXTRAHOP</h3>
ExtraHop is reinventing Network Detection and Response (NDR) to offer enterprises unparalleled visibility, context, and control against emerging threats. The platform integrates NDR with Network Performance Management (NPM), Intrusion Detection Systems (IDS), and forensics, providing a single, comprehensive solution. By decrypting and analyzing complete packet-level data at wire speed and leveraging cloud-scale machine learning, ExtraHop empowers Security Operations Centers (SOCs) to detect, investigate, and remediate modern cyber risks in real time across their entire hybrid infrastructure, including data center, cloud, and SASE environments.
This comprehensive approach and market innovation have earned ExtraHop unique recognition as the only NDR vendor acknowledged as a leader by all major analyst firms, including the 2025 Gartner® Magic Quadrant for Network Detection and Response™, the 2025 Forrester® Wave for Network Analysis and Visibility, the 2024 IDC® Marketscape for NDR, and the 2025 Gigamon® Radar Report for Network Detection and Response. Since 2007, ExtraHop has consistently helped organizations worldwide extract in-depth network telemetry and contextual insights, affirming its commitment to protecting and empowering the connected enterprise.
<h3>OUR VALUES</h3>
Our culture is rooted in our five Values. These set the expectations for how we work individually and collectively as a team. 
Lead with Purpose: We are driven to deliver results that create a positive impact for our customers, partners, and colleagues.
Act with Integrity: We operate with transparency, authenticity, and always in the best interest of the company. 
Find a Way: We are resourceful, tackle hard problems with a sense of urgency and ownership, and do what it takes to get the job done.
Innovate: We listen to customers, partners, and the market, and respectfully push boundaries and challenge the status quo.
Share Success: We run together, we win together. We value diverse perspectives, hold space for all voices, and achieve the best results as a team. 
<h3>BENEFITS</h3>
Employees' wellbeing is top of mind for the ExtraHop team. Employees and their families will have the option to participate in the following benefits:
<ul>
<li>Health, Dental, and Vision Benefits</li>
<li>Flexible PTO, Sick Time Prorated Based on Date of Hire, and All Federal Holidays (US Only) + 3 Days of Paid Volunteer Time</li>
<li>Non-Commissioned Positions may be eligible to participate in the Annual Discretionary Bonus Plan</li>
<li>FSA and Dependent Care Accounts + EAP, where applicable</li>
<li>Educational Reimbursement</li>
<li>401k with Employer Match or Pension where applicable</li>
<li>Pet Insurance (US Only)</li>
<li>Parental Leave (US Only)</li>
<li>Hybrid and Remote Work Model</li>
</ul>
Our people are our most important competitive advantage, leading the charge against cyber criminals. Join the fight today! 
To learn more, visit our website or follow us on LinkedIn. 
<h3>Create a Job Alert</h3>
Interested in building your career at ExtraHop? Get future opportunities sent straight to your email.
</div>Originally posted on <a href="https://himalayas.app">Himalayas</a>

Principal Software Engineer  | Data Science

Required Clearance: Secret Required Education: Bachelor’s Degree Required Experience: Minimum of 3 years of experience<h3>Position Description</h3><a href="https://himalayas.app/companies/pingwind">PingWind</a> is seeking a Data Scientist II who will provide technical, analytical, and lifecycle support to the Maritime Electronic Warfare Systems Division (MEWSD) for critical U.S. Navy Electromagnetic Warfare (EW), Decoy, and Surface Electronic Warfare Improvement Program (SEWIP) systems. This role supports cradle-to-grave activities, including engineering, technology transition, installation, logistics, product support, test and evaluation, sustainment, maintenance, and repair. The Data Scientist II will integrate logistics, data science, reliability and maintainability engineering, and operations research to analyze and model complex systems, improve operational availability, and support data-driven decisions. This position directly contributes to optimizing warfighting capability, system readiness, reliability, and lifecycle performance while balancing mission requirements, performance, and cost.<h3>Responsibilities</h3><h3>Typical Responsibilities/Tasks:</h3><ul>
<li>Develop and implement analytical techniques and applications that transform raw data into meaningful, actionable information supporting operational and program decision-making. • Apply data mining, data modeling, statistical analysis, natural language processing (NLP), and machine learning techniques to analyze large structured and unstructured datasets. • Use data-oriented programming languages and analytical tools to collect, process, integrate, analyze, and interpret complex datasets. • Develop data models and algorithms to identify trends, patterns, relationships, anomalies, risks, and performance indicators. • Create effective data visualizations, dashboards, and dynamic reports that communicate complex analytical findings to technical and non-technical stakeholders. • Interpret analytical results and provide data-driven findings and recommendations to support system performance, readiness, reliability, maintainability, and operational availability. • Integrate logistics, engineering, maintenance, reliability, and operational data to support lifecycle management and sustainment analysis. • Develop and maintain repeatable analytical processes, models, and reporting solutions that improve data quality, consistency, traceability, and accessibility. • Collaborate with logisticians, engineers, operations research analysts, and program personnel to translate mission and business requirements into analytical solutions. • Prepare and present technical reports, analyses, visualizations, and briefings that enable timely, informed decision-making and continuous performance improvement.</li>
</ul><h3>Required Qualifications</h3><h3>• Minimum of 3 years of experience</h3>About Pingwind <a href="https://himalayas.app/companies/pingwind">PingWind</a> is focused on delivering outstanding services to the federal government. We have extensive experience in the fields of cybersecurity, development, IT infrastructure, supply chain management and other professional services such as system design and continuous improvement. <a href="https://himalayas.app/companies/pingwind">PingWind</a> is a VA CVE certified Service-Disabled Veteran-Owned Small Business (SDVOSB) and SBA HUBZone Certified with offices in Washington DC and Northern Virginia. www.<a href="https://himalayas.app/companies/pingwind">PingWind</a>.com<h3>Our benefits include:</h3><ul>
<li>Eleven Federal Holidays · Paid Time Off accrued each pay period · Parental Leave · Three medical plan choices with generous employer contribution · Dental and Vision Insurance · Company paid Short-Term and Long-Term Disability · Company paid Life and AD&amp;D Insurance · 401k with competitive matching and vesting schedule · Continuing education assistance · Short Term / Long Term Disability &amp; Life Insurance · Medical, Dependent Care and Commuter Flexible Spending Accounts · Employee Assistance Program · Wellness benefits include Calm Health app and WellHub gym subsidy (formerly GymPass) · 529 College Savings Plan · Legal Insurance · Pet Insurance Salary Range
</li>
</ul>The pay range for this job is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) job responsibilities, education, certifications, experience, as well as internal equity mapping and alignment with market data, or other applicable laws.<h3>Veterans are encouraged to apply</h3><a href="https://himalayas.app/companies/pingwind">PingWind</a>, Inc. does not discriminate in employment opportunities, terms, and conditions of employment, or practices on the basis of race, age, gender, religious or political beliefs, national origin or heritage, disability, sexual orientation, or any characteristic protected by law.Originally posted on <a href="https://himalayas.app">Himalayas</a>

Data Scientist II

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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>We’re looking for a Senior Staff Machine Learning Engineer to lead Reddit’s next-generation user understanding initiative: building a unified, high-fidelity representation of each user that powers personalization across the platform.
This role requires deep expertise in mainstream ML user modeling approaches (e.g., large-scale embeddings, user interest modeling, affinities, behavioral signals) and the ability to reimagine these systems in the GenAI era—leveraging LLMs and foundation models to unlock step-change improvements in fidelity, adaptability, and expressiveness.
You will set the technical direction for this space, leading the design and implementation of Reddit’s core user representation layer—spanning embeddings, interest modeling, and key user attributes. You’ll ensure this foundation is scalable, reliable, and widely adopted across Feeds, Search, Notifications, and Ads, partnering closely with product, infrastructure, and downstream ML teams to drive measurable impact.
This is a high-impact role. The systems you build will shape how hundreds of millions of people experience Reddit every day—what they see, what they discover, and the communities they connect with. Your work will directly advance personalization and relevance at global scale, strengthening Reddit as a platform for meaningful connection and belonging.
What you'll do:
<ul>
<li>Design User Understanding Strategy: Define a unified user understanding framework and strategy: how users are represented (embeddings, tags, attributes, LLM-based user profile), how they are computed, stored, and exposed. Provide thought leadership in user understanding and user modeling by setting a long-term technical vision and advancing the state-of-the-art in the field.</li>
<li>Build Foundational User Models: Lead design and implementation of advanced user models, e.g. large-scale user representation learning (sequence-based, multi-interest, multi-task) that share representations across surfaces to improve personalization experience across key Reddit products e.g. Feeds, Notification, Search and Ads, balancing latency, cost, and performance.</li>
<li>Reimagine user understanding with LLM/Gen-AI: Evolve user modeling beyond traditional representations by leveraging LLMs to build richer user understanding (e.g., dynamic user profiles, intent inference, semantic reasoning over user behavior). Explore how LLMs can augment or unify embeddings, attributes, and taxonomies to enable more adaptive, interpretable, and context-aware personalization.</li>
<li>Ship Large Scale User Understanding as a System: Partner with platform teams to design and build core components for large-scale learning and serving: storage/retrieval for embeddings, feature pipelines, and APIs. Collaborate with ML/Ranking infra to ensure low-latency serving, high availability, and integration with MLOps systems.</li>
<li>Drive Cross-Team Integration &amp; Impact: Partner with Feeds, Notification, Search and Ads teams to drive experimentation and adoption of new user understanding models with product teams across Reddit, ensuring measurable end-to-end impact on key metrics.</li>
<li>Set Technical Bar &amp; Mentor: Mentor senior to staff engineers, lead design reviews, steward technical decisions across the user understanding domain, and champion and drive engineering processes and best practices</li>
</ul>
Who you might be:
<ul>
<li>You have at least 10 years experience building and scaling production-grade ML systems, particularly in user modeling, large-scale representation learning, or recommender systems.</li>
<li>You have a track record of driving ambiguous, high-impact initiatives from concept to production, shaping both technical direction and execution.</li>
<li>You are product- and impact-oriented: you care deeply about how your work moves real metrics (e.g., engagement, retention, revenue), not just model quality.</li>
<li>You bring strong fundamentals in mainstream user understanding ML approaches (e.g., representation learning, behavioral modeling, user clustering), and understand their trade-offs in real-world systems.</li>
<li>You are excited about the GenAI shift and have experience (or strong intuition) applying LLMs or foundation models to evolve existing systems,&nbsp; going beyond incremental improvements.</li>
<li>You think in systems, not just models: you consider data, training, evaluation, serving, and adoption as a cohesive whole, and design with end-to-end impact in mind.</li>
<li>You influence beyond your immediate team: partnering effectively with product, infra, and other ML teams, and driving alignment across multiple stakeholders.</li>
<li>You raise the technical bar: mentoring senior engineers, leading design reviews, and establishing best practices for building reliable, scalable ML systems.</li>
<li>You are comfortable navigating trade-offs across quality, latency, cost, and safety, especially in large-scale, user-facing systems.</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>
#LI-remote, #LI-JS5<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">$266,000&mdash;$372,400 USD</div></div></div><div class="content-conclusion">In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.&nbsp; We will not sell your personal information or disclose it to any third party for their marketing purposes.&nbsp; We will delete any recording of your interview promptly after making a hiring decision.&nbsp; For more information about how we will handle your personal information, including our retention of it, please refer to our <a href="https://redditinc.com/policies/candidate-privacy-policy">Candidate Privacy Policy for Potential Employees and Contractors</a>.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.&nbsp; Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.</div>

Senior Staff Machine Learning Engineer, ML Understanding

Company Description At Amwell, we&#x2019;re transforming healthcare for all&#x2014;powered by technology and inspired by people. Here, your ideas don&#x2019;t just matter&#x2014;they drive real change, improving lives on a global scale. We marry technology and innovation with clinical excellence to provide trusted solutions that solve the healthcare industry&#x2019;s biggest pain points and are on a mission to enable greater access to more convenient, affordable, and effective care. We do this through our technology-enabled care platform that is designed to help our clients achieve their digital care ambitions &#x2013; today and in the future. We offer programs spanning the full care continuum, including urgent, acute and specialty care, behavioral health, and services for the treatment of chronic conditions such as heart and cardiometabolic diseases. Programs are powered by Amwell as well as our growing partner network. For almost two decades, Amwell has proudly served some of the largest and most sophisticated healthcare organizations in the U.S. and worldwide. Our team is passionate about technology&#x2019;s role in transforming care delivery and making it more equitable, accessible, efficient, cost-effective and navigable for all. Brief Overview The Digital Health Scientist is responsible for generating and communicating evidence that demonstrates the clinical, economic, value-based, and business impact of Amwell&#x2019;s digital health and telemedicine solutions. This role leads and supports research initiatives, analyzes complex healthcare data, collaborates with customers and cross-functional teams, and contributes to scientific publications and thought leadership efforts. The Digital Health Scientist plays a critical role in advancing evidence-based virtual care and helping shape the future of digital healthcare delivery. Core Responsibilities <ul><li>Lead and support research projects focused on clinical, economic, value-based, and business outcomes across Amwell&#x2019;s digital health and telemedicine solutions.</li><li>Design research methodologies, develop study protocols, and manage project-related research activities.</li><li>Collect, manage, and analyze quantitative and qualitative data, including surveys, questionnaires, interviews, and large healthcare datasets.</li><li>Interpret complex findings and translate research outcomes into actionable insights for internal and external stakeholders.</li><li>Supervise and provide project-level guidance to junior research team members.</li><li>Collaborate with research leadership and cross-functional teams to ensure timely delivery of research projects and initiatives.</li><li>Partner with product, engineering, design, sales, marketing, and business intelligence teams to define, measure, and report solution-level and enterprise-level outcomes.</li><li>Support customers in implementing research studies and establishing success metrics for digital health programs.</li><li>Present research findings, progress updates, and recommendations to customers, leadership teams, and other stakeholders.</li><li>Develop customer-facing reports, white papers, infographics, conference presentations, and other evidence-based materials.</li><li>Prepare, write, submit, and manage peer-reviewed scientific publications, including responding to reviewer feedback and manuscript revisions.</li><li>Contribute to Amwell&#x2019;s thought leadership and innovation efforts within digital health, telemedicine, and virtual care. </li></ul>Qualifications Required Qualifications <ul><li>A PhD (or equivalent research experience) in any specialist area of medicine, health economics, statistics &amp; data analytics or related subjects.</li><li>Strong understanding of digital health technologies and their role in delivering technology-enabled healthcare services.</li><li>Experience designing, conducting, and evaluating quantitative and qualitative research studies.</li><li>Demonstrated ability to analyze, interpret, and communicate complex healthcare data and research findings.</li><li>Experience working with large datasets and generating evidence-based insights.</li><li>Proven record of peer-reviewed scientific publications.</li><li>Strong organizational and project management skills, with the ability to work independently and manage competing priorities.</li><li>Excellent written, verbal, and presentation skills.</li><li>Strong collaboration skills and the ability to work effectively with diverse stakeholders across technical, clinical, and business functions.</li><li>Passion for advancing digital healthcare and improving patient outcomes through evidence-based innovation. </li></ul>Preferred Qualifications <ul><li>Experience conducting research within the digital health, telemedicine, healthcare technology, or virtual care industry.</li><li>Experience evaluating digital health interventions within academic, clinical, or healthcare settings.</li><li>Demonstrated history of research impact through publications, presentations, or customer-facing evidence generation.</li><li>Experience applying Implementation Science methodologies, including:</li><li>Normalization Process Theory (NPT)</li><li>Consolidated Framework for Implementation Research (CFIR)</li><li>Exploration, Preparation, Implementation, Sustainment (EPIS)</li><li>Similar implementation and evaluation frameworks. </li></ul>Do Well. Live Well. At Amwell. Driven by our mission and values, we foster a workplace where Delivering Awesome, being Customer First and operating as One Team aren&#x2019;t just aspirations &#x2013; they are how we work, every day. Our people are our greatest asset. We strive to empower their growth and development not only as Amwellians but as individuals, through generous total rewards packages, a virtual-first work environment, work-life flexibility, including Summer Fridays and designated Mental Health Days, as well as opportunities to stretch and learn &#x2013; to name a few. It&#x2019;s our people who truly differentiate us. Ask anyone and they&#x2019;ll tell you &#x2013; you&#x2019;ll never work with more passionate, more driven and more caring team members. We champion a culture of respect and inclusion, accountability and integrity, innovation and collaboration. At Amwell, you&#x2019;ll do the most meaningful work of your career&#x2014;improving healthcare for millions, growing alongside incredible teammates, and being valued for who you are. Benefits <ul><li>23 days annual leave + 1 birthday day + 4 Mental Health days</li><li>Private Health Care &#x2013; Irish Life</li><li>Pension</li><li>Life Insurance</li><li>Income Protection</li><li>Healthy work-life balance &#x2013; wellness days and a supportive working environment</li><li>Employee Share Purchase Plan (ESPP)</li><li>Free access to Amwell&#x2019;s Telehealth Services, SilverCloud and The Clinic by Cleveland Clinic&#x2019;s second opinion program</li><li>Free Subscription to the Calm App</li><li>Tuition Assistance Program </li></ul>Salaried Roles The typical base salary range for this position is &#x20AC;45700 - &#x20AC;50.000 Annually. The actual salary offer will ultimately depend on multiple factors including, but not limited to, knowledge, skills, relevant education, experience, complexity or specialization of talent, and other objective factors. In addition to base salary, this role may be eligible for an annual bonus based on a combination of company performance and employee performance. Long-term incentive and short-term variable compensation may be offered as part of the compensation package dependent on the role. Some roles may be commission based, in which case the total compensation will be based on a commission and the above range may not be an accurate representation of total compensation. Further, the above range is subject to change based on market demands and operational needs and does not constitute a promise of a particular wage or a guarantee of employment. Your recruiter can share more during the hiring process about the specific salary range based on the above factors listed. Fraud Prevention Notice As part of Amwell&apos;s commitment to maintaining a secure and trusted hiring process, Amwell uses fraud detection capabilities within its hiring platform to help identify potentially suspicious, fraudulent, or unauthorized activity during the recruitment process. These tools are designed to help protect candidates, Amwell, and the integrity of the hiring process by identifying indicators that may be associated with impersonation, account misuse, or other forms of recruiting fraud. Information generated through fraud detection is reviewed by authorized personnel and is not used as the sole basis for hiring decisions. Personal information collected or processed in connection with fraud detection will be handled in accordance with applicable data protection laws and Amwell&apos;s Applicant Privacy Notice. Identity Verification Requirement As part of Amwell&apos;s commitment to maintaining a secure and trusted hiring process, candidates may be asked to complete an identity verification step through Greenhouse Identity Verification powered by CLEAR during the interview process. Identity verification is used solely to confirm a candidate&apos;s identity and help prevent fraud and impersonation within the hiring process. It is not a background check and does not independently determine hiring decisions. Participation in identity verification is requested for this role but is not mandatory. Candidates who prefer not to participate may request to opt out of the identity verification process. Requests to opt out will be reviewed through Amwell&apos;s exception process, and alternative handling may be considered based on the requirements of the role and other relevant factors. Opting out of identity verification does not automatically remove a candidate from consideration. As part of the identity verification process, certain personal information may be collected and processed by Amwell and its service providers for identity verification and fraud prevention purposes. Additional information regarding the collection, use, processing, and protection of personal information is available in Amwell&apos;s Applicant Privacy Notice. Identity verification services are provided by CLEAR, which will provide additional information and obtain any required authorizations directly from candidates before processing identity verification information. https://business.amwell.com/company/privacy-notice-EU-UK-applicants Privacy Notice

Digital Health Scientist

Our Story TopDog Law is not your typical law firm. We&apos;re a nationally scaling personal injury firm built for impact and growth &#x2014; owning the client experience end-to-end, from marketing and intake through litigation. We believe that world-class marketing, paired with exceptional legal talent and operations, creates better experiences and outcomes for clients and the business alike. Over the past three years, we&apos;ve grown 2&#x2013;3x year over year, setting a new standard on the marketing side of the personal injury space and proving what&apos;s possible when strategy, speed, and execution align. Now we&apos;re applying that same discipline and innovation to firm operations, case management, and national scale &#x2014; intentionally building the infrastructure, systems, and teams to grow without sacrificing quality, culture, or accountability. We are a fully remote team that share trust, open communication, and a commitment to doing great work. If you love ownership, thrive in a fast-moving environment, and want to help build something exceptional, you&apos;ll feel right at home here. The Opportunity TopDog Law is one of the fastest-growing law firms in the U.S., blending cutting-edge technology, data driven decision-making, and elite legal talent to deliver exceptional outcomes for our clients. We are seeking a Sr Analyst, Law Firm Analytics to join our team who combines strategic judgment, analytical depth, and technical capability to elevate how data informs decision making across the organization. This is not a traditional back-office analytics role. The Analyst, Underwriting Analytics will support the team responsible for forecasting expected case value and modeling case outcomes, work that directly shapes operational and marketing decisions across the organization. This role focuses on executing rigorous data analysis across the case portfolio, maintaining and improving valuation models, and translating findings into clear, reliable outputs the broader business can act on. What You Will Own Technical &amp; Analytical Execution <ul><li>Write and optimize SQL queries to support case valuation modeling, reporting automation, and underwriting analysis</li><li>Leverage SQL, Excel/PowerPivot, Python, AI and other analytics tools to build and maintain reliable, scalable reporting</li><li>Apply structured problem-solving to well-defined and moderately ambiguous underwriting and case valuation questions</li><li>Stay informed on emerging analytics and AI capabilities that can enhance underwriting analytics practices </li></ul>Analytics and Reporting <ul><li>Build and maintain dashboards and reports that provide clarity to underwriting and operational leaders</li><li>Serve as an analytical resource supporting case valuation forecasting (CVFO) and related modeling across case types and segments</li><li>Support the definition and upkeep of KPIs used to monitor underwriting accuracy and case portfolio performance </li></ul>Performance Monitoring &amp; Insight Generation <ul><li>Analyze case outcomes, conversion rates, and portfolio performance against underwriting assumptions</li><li>Help identify discrepancies, trends, and anomalies across case types, states, and lead segments</li><li>Translate data findings into clear summaries and recommendations for the </li></ul>Underwriting Analytics Team <ul><li>Support forecasting and reconciliation work tied to case volume, vintage performance, and portfolio composition</li><li>Contribute ideas to improve existing models, queries, and processes&#x2014;not just maintain them as-is </li></ul>Required: What You Bring <ul><li>Strong analytical and problem-solving mindset with attention to detail</li><li>1-3 years of experience in business analytics, data operations, or a related quantitative field</li><li>Solid SQL skills with the ability to write and troubleshoot moderately complex queries against large datasets</li><li>Proficiency with Excel, including PowerPivot/DAX; exposure to Python or R is a plus</li><li>Ability to manage multiple priorities and meet deadlines in a fast-paced environment</li><li>Clear communication skills with the ability to present findings to both technical and non-technical audiences</li><li>High commitment to data integrity and accuracy</li><li>Thrives in a fast-paced, performance-driven, high-growth environment</li><li>Intellectual curiosity and an ownership mindset</li><li>Ability to take direction, prioritize effectively, and execute with speed </li></ul>Who Thrives Here (Core Values) We don&apos;t hire on resumes alone. We hire for competence, character, and mindset. <ul><li>Embrace Change: Open to feedback, embracing change, and always asking &quot;what&apos;s next?&quot;</li><li>Committed: You care deeply, have your teammates&apos; backs, and show up to build something lasting.</li><li>No-Ego Energy: Positive, professional, and solutions-oriented. Drama stays at the door.</li><li>Ownership: You do what you say, follow through, and treat the business like it&apos;s yours.</li><li>Fast &amp; Hungry: You move with urgency, thrive under high expectations, and are motivated by growth and impact. </li></ul>What We Offer <ul><li>Base Salary: $70,000.00 and $110,900.00 per year, commensurate with experience</li><li>Our job postings reflect the compensation range for the specific market and location of each role. Ranges vary by geography based on local market rates and cost of labor.</li><li>Benefits include: Medical, dental, and vision insurance, 401(k) with company match, HSA, life insurance, disability coverage, paid time off, and parental leave. </li></ul>Equal Opportunity Employer We are an equal opportunity employer. Employment selection and related decisions are made without regard to age, race, color, national origin, religion, sex, disability, sexual orientation, gender identification, or being a qualified disabled veteran or qualified veteran of the Vietnam era or any other category protected by Federal or State law. DISCLAIMER: TopDog Technologies, Inc. [TopDog Law, P.A.] [TopDog Law SE, PLLC] (&quot;TopDog&quot;) may use artificial intelligence (AI) and automated decision-making tools to assist in screening and evaluating candidates for employment positions, including whether to advance a candidate in the application process. These tools assess job-related qualifications and characteristics&#x2014;such as work experience, education, and skills relevant to the position as described in the job posting&#x2014;based on information you provide in your application materials (e.g., resume, application responses, and other submitted materials, if any). All adverse decisions affecting your candidacy are reviewed by a human member of our Talent Acquisition team before being finalized. AI does not make the final decision on your candidacy. If You Have Questions About This Notice, Wish To Request Additional Information About How AI Was Used In a Decision Affecting You, Wish To Request Correction Of Inaccurate Data, Or Need a Reasonable Accommodation That Is Required By Law Regarding TopDog Law&apos;s Use Of These Tools, Please Contact: Talent Acquisition Department | [recruitment@topdoglaw.com](mailto:recruitment@topdoglaw.com)

Analyst, Underwriting Analytics

Why We Exist Your car and your home are your most important assets, yet the experience of owning them is stuck in the 90s. Every part of the journey &#x2014; buy/sell, insurance, maintenance, repairs &#x2014; is fragmented, complicated, and expensive. Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We&apos;ve reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We&apos;re now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We&#x2019;re Hiring Our Data Science &amp; Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data &amp; insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a Data Science team member embedded within it &#x2014; someone who doesn&apos;t just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As Our Business Continues To Expand, There Is Growing Demand For More Data Science Team Members. We Are Hiring 4-6 People To Drive Impact In These Areas <ul><li>Growth Marketing </li><li>Product Development</li><li>AI &amp; Automation</li><li>Strategic Partnerships </li></ul>On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won&apos;t) Like Working Here <ul><li>No slides: If you&apos;ve worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn&apos;t exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business &#x2014; an important product, a new growth channel, a key metric, a critical partner relationship, etc. </li><li>No corporate fluff: The Data Science &amp; Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. </li><li>Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. </li></ul>What You&apos;ll Own You&apos;ll sit on our central Data Science &amp; Analytics team but you&#x2019;ll be embedded in one of Jerry&apos;s core business areas &#x2014; growth, product, AI and automation, strategic partnerships &#x2014; and own the analytical function for that business unit end-to-end. <ul><li>Define the right problems: Before any analysis, understand what business question it&apos;s answering and what decision it will inform. Push back if the question is flawed.</li><li>Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team&apos;s key metrics.</li><li>Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what&apos;s happening and why, and what next steps should be. </li></ul>Who You Are <ul><li>First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You&apos;re analytically strong (comfortable with SQL or Python) but your instinct is to ask &quot;what are we trying to solve here?&quot; before jumping to &quot;what should I build?&quot; </li><li>Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don&apos;t bury the lede.</li><li>Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it&#x2019;s outside of your swim lane. </li></ul>What You&apos;ll Bring <ul><li>2+ years of experience at a consulting firm, investment bank, or high-growth technology company.</li><li>Strong analytical skills; ability to pull, structure, and interpret data independently.</li><li>Track record of owning ambiguous problems and delivering impact.</li><li>Clear, persuasive communicator who can influence decisions at the leadership level. </li></ul>Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, due to the volume of applications we receive, only applicants under consideration will be contacted. Please note: Jerry.ai is only able to hire full-time salaried employees who currently reside in AZ, CA, CO, FL, GA, IL, MA, NC, NJ, NV, NY, OR, TN, TX, UT, VA, or Ontario, Canada, and full-time hourly employees who currently reside in AZ, FL, GA, NV, NY, NC, TN, TX, UT, or VA. Unfortunately, we cannot accept applications from candidates residing elsewhere at this time. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai The successful candidate&#x2019;s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry is building the first AI-powered advisor to manage all your physical assets. Your car, home, and motorcycle aren&apos;t just purchases, they&apos;re the physical embodiment of the life you&apos;ve worked hard to build. Yet the experience of owning them is stuck in the 90s. Every step of the journey &#x2014; buying, insuring, maintaining, repairing, selling &#x2014; is fragmented, complicated, and expensive. Imagine having a trusted friend in your pocket who takes care of everything: they find you the right car or home at the right price, lock in the best insurance rate without you lifting a finger, remind you before that service appointment turns into an expensive repair, and help you sell at the best price when the time is right. That friend is Jerry. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We&apos;ve reached 5M+ customers, raised $240M+, and achieved profitability in 2024. We&apos;re now expanding into home, motorcycle, RV, and beyond. Led by serial entrepreneurs and backed by Y Combinator, our team comprises talented and big-hearted leaders from places like Nvidia, Meta, Amazon, BCG, McKinsey, Bain, and GEICO. Our culture is the #1 reason people join Jerry and stay &#x2014; we are a small and mighty team of competitive but kind people who think and act like owners, care deeply about the quality and impact of our work, and are relentless in our pursuit of learning and mastery over our craft. We are proud to consistently rank as one of Y Combinator&apos;s Top Companies, Forbes and Statista&apos;s Best Startup Employers, and to have received other accolades in fintech and insurtech innovation, workplace culture, and leadership. We are a remote-first company, but if you prefer in-person or hybrid, we also have offices in Palo Alto, New York City, Chicago, and Toronto.

IDR is seeking a Sr Insights Analyst to join one of our top clients for a remote opportunity.&#xA0;This role is ideal for someone with a strong background in data analytics, visualization, and talent insights, supporting strategic HR and business decisions through advanced reporting and analytics solutions. The organization is a leader in the industry, focusing on leveraging data to optimize workforce strategies.Position Overview for the Sr Insights Analyst:<ul><li>Leverage data, analytics, and predictive modeling to deliver actionable workforce insights.</li><li>Partner with HR and business leaders to develop dashboards, advanced analytics, and self-service reporting solutions.</li><li>Use tools such as SQL, Alteryx, and Power BI to create impactful data visualizations.</li><li>Lead high-impact analytics initiatives to enhance talent strategies and improve business outcomes.</li><li>Translate complex data into compelling stories that inform strategic decision-making.</li></ul>Requirements for the Sr Insights Analyst:<ul><li>3+ years using data transformation tools such as Alteryx.</li><li>3+ years in using SQL to query large datasets.</li><li>2+ years of solutioning, preparing, and visualizing data for non-technical stakeholders using Power BI (report creation, DAX, power query, and data modeling).</li><li>Experience using RStudio or Python for automation or data processing such as statistical modeling, machine learning, or data mining.</li><li>Strong analytical and quantitative problem-solving ability.</li></ul>What&apos;s in it for you?<ul><li>Competitive compensation package</li><li>Full Benefits; Medical, Vision, Dental, and more!</li><li>Opportunity to get in with an industry leading organization.</li></ul>Why IDR?<ul><li>25+ Years of Proven Industry Experience in 4 major markets</li><li>Employee Stock Ownership Program</li><li>Dedicated Engagement Manager who is committed to you and your success.</li><li>Medical, Dental, Vision, and Life Insurance</li><li>ClearlyRated&apos;s Best of Staffing&#xAE; Client and Talent Award winner 12 years in a row.</li></ul>

Sr Insights Analyst

<ul><li>Role: Financial Data Analyst (Remote)</li><li>Location: Remote (United States)</li><li>Employment Type: Full-Time</li></ul> Job Overview:We are looking for a Financial Data Analyst who bridges the gap between financial theory and data engineering by creating automated financial dashboards and managing database pipelines. What You&apos;ll Do:<ul><li>Extract, clean, and analyze financial data using SQL, Python, or R.</li><li>Build automated dashboards in Tableau or Power BI for financial reporting.</li><li>Identify anomalies in large financial datasets and propose technical corrections.</li><li>Automate recurring manual financial reports to improve operational efficiency.</li><li>Collaborate with data engineering teams to refine financial data structures.</li></ul> What We&apos;re Looking For:<ul><li>Bachelor&#x2019;s degree in Data Analytics, Computer Science, Finance, or Statistics.</li><li>2+ years of experience analyzing large-scale financial data.</li><li>Strong proficiency in SQL and BI tools (Power BI, Tableau, Looker).</li><li>Solid understanding of foundational accounting and financial principles.</li></ul> Core Competencies for Success:<ul><li>Analytical Thinking: Ability to translate complex financial data into clear, actionable narratives.</li><li>Adaptability: Comfort working independently and thriving in a fast-paced, fully remote environment.</li><li>Attention to Detail: Commitment to maintaining 100% accuracy in financial reporting and compliance.</li><li>Cross-Functional Collaboration: Skill in presenting financial insights to non-technical stakeholders.</li></ul> Why You&#x2019;ll Love Working With Us:<ul><li>Remote-First Culture: We believe you do your best work when you have the flexibility to work from where you are most productive.</li><li>Meaningful Impact: You aren&apos;t just crunching numbers; your insights will directly influence our strategic growth.</li><li>Continuous Learning: We encourage professional development and support continuous learning in the ever-evolving finance sector.</li></ul> Equal Opportunity EmployerWe hire based on skills, expertise, and qualifications. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are evaluated based on demonstrated expertise and suitability for the role. Apply Now!

Financial Data Analyst (Remote)

<h3>About <a href="https://jobicy.com/company/pleo" target="_blank" rel="noopener">Pleo</a></h3>
Messy spend management is tricky business. And tedious processes are a lose-lose situation for all involved, not just finance. At Pleo, we're changing that. We build spend solutions that make managing money seamless, empowering, and surprisingly effective for finance teams and employees alike - with a vision to help all businesses ‘go beyond’.
The word ‘Pleo’ actually means ‘more than you’d expect’, and living by that mantra has been the secret to our success over the last 10 years.
Now, we’re at a pivotal moment in our journey; every move we make has a direct impact on our 40,000+ customers, our business, and our collective success. We need people who take pride in uncovering customer needs, who turn complex problems into simple solutions, challenge the way things are done (respectfully), and always aim high. With great ambitions driving us forward, we can’t say we’ve got this whole thing figured out. And frankly, that’s half the fun! What we can say is that we’re a driven, progressive, and, importantly, a kind bunch of 850+ people from over 100 nationalities, all committed to delivering the future of business spending, together.
<h3>About the role</h3>

Please note: applications will be open until Friday 2nd October 2026 at 08.00 CEST. We will not review any applications before the closing window so please don't rush and take the time you need to submit a high quality application. 
Growth Intelligence owns the commercial data layer that powers Pleo's GTM engine from acquisition, retention and, propensity modelling to customer health. The team supports RevOps, Customer Experience, Customer Success, and senior commercial leadership with the data and models they need to make faster, smarter decisions.
As a Senior Full Stack Data Analyst, you sit at the intersection of commercial analytics and customer intelligence. You build end-to-end analytics solutions (retention models, growth analyses, activation funnels, and GTM dashboards) that directly influence how Pleo acquires, onboards, retains, and grows its customer base.

<h3>Who you'll work with</h3>
You will report to the Senior Manager of the Growth Intelligence team. You will partner primarily with Customer Experience, Sales, and Success teams. You will also work closely with the onboarding and self-serve product teams as well as colleagues across Growth Intelligence and the broader data community, including Data Scientists in your team and Analytics Engineers who own the modelling layer your analysis depends on.
For extra context, you'll also be leveraging technologies including SQL, dbt, BigQuery, Looker, Amplitude, HubSpot, Zuora, or Vitally.

<h3>What you'll be doing</h3>
<ul>
<li>
Build and maintain the analytics layer for customer acquisition, onboarding, growth, and retention: propensity models, growth dashboards, activation funnels, and the commercial reporting GTM teams depend on day-to-day.
</li>
<li>
Partner with Customer Experience, Sales, and Success teams to understand their data needs and deliver dashboards and analyses that drive operational decisions.
</li>
<li>
Conduct in-depth analysis of customer behaviour, commercial performance, and retention patterns to surface trends, risks, and growth opportunities (owning the insight and narrative, not just the output).
</li>
<li>
Support the onboarding and self-serve product teams with data on activation, engagement, and friction, translating product behaviour into insights that improve the customer journey.
</li>
<li>
Design and analyse experiments to test growth hypotheses and optimise key commercial metrics within Pleo's experimentation methodology, ensuring statistical rigour.
</li>
<li>
Build analytics explicitly designed for self-serve and AI access 
</li>
<li>
Contribute metric definitions and domain knowledge to the semantic layer, working with Data Services &amp; Governance to ensure GTM metrics are consistently defined across BI tools and AI tooling.
</li>
<li>
Engage with data colleagues across Intelligence to share knowledge, maintain standards, and contribute to a culture of craft.
</li>
</ul>
<h3>What you bring</h3>
<ul>
<li>
Proven experience working across both insights generation and analytics engineering in a SaaS environment (fintech is a big plus).
</li>
<li>
Solid proficiency with Python, SQL and dbt: you write clean, tested models, understand layered architecture, can manipulate and analyse data to uncover insights.
</li>
<li>
BigQuery experience, including complex transformations and performance considerations.
</li>
<li>
BI tool proficiency such as Looker and LookML
</li>
<li>
Commercial mindset: you understand GTM metrics, customer lifecycle stages, and how data connects to revenue outcomes.
</li>
<li>
Strong data visualisation skills: you build dashboards that GTM stakeholders actually use, not just ones that look good.
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<li>
Understanding of how analytics outputs serve AI tools and self-serve analytics as first-class consumers: you design for machine access as well as human access, and know why metric consistency matters as AI tooling scales.
</li>
<li>
Comfort with Git-based workflows and CI/CD practices for analytics code.
</li>
<li>
Strong ownership and delivery discipline: you manage multiple projects with close attention to detail and follow through.
</li>
<li>
Solid understanding of data contracts: schema agreements, ownership, and SLAs between data producers and downstream consumers.
</li>
</ul>
<h3>This role is not a good fit if</h3>
<ul>
<li>
You prefer to specialise deeply in one area rather than wear multiple hats. This role requires you to move between analysis, analytics engineering, experimentation, and stakeholder management.
</li>
<li>
You are not comfortable engaging directly with demanding commercial stakeholders and translating their needs into data solutions without a fully defined brief. You'll often need to shape the question as much as answer it.
</li>
<li>
You need clean problem definitions before you can start. The commercial data environment here is genuinely complex. Definitions evolve, ownership is shared, and the right answer sometimes requires negotiation as much as analysis.
</li>
</ul>
<h3>Your first 6 months</h3>
By the end of your first six months, you'll have built things that GTM teams are actively relying on.
<ul>
<li>
Growth Intelligence's core analytics layer: activation funnels, customer health reporting, retention signals will be in better shape than when you arrived. You'll know which models and dashboards matter most, where the gaps are, and have fixed at least some of them in ways that reduce manual work for RevOps, CS, and CX.
</li>
<li>
You'll have contributed real metric definitions to the semantic layer, agreed with Data Services &amp; Governance on what canonical GTM metrics actually are, and made that stick downstream. Analysts and AI tools will be getting consistent answers rather than each team maintaining their own version.
</li>
<li>
You'll have a genuine working relationship with the commercial stakeholders you serve — RevOps, Customer Experience, Customer Success — and they'll have a clear sense of what to bring to you and what to expect back.
</li>
<li>
And you'll have shipped at least one piece of analysis or tooling that changed a commercial decision or enabled something that wasn't possible before, not just improved the plumbing, but unlocked actual use.
</li>
</ul>
<h3>Show me the benefits</h3>
<ul>
<li>
Your own Pleo card (no more out-of-pocket spending!)
</li>
<li>
Lunch is on us for your work days - enjoy catered meals or receive a lunch allowance based on your local office
</li>
<li>
Comprehensive private healthcare - depending on your location, coverage options include Vitality, Alan or Médis
</li>
<li>
25 days of annual leave + public holidays (additional days may apply in select countries based on local standards).
</li>
<li>
For our Team, we offer both hybrid and fully remote working options
</li>
<li>
We use MyndUp to give our employees access to free mental health and well-being support with great success so far
</li>
<li>
Paid parental leave - we want to make sure that we're supportive of families and help you feel that you don't have to compromise your family due to work
</li>
</ul>
<h3>The interview process</h3>
We want to ensure you are set-up for success and understand what will be expected of you. If your application is successful, our interview process is as follows:
<ol>
<li>
Intro call: A 30-minute chat with our Talent Partner to discuss the role and your background.
</li>
<li>
An async core skills test assessing your SQL fundamentals
</li>
<li>
Hiring Manager interview: A 60-minute experience-based interview to deep dive into your domain knowledge and technical experience.
</li>
<li>
Pleo Challenge: A live technical case interview designed to assess your technical expertise around data modeling, manipulation and insights generation.
</li>
</ol>
Transparency is important to us so we also wanted to share some insights about what we’re looking for in applications to ensure you can set yourself up for success!
With this in mind, we want to help you understand what we really care about when reviewing your application:
<ul>
<li>
We receive a lot of CVs, and many of them are AI-generated. We love seeing people leverage AI - it’s a big focus for us internally too- but without human intervention, these CVs can sometimes become generic and fail to show a candidate in the best light. What we're really looking for is the specific details of real impact that only you - not AI - know from your previous experience. A top tip from us is to use the “Achieved X, as measured by Y, by doing Z” formula (credit: Laszlo Bock, ~2014) to give a really clear picture of what you’ve worked on. A final note: including links to your previous companies' websites is a huge help and allows us to truly understand your background.
</li>
<li>
Every single application we receive is reviewed by a human (yes, hundreds of them) because we believe that candidates' efforts should be matched by an equal level of human care. This means that we expect a similar level of attention put into your application. Read and answer the application questions carefully, they make a huge difference in our decision-making process.
</li>
</ul>
<h3>About your application</h3>
<ul>
<li>
English first. Since it's our company language, please submit your application in English. You’ll be using it a lot if you join us.
</li>
<li>
A fair look for everyone. Our talent team reads every single application to ensure the process is fair. To keep things running smoothly, we only accept applications through our system—our support team can’t pass on calls or emails.
</li>
<li>
Diversity drives us. We can only reach our goals if our team reflects the world around us. That starts with you hitting apply, even if you don't tick every single box. We encourage people from all backgrounds and experiences to join us.
</li>
<li>
Interview at your best. We want you to feel comfortable throughout the process. If you have any accessibility requirements or need a specific format, email belonging@pleo.io. We’ll design a process that works for you.
</li>
<li>
Your data is safe. When you apply, we process your personal data as a data processor. For more information on how Pleo processes personal data, read our Privacy Policy <a href="https://www.pleo.io/en/legal" rel="nofollow ugc noopener" target="_blank">here</a>.
</li>
<li>
Applying for multiple roles? Nothing is stopping you, and we assess every role independently. However, we do look for alignment, so make sure you can explain why your interest and experience are right for each specific role.
</li>
<li>
Reapplying. If you’re applying for the same role again, please wait six months from your last decision before hitting submit.
</li>
</ul>

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