Senior Data Scientist, Ads Integrity

<h2>Who we are:</h2><p>Sardine is the leading agentic risk platform for fighting financial crime. Our integrated solution unifies data across risk teams to help organizations stop fraud in real time, prevent AI-driven attacks, and automate fraud and AML operations. Sardine’s platform is strengthened by one of the fastest-growing fraud consortiums in the market, spanning more than 6 billion profiled devices, 800 million consumers, and 3 million businesses worldwide. Leading companies including FIS, GoDaddy, Intuit, Edward Jones, ZoomInfo, and Checkout.com rely on Sardine to secure and grow trust in their products.</p><h2>Our culture:</h2><ul><li><p>We have hubs in the Bay Area, NYC, Austin, Toronto, and São Paulo. However, we maintain a remote-first work culture. #WorkFromAnywhere</p></li><li><p>We hire talented, self-motivated individuals with extreme ownership and high growth orientation. </p></li><li><p>We value performance and not hours worked. We believe you shouldn't have to miss your family dinner, your kid's school play, friends get-together, or doctor's appointments for the sake of adhering to an arbitrary work schedule.</p></li></ul><h2>Location:</h2><ul><li><p>Remote - United States or Canada</p></li><li><p>From Home / Beach / Mountain / Cafe / Anywhere!</p></li><li><p>We are a remote-first company with a globally distributed team. You can find your productive zone and work from there.</p></li></ul><h2>About the role</h2><p>We are looking for a Senior Data/ML Engineer to own the data and machine learning foundation that Sardine's compliance decisions run on. Every onboarding decision we make — a payment approved, an account blocked, a KYC case escalated — is the output of a pipeline someone built. This role owns those pipelines end to end: how data arrives, how it becomes a feature, how that feature becomes a model, and how that model stays correct in production.</p><p>This is a high-impact, highly technical IC role sitting at the intersection of data engineering and ML engineering. We need someone at the senior level to set technical direction for the next order of magnitude: new feature generation, build specific models around KYC onboarding, in house entity matcher for the sanctions and more</p><p>You will write production code, make architectural calls that outlive your tenure, and raise the bar for how a small team ships fraud ML. You will work directly with data scientists, backend engineers, and the fraud analysts who use what you build.</p><h2>What you'll be doing</h2><ul><li><p>Own the data ingestion layer that brings device telemetry, transaction events, KYC/identity signals, and third-party enrichment into the platform — designing streaming pipelines (Pub/Sub, Apache Beam on Dataflow, Flink) and batch pipelines (Python, Airflow on Cloud Composer, Spark on Dataproc) that are correct, observable, and cheap to extend.</p></li><li><p>Build and evolve our feature platform, where the same Chronon feature definitions are computed by Flink for streaming and Spark for batch, with aggregation windows from one hour to 300 days, served to the rules engine and to models under a sub-second budget.</p></li><li><p>Establish feature correctness as an engineering discipline: streaming-versus-batch reconciliation, recomputation tests against the warehouse, train/serve parity checks, and drift monitoring that catches a broken feature before an analyst does.</p></li><li><p>Productionize fraud and identity ML models — training pipelines on Vertex AI and Kubeflow, gradient-boosted and tree-based models (XGBoost, LightGBM, CatBoost, scikit-learn), hyperparameter search, SHAP-based explanations, and score normalization — and build the automated retraining, champion/challenger promotion, and rollback machinery we don't yet have.</p></li><li><p>Engineer KYC, AML, and identity risk signals: document verification and doc-KYC outcomes, sanctions/PEP/adverse-media screening results, email and phone risk, synthetic identity indicators, bank and account verification, and periodic customer due diligence — turning noisy, multi-vendor, multi-jurisdiction data into features a model can actually learn from.</p></li><li><p>Integrate and harden new data sources, including 30+ third-party enrichment providers called in parallel on the request path, plus our cross-client consortium network — owning failover behavior, timeout budgets, graceful degradation, caching, and cost.</p></li><li><p>Own the warehouse and modeling layer in BigQuery — partitioning strategy, the staging-to-mart layer cake, training datasets, and the in-flight migration off dbt onto scheduled SQL and Python pipelines.</p></li><li><p>Design the entity resolution and graph data that link customers, devices, emails, phones, cards, bank accounts, and crypto addresses across clients, including large-scale connected-components work.</p></li><li><p>Make the platform safe by construction: field-level encryption for sensitive identifiers, regional data residency enforced in the pipeline definitions, PII handling and deletion paths, and feature-level gating so a bad signal can be turned off without a deploy.</p></li><li><p>Set technical direction and raise the team's ceiling — write the design docs, run the reviews, mentor engineers and data scientists, and decide what we build versus buy.</p></li></ul><h2>What you'll need</h2><ul><li><p>8+ years building production data and ML systems, with real ownership of both the pipeline side and the model side. You have shipped models that made consequential automated decisions, not just dashboards.</p></li><li><p>Deep Python and strong SQL. You are fluent in a distributed processing framework (Spark, Beam, or Flink) and comfortable reasoning about streaming semantics — windowing, watermarks, late data, exactly-once versus at-least-once, and where correctness actually breaks.</p></li><li><p>Hands-on experience with a modern cloud data stack: GCP strongly preferred (BigQuery, Dataflow, Dataproc, Pub/Sub, Bigtable, Composer, Vertex AI) or the AWS equivalents, plus Docker, Kubernetes, Terraform, and CI/CD.</p></li><li><p>Practical ML engineering depth: feature stores and feature pipelines, training/serving skew, gradient-boosted tree models, class imbalance and rare-event modeling, threshold and cost-sensitive tuning, model monitoring and drift detection, and explainability.</p></li><li><p>Experience with high-volume, low-latency serving where a feature fetch has a few hundred milliseconds and there is no retry budget.</p></li><li><p>Domain experience in fraud, risk, payments, lending, or identity/KYC — or the demonstrated ability to get fluent in a regulated domain fast. You understand why label latency, feedback loops, and adversarial drift make fraud modeling different from ordinary supervised learning.</p></li><li><p>Comfort with data governance in a regulated environment: PII, encryption, access control, regional data residency, auditability.</p></li><li><p>Strong written communication. You can explain a modeling tradeoff to a fraud analyst and a pipeline design to a backend engineer, and you write things down.</p></li><li><p>A bias toward action and comfort in ambiguity. Much of this role is deciding what should exist, then building it.</p></li></ul><h2>Bonus points for</h2><ul><li><p>Experience supporting customer-facing ML — bring-your-own-model integrations, model explainability for adverse action or regulatory review, or shadow/challenger scoring frameworks.</p></li><li><p>Experience in high-growth B2B SaaS, or as an early data/ML hire who built the function rather than inherited it.</p></li></ul><h2>Benefits we offer:</h2><ul><li><p>Generous compensation in cash and equity</p></li><li><p>Early exercise for all options, including pre-vested</p></li><li><p>Work from anywhere: Remote-first Culture</p></li><li><p>Flexible paid time off and Year-end break</p></li><li><p>Health insurance, dental, and vision coverage for employees and dependents - <em>US and Canada specific</em></p></li><li><p>4% matching in 401k / RRSP - <em>US and Canada specific</em></p></li><li><p>MacBook Pro delivered to your door</p></li><li><p>One-time stipend to set up a home office — desk, chair, screen, etc.</p></li><li><p>Monthly meal stipend</p></li><li><p>Monthly social meet-up stipend</p></li><li><p>Annual health and wellness stipend</p></li><li><p>Annual Learning stipend</p></li></ul><p>Join a fast-growing company with world-class professionals from around the world. If you are seeking a meaningful career, you found the right place, and we would love to hear from you.</p><p><em>To learn more about how we process your personal information and your rights in regards to your personal information as an applicant and Sardine employee, please visit our </em><a href='https://www.sardine.ai/applicant-and-worker-privacy-notice'><em>Applicant and Worker Privacy Notice</em></a><em>.</em></p>

AL, AK, AZ, AR, CA, CO, CT, DE, FL, GA, HI, ID, IL, IN, IA, KS, KY, LA, ME, MD, MA, MI, MN, MS, MO, MT, NE, NV, NH, NJ, NM, NY, NC, ND, OH, OK, OR, PA, RI, SC, SD, TN, TX, UT, VT, VA, WA, DC, WV, WI, WY

Data

<h2>Build a Safer World.</h2><p>TRM Labs provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt crime. TRM's platforms enable investigators to trace illicit activity, build cases, and construct operating pictures of threat networks. Leading agencies and businesses worldwide rely on TRM to make the world safer and more secure.</p><p>TRM's Insights team publishes the original research that shapes how journalists, policymakers and investigators understand illicit finance and the crime behind it. As Senior Data Researcher, you will take a topic from question to published piece: gather and pressure-test the evidence, find the story and write it. Few roles anywhere combine intelligence across crime types with full ownership of the public narrative.</p><p><strong>The impact you will have:</strong></p><ul><li><p>Publish original investigative research on the threats that matter most: fraud and scams, sanctions evasion, ransomware and cybercrime, terrorist financing, drug and human trafficking, and the financial networks behind them. Your work holds up under scrutiny from top-tier press and policymakers.</p></li><li><p>Use AI heavily in everything you do. TRM is an AI-native investigative company, so expect to use Claude, ChatGPT and agent-based tools to research, analyze data, stress-test methodology, draft and package each finding for every channel.</p></li><li><p>Lead original research that answers the biggest open questions about crime and the financial networks that power it. Combine TRM's blockchain intelligence with non-crypto sources (sanctions lists, court filings, corporate records, open-source and threat intelligence) to find patterns no one else has connected, then turn them into evidence that holds up.</p></li><li><p>Extend the research beyond the blog. Turn findings into training content for investigators and compliance teams, and pass emerging threat intelligence back to TRM's product and intelligence teams.</p></li></ul><p><strong>What we're looking for:</strong></p><ul><li><p>5 to 8 years combining research or data analysis with published writing, including at least one high-impact investigation you led from evidence-gathering to final piece.</p></li><li><p>Strong analytical skills across varied sources (financial, open-source, court and regulatory records, structured datasets), using AI to speed up and check the work.</p></li><li><p>A public portfolio of investigative or research-led work with measurable reach (major media pickup, citations, audience growth). Investigative journalists, financial crime and threat intelligence researchers, and research-focused writers who do their own analysis have all done well in roles like this.</p></li><li><p>Deep AI fluency: you already rely heavily on AI across research, analysis, drafting and packaging, and you're comfortable running and quality-checking an agent-based production workflow. Experience in financial crime, sanctions, cybercrime, national security or crypto is a strong plus.</p></li></ul><p><strong>About the Team:</strong></p><ul><li><p>Insights is the public voice of TRM's research. It connects TRM's intelligence on illicit finance and crime with the press, policymakers and the wider industry.</p></li><li><p>The work is research-led, focused on the story, fast-moving and AI-native.</p></li><li><p>You'll work closely with Marketing, Communications, TRM's intelligence and investigations teams, product teams, and TRM Academy.</p></li><li><p>The team is small and opinionated, and it owns some of the most visible work TRM produces. Distributed, not distant.</p></li></ul><p><strong>Team Operating Rhythms:</strong></p><ul><li><p>Weekly Insights research review to set priorities and look at work in progress.</p></li><li><p>A weekly working session with Marketing to plan distribution and timing.</p></li><li><p>Async by default for drafts and methodology review. Meetings are for editorial decisions and launch planning.</p></li><li><p>The research and content workflow runs continuously, and you manage it day to day and week to week.</p></li></ul><p><strong>Learn about TRM Speed in this position:</strong></p><ul><li><p>Measurable example #1: Within 30 days, you publish your first piece of original data-backed research on TRM's blog, with a Marketing push behind it.</p></li><li><p>Measurable example #2: Within 60 days, you take a topic you picked through the full cycle (research, narrative, distribution) and show measurable gains in media coverage.</p></li><li><p>Measurable example #3: Within 90 days, you run the research and content workflow end to end, and your research feeds weekly training sessions for TRM Academy instructors.</p></li></ul><p><strong>The following represents the expected range of compensation for this role:</strong></p><ul><li><p>Individual pay is determined by skills, qualifications, experience, and location. The compensation details listed in this posting reflect the US base salary only.</p></li><li><p>The estimated base salary range for this role is $160,000 - $180,000</p></li><li><p>Additionally, this role may be eligible to participate in TRM’s equity plan.</p></li><li><p>Please note – we factor in the different costs for geographies outside the United States.</p></li></ul><p><strong>Work Week Travel: </strong>This role requires participation in in-person R&D work weeks, typically 1–2 times per quarter, at a TRM hub or other designated location. Work weeks may be scheduled with as little as 14 days’ notice, and some roles may require additional travel based on team and cross-functional needs. TRM coordinates and covers approved travel, lodging, and workspace. Accommodations are available for legitimate caregiving, health, immigration, and similar constraints.</p><h2>Application Instructions</h2><p>If you’re interested in joining TRM, we encourage you to apply directly. Every application is reviewed by our Talent team.</p><p>Before applying, review the job description carefully and highlight the experience and impact that best demonstrate the required qualifications. Please also provide thoughtful and accurate answers to the application questions, as these will be used to evaluate your skills and qualifications for the role.</p><p>If you send your resume directly to someone at TRM, we can’t guarantee it will reach the appropriate hiring team. Applying directly is the best way to ensure your application will be considered.</p><h2>Interviewing with TRM</h2><p>Our process is designed to understand how you think, solve problems, and deliver impact, while allowing you to evaluate TRM. Most interview processes include a case study, an AI skills assessment, and a Leadership Principles interview.</p><ul><li><p><strong>Recruiter Intro:</strong> Qualifications, motivations, and alignment with the role.</p></li><li><p><strong>Hiring Manager:</strong> Deep dive into your relevant experience, skills, and impact.</p></li><li><p><strong>First Round:</strong> 1–2 interviews focused on the skills most critical to the role.</p></li><li><p><strong>Final Round: </strong>Hands-on case study. This is usually a panel-style session where we go deeper into your craft, problem-solving, and alignment with TRM.</p></li><li><p><strong>References:</strong> Former colleagues who can provide insight into your work and impact.</p></li><li><p><strong>Offer:</strong> Congrats! Your recruiter will present the offer and compensation details.</p></li><li><p><strong>Welcome to TRM:</strong> We're excited to build a safer world with you!</p></li></ul><p>Your recruiter will share your specific interview plan and preparation guidance along the way.</p><h2>AI Fluency at TRM</h2><p>AI fluency is a baseline expectation at TRM.</p><p>We believe AI meaningfully changes how top performers operate. We expect every team member to use AI to accelerate and reimagine their craft, not just automate surface tasks.</p><p>At TRM, AI fluency means you are among the top 10 percent of operators in your function in how you apply AI to:</p><ul><li><p>Accelerate repeatable workflows</p></li><li><p>Structure and solve problems</p></li><li><p>Improve output quality</p></li><li><p>Increase speed and leverage</p></li></ul><p>You will be evaluated on applied AI fluency during the interview process.</p><h2>Life at TRM</h2><p>We are building a safer world. That promise shows up in how we work every day.</p><p>TRM moves FAST. We are a high-velocity, high-ownership team that expects clarity, follow-through, and impact. People who thrive here are energized by hard problems, experimentation, and continuous feedback. If something takes months elsewhere, it will ship here in days.</p><p>Our work sits at the intersection of AI, national security, and fighting crime. The problems are complex, the stakes are real, and the environment evolves quickly. The pace and intensity of the work reflect the importance of the mission. As a result, the way we operate requires a high level of ownership, adaptability, collaboration, and creative problem-solving.</p><p>At TRM, you should expect:</p><ul><li><p>Priorities and targets to change quickly</p></li><li><p>Operating with a high degree of ambiguity</p></li><li><p>A high level of personal ownership and accountability</p></li><li><p>Close collaboration across teams and functions</p></li><li><p>Frequent, high-touch communication</p></li><li><p>Creative problem-solving and out-of-the-box thinking</p></li><li><p>A pace that rewards urgency, adaptability, and outcomes</p></li></ul><p>This environment is energizing for people who enjoy building, solving hard problems, and making progress in situations that are not always fully defined. It also requires thriving in ambiguity, adjusting course as new information emerges, and maintaining focus and positivity in a fast-moving and intense environment.</p><p>We also recognize that this style of operating is not for everyone. If you are primarily optimizing for predictability or a consistently balanced workload, we encourage you to use the interview process to pressure-test whether this environment is truly the right fit. We want teammates who thrive here, not just survive here.</p><p>If you are excited by meaningful problems, motivated by ambitious goals, and energized by working alongside mission-driven colleagues, there is a good chance you will find TRM to be an exceptional place to grow and contribute. </p><h2>Leadership Principles</h2><p>We hire and grow against three leadership principles. They’re the standards for how we operate, treat each other, and make decisions.</p><ul><li><p>Impact-Oriented Trailblazer: We put customers first and move with speed, focus, and adaptability. We treat every plan like an experiment – test, ship, measure, and iterate quickly.</p></li><li><p>Master Craftsperson: We care deeply about our craft. We balance speed with high standards, own outcomes end‑to‑end, and invest in getting better everyday.</p></li><li><p>Inspiring Colleague: We add clarity and energy, not noise. We bring humility, candor, and a one‑team mindset — giving and receiving feedback to make the team stronger.</p></li></ul><h3></h3><h2>Join our Mission</h2><p>At TRM, we care deeply about our craft. We are looking for individuals who want their work to matter, who experiment with speed and rigor, and who take pride in building a safer world for billions of people. If you’re excited by TRM’s mission but don’t check every box, we encourage you to apply — we hire for slope, judgment, and the will to learn fast.</p><p>TRM is a Series C company with $220M in total funding, backed by Goldman Sachs, Bessemer, Y Combinator, Thoma Bravo, and others. Headquartered in San Francisco, TRM operates as a distributed-first company with hubs in Los Angeles, San Francisco, New York, Washington D.C., London, and Singapore. </p><h3></h3><h2>Privacy Policy and Additional Information</h2><p>By submitting your application, you agree to allow TRM Labs to process your personal information in accordance with our <a href='https://www.trmlabs.com/policies/privacy-policy'>Privacy Policy</a>.</p><p>We collect the information you provide (such as your resume, work history, and contact details) solely for the purpose of evaluating your candidacy for current and future roles at TRM.</p><p>Because our hiring cycles for certain positions may span 24 to 36 months, we retain your personal information for up to 36 months from the date of your application. After that period, your data is deleted unless a different retention period is required or permitted by law.</p><p>If you are located in the European Economic Area, the United Kingdom, or another jurisdiction with applicable data protection laws, you have the right to access, correct, or request deletion of your personal data at any time before that period ends. To exercise any of these rights, contact us at <a href='mailto:[email protected]'>[email protected]</a>.</p><p>To notify TRM Labs that you believe this job posting is non-compliant, please submit a report through this <a href='https://docs.google.com/forms/d/e/1FAIpQLSc6e8jRCl2cQwgIzXLpIGQXtwvMQh__TcokvO2toAAkT44A6Q/viewform?usp=dialog'>form</a>. No response will be provided to inquiries unrelated to job posting compliance.</p><p>The use of AI tools of any kind (including but not limited to notetakers, interview assistants, and real-time coaching tools such as Otter.ai, Fireflies, Fathom, Cluey, or similar) during TRM interviews is not permitted without prior approval from TRM. TRM uses its own internal tools for note-taking to ensure a consistent and confidential experience for all candidates. </p><p>We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this <a href='https://docs.google.com/forms/d/e/1FAIpQLSevmAzPxWOYm_7kMHb9lEJlX3tpdBeHvvvNWjsI_6xhUfnXjw/viewform?usp=dialog'>form</a>.</p><h3>Recruitment agencies</h3><p>TRM Labs does not accept unsolicited agency resumes. Please do not forward resumes to TRM employees. TRM Labs is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company without a signed agreement.</p>

AL, AK, AZ, AR, CA, CO, CT, DE, FL, GA, HI, ID, IL, IN, IA, KS, KY, LA, ME, MD, MA, MI, MN, MS, MO, MT, NE, NV, NH, NJ, NM, NY, NC, ND, OH, OK, OR, PA, RI, SC, SD, TN, TX, UT, VT, VA, WA, DC, WV, WI, WY

Data

<p>Hims & Hers is the leading health and wellness platform, on a mission to help the world feel great through the power of better health. We are redefining healthcare by putting the customer first and delivering access to care that is affordable, accessible, and personal, from diagnosis to treatment to delivery. No two people are the same, so we provide access to personalized care designed for results. By normalizing health & wellness challenges and innovating on their solutions, we’re making better health outcomes easier to achieve. </p><p>Hims & Hers is a public company, traded on the NYSE under the ticker symbol “HIMS.” To learn more about the brand and offerings, you can visit <a href='http://hims.com/about'>hims.com/about</a> and <a href='http://hims.com/how-it-works'><u>hims.com/how-it-works</u></a> . For information on the company’s outstanding benefits, culture, and its talent-first flexible/remote work approach, see below and visit <a href='http://www.hims.com/careers-professionals'><u>www.hims.com/careers-professionals</u></a>.</p><h2>About the Role:</h2><p>As a Senior Data Scientist at Hims & Hers, you are a core driver of technical execution and innovation within our data organization. You take complex business challenges and translate them into robust, scalable data products and machine learning models. You will be trusted to operate with high autonomy, owning your projects from the initial exploratory analysis through to production deployment.</p><p>In this role, you will work closely with Product, Engineering, and Business stakeholders to deliver solutions that optimize our operations, refine our marketing efforts, and enhance the customer experience. You will not only build powerful models but also help uphold the engineering rigor and standards of our data team.</p><h2>You Will:</h2><ul><li><p><strong>Build from Scratch: </strong>Thrive in a 0-to-1 environment. You are comfortable rolling up your sleeves to write complex SQL, engineer your own features, and deploy baseline models (heuristics or simple ML) quickly to prove value before iterating toward complex solutions.</p></li><li><p><strong>End-to-End Execution:</strong> Own the complete model lifecycle, from data extraction and feature engineering to deployment, A/B testing, and ongoing performance monitoring.</p></li><li><p><strong>Cross-Functional Collaboration:</strong> Partner closely with Engineering, Product, and Finance teams to define technical requirements and translate model outputs into clear, actionable business insights.</p></li><li><p><strong>Uphold Technical Standards:</strong> Write clean, modular, and production-ready code. Actively participate in peer code reviews and contribute to the team’s technical best practices.</p></li><li><p><strong>Drive Project Delivery:</strong> Navigate technical ambiguity within your domain, breaking down complex project requirements into manageable, executable milestones.</p></li><li><p><strong>Team Mentorship:</strong> Provide technical guidance and support to junior data scientists and analysts, helping them troubleshoot roadblocks and adopt best practices.</p></li></ul><h2>Experience & Skills:</h2><ul><li><p><strong>5+ years</strong> of applied experience in Data Science or ML Engineering, with a track record of delivering production-ready models that drive measurable business value.</p></li><li><p><strong>Technical Proficiency:</strong> Strong expertise in Python and SQL. Deep familiarity with the Python data stack (pandas, NumPy, scikit-learn) and standard ML frameworks (such as PyTorch, XGBoost, or LightGBM).</p></li><li><p><strong>Engineering Rigor:</strong> Proven ability to build for production. Experience working in cloud-based environments (AWS or GCP) and familiarity with CI/CD workflows, version control (Git), and ML Ops principles.</p></li><li><p><strong>Analytical Problem Solving:</strong> Strong ability to connect technical metrics to business outcomes. You know how to choose the right algorithm for the right problem rather than just the most complex one.</p></li><li><p><strong>Communication:</strong> Excellent ability to explain technical concepts, model limitations, and analytical findings to non-technical stakeholders.</p></li><li><p><strong>Education:</strong> BS, MS, or equivalent experience in a quantitative field (Data Science, Statistics, Economics, CS, Applied Math, etc.).</p></li></ul><h2>Preferred Qualifications:</h2><ul><li><p><strong>0-to-1 Execution:</strong> Experience taking the very first machine learning models in an organization from exploratory notebooks to reliable, automated production pipelines.</p></li><li><p><strong>Advanced Business ML (Experience in 1-2 of the following):</strong></p><ul><li><p><strong>Customer Behavior & Propensity Modeling:</strong> Building predictive models for churn, propensity-to-buy, lead scoring, or lifetime value (LTV) to directly drive targeted marketing and product interventions.</p></li><li><p><strong>Applied Forecasting:</strong> Time-series forecasting, anomaly detection, or handling non-stationary data for demand or revenue planning.</p></li><li><p><strong>Optimization:</strong> Building engines for marketing spend, inventory management, or resource allocation.</p></li><li><p><strong>Causal Inference:</strong> Designing robust experiments (e.g., quasi-experiments, difference-</p></li></ul></li></ul><h2>Our Benefits (there are more but here are some highlights):</h2><ul><li><p>Competitive salary & equity compensation for full-time roles</p></li><li><p>Unlimited PTO, company holidays, and quarterly mental health days</p></li><li><p>Comprehensive health benefits including medical, dental & vision, and parental leave</p></li><li><p>Employee Stock Purchase Program (ESPP)</p></li><li><p>401k benefits with employer matching contribution</p></li><li><p>Offsite team retreats</p></li></ul><p>We are committed to building a workforce that reflects diverse perspectives and prioritizes ethics, wellness, and a strong sense of belonging. If you're excited about this role, we encourage you to apply—even if you're not sure if your background or experience is a perfect match.</p><p>Hims considers all qualified applicants for employment, including applicants with arrest or conviction records, in accordance with the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance, the California Fair Chance Act, and any similar state or local fair chance laws.</p><p>It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.</p><p>Hims & Hers is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at <a href='mailto:[email protected]'><u>[email protected]</u></a> and describe the needed accommodation. Your privacy is important to us, and any information you share will only be used for the legitimate purpose of considering your request for accommodation. Hims & Hers gives consideration to all qualified applicants without regard to any protected status, including disability. Please do not send resumes to this email address.</p><p>To learn more about how we collect, use, retain, and disclose Personal Information, please visit our <a href='https://www.hims.com/global-candidate-privacy-statement'><u>Global Candidate Privacy Statement</u></a>.</p>

AL, AK, AZ, AR, CA, CO, CT, DE, FL, GA, HI, ID, IL, IN, IA, KS, KY, LA, ME, MD, MA, MI, MN, MS, MO, MT, NE, NV, NH, NJ, NM, NY, NC, ND, OH, OK, OR, PA, RI, SC, SD, TN, TX, UT, VT, VA, WA, DC, WV, WI, WY

Data

<p>At Vanta, our mission is to help businesses earn and prove trust.<strong> </strong>We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. </p><p>Our Data and Analytics<strong> </strong>team is currently looking for a Senior Data Scientist to join us!</p><p>You’ll be responsible for laying the foundation for a best-in-class business analytics function. You’ll partner closely with our business stakeholders to ensure that our analytics stack and processes meet the business needs today with an eye towards the future.</p><h2>What you’ll do as a Senior Data Scientist at Vanta:</h2><ul><li><p>Build and maintain trusted product data assets using dbt, Snowflake, and modern analytics infrastructure</p></li><li><p>Leverage AI-powered analytics tools and data agents (e.g., Snowflake Cortex) to accelerate insight generation, automate repeatable analysis, and scale decision-making</p></li><li><p>Define and evolve measurement frameworks for product health, customer lifecycle, and AI-powered product experiences</p></li><li><p>Partner closely with Product, Engineering, Design, and Customer Success to influence product strategy through data</p></li><li><p>Help define Vanta’s analytics strategy and AI measurement practices as our product and data platform evolve</p></li><li><p>Lead executive analytics reviews, translating complex analyses into clear recommendations that drive company decisions</p></li></ul><h2>How to be successful in this role:</h2><ul><li><p>4+ years of experience working with data as a Data Scientist, Product Analyst, or Analytics Engineer in an applied business setting</p></li><li><p>Strong foundation in SQL, Python (or R), statistics, and machine learning</p></li><li><p>Experience designing and evaluating experiments, predictive models, and other statistical analyses to inform product decisions</p></li><li><p>Experience building scalable data assets, metrics, and analytical frameworks on modern cloud data platforms (e.g., Snowflake, dbt)</p></li></ul><ul><li><p>Deep experience with data visualization</p></li><li><p>Experience using modern AI-assisted analytics tools or LLM-powered workflows to accelerate analysis and improve decision making</p></li><li><p>Deep understanding of product analytics, customer behavior, and B2B SaaS growth metrics</p></li><li><p>Experience partnering closely with Product, Engineering, Design, and Customer Success throughout the product lifecycle</p></li><li><p>Demonstrated ability to translate ambiguous business problems into meaningful analytical frameworks and actionable recommendations</p></li><li><p>Passion for building reusable analytical systems that increase organizational leverage rather than one-off analyses</p></li><li><p>Open to using AI to amplify their skills and strengthen their work - demonstrating curiosity, a willingness to learn, and sound judgment in applying AI responsibly to improve efficiency and impact.</p></li></ul><h2>What you can expect as a Vanta’n:</h2><ul><li><p>Industry-competitive salary and equity</p></li><li><p>Comprehensive medical, dental, and vision coverage, with 100% of employee-only benefit premiums covered for most medical plans</p></li><li><p>16 weeks paid Parental Leave for all new parents</p></li><li><p>Health & wellness stipend</p></li><li><p>Remote workspace, internet, and cellphone stipend</p></li><li><p>Commuter benefits for team members who report to the SF and NYC office</p></li><li><p>Family planning benefits</p></li><li><p>Matching 401(k) contribution with immediate vesting</p></li><li><p>Flexible PTO policy, plus 80 hours of Sick Time</p></li><li><p>11 company-paid holidays</p></li><li><p>Virtual team building activities, lunch and learns, and other company-wide events!</p></li><li><p>Offices in SF, NYC, London, Dublin, Tel Aviv, and Sydney</p></li></ul><p>#LI-remote</p><p><em>At Vanta, we are committed to hiring diverse talent of different backgrounds and as such, it is important to us to provide an inclusive work environment for all. We do not discriminate on the basis of race, gender identity, age, religion, sexual orientation, veteran or disability status, or any other protected class. As an equal opportunity employer, we encourage and welcome people of all backgrounds to apply.</em></p><h2>About Vanta</h2><p>We started in 2018, in the wake of several high-profile data breaches. Online security was only becoming more important, but we knew firsthand how hard it could be for fast-growing companies to invest the time and manpower it takes to build a solid security foundation. Vanta was inspired by a vision to restore trust in internet businesses by enabling companies to improve and prove their security. From our early days automating security monitoring for compliance standards like SOC 2, HIPAA and ISO 27001 to creating the world's leading Trust Management Platform, our vision remains unchanged. </p><p>Now more than ever, making security continuous—not just a point-in-time check— is essential. Thousands of companies rely on Vanta to build, maintain and demonstrate their trust— all in a way that's real-time and transparent.</p><h2>Referral Instructions</h2><p>If you are being referred for the role, please contact that person to apply on your behalf.</p>

AL, AK, AZ, AR, CA, CO, CT, DE, FL, GA, HI, ID, IL, IN, IA, KS, KY, LA, ME, MD, MA, MI, MN, MS, MO, MT, NE, NV, NH, NJ, NM, NY, NC, ND, OH, OK, OR, PA, RI, SC, SD, TN, TX, UT, VT, VA, WA, DC, WV, WI, WY

Data

<h2>Who We Are</h2> <h3>About Stripe</h3> <p>Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.</p><h3>About The Team</h3> <p>Specialist Solutions Architects (SSA) are domain experts aligned to specific Stripe solutions and customer buying centers. We have in-depth knowledge of specific solution offerings and a deep understanding of customer challenges. We align with specialist product sellers on deals, advise the broader pre-sales team on complex opportunities, support pipeline development and revenue attainment, serve as an advisor on go-to-market sales plays, and provide critical insights to our product and engineering teams.</p><h2>What You'll Do</h2> <p>You will collaborate closely with sales and pre-sales teams to drive pipeline and revenue targets, while also educating the product and engineering teams on market trends and strongly influencing the product roadmap. You will develop deep relationships with senior customer business leaders and grow Stripe's solution offerings with new and existing customers. As a subject matter expert, you will scale the broader organization by creating reusable assets and coaching others on complex, high-value opportunities.</p><h3>Responsibilities</h3> <ul><li>Act as a subject matter expert on Stripe's Data products (data pipelines/export, revenue and reconciliation reporting, and analytics tooling) to accelerate opportunities</li><li>Demonstrate a deep understanding of how businesses warehouse and model payments and revenue data — data pipelines into Snowflake, BigQuery, Redshift, and Databricks; ETL/ELT patterns; and how that data feeds financial reporting, reconciliation, and BI</li><li>Conduct deep discovery of customers' existing data architecture, warehouse, and reporting stack to architect solutions that align Stripe's Data capabilities with their analytics and finance requirements</li><li>Advise customers on how to design for complexity: multi-entity and multi-currency reporting, custom data models, integration with existing BI tools (Looker, Tableau, Sigma, Metabase) and ERP/GL systems, and data freshness/latency requirements</li><li>Create and share best practices and reusable assets such as reference architectures to enhance the quality and efficiency of the broader sales and pre-sales organizations</li><li>Partner closely with the Data product sales team and actively drive opportunities for Stripe's largest customers, leading solution strategy and owning key customer relationships</li><li>Serve as a 'Voice of the Customer' to drive product and feature request prioritization</li><li>Identify product, industry, implementation, and competitive trends, and provide actionable insights to product stakeholders and sales to influence Stripe's Data product roadmap</li><li>Act as an escalation point to drive complex technical issues to resolution with Stripe's engineering team</li><li>Represent the technical health of the business on quarterly sales forecast calls and highlight deal blockers with proposed solutions</li><li>Support marketing events including executive briefings, conferences, user groups, and trade shows</li></ul> <h2>Who You Are</h2> <p>You're capable of engaging in both business-level and technical conversations at multiple levels of a customer organization, including finance, data, and engineering leadership. You enjoy working on products that require deep technical understanding combined with business context, and you're as comfortable in a warehouse schema as you are in a revenue conversation with a CFO. You're excited to become an expert and to share that knowledge broadly.</p><p>If you meet the minimum requirements below, we encourage you to apply — the preferred qualifications are a bonus, not a requirement.</p><h3>Minimum Requirements</h3> <ul><li>7+ years of experience in a technical sales, pre-sales, or solutions architecture role, with a focus on data platforms, analytics, or financial reporting</li><li>3+ years of hands-on experience with data warehousing and pipeline architecture (e.g., Snowflake, BigQuery, Redshift, Databricks) and ETL/ELT tooling</li><li>Strong understanding of how payments and revenue data maps to financial reporting and reconciliation workflows</li><li>Experience working with or implementing BI/analytics platforms (Looker, Tableau, Sigma, Metabase, or similar)</li><li>Strong knowledge of software engineering and API integration patterns, including how data pipelines are built and maintained</li><li>Exceptional communication, presentation, and interpersonal skills, comfortable explaining complex technical concepts to both technical and non-technical audiences</li><li>A proven ability to build strong collaborative working relationships with business partners</li><li>Ability to deal effectively with ambiguity and thrive in an unstructured, fast-moving environment</li></ul> <h3>Preferred Qualifications</h3> <ul><li>Experience integrating Stripe or other RESTful APIs into data pipelines or web applications</li><li>Familiarity with complex reporting scenarios: multi-entity consolidation, revenue recognition data models, or usage-based billing data</li><li>Experience with SQL at an advanced level and comfort working directly in a customer's data warehouse during discovery</li><li>Experience as a subject matter expert in financial services, fintech, or a data/analytics vertical</li><li>Pre-sales experience with Enterprise customers</li></ul>

CA, NY

Data

<h2>About Ramp</h2><p>Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.</p><p>The problems are high-stakes, data-dense, and unforgiving.</p><p>We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.</p><p>The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.</p><p>If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.</p><h2>About the Role</h2><p>We’re looking for someone to help lead the future of analytics at Ramp. This person will enable Ramp to get 1% better every day by developing data products and insights. They will partner closely with business stakeholders and product, engineering, and design counterparts to prioritize and execute on work, improve reporting, as well as drive results and process improvements.</p><h2>What You’ll Do</h2><ul><li><p>Full stack development, building models to consume, transform, and expose data to stakeholders and production systems</p></li><li><p>Drive a culture of experimental design, testing agenda, and best practices</p></li><li><p>Contribute to the culture of Ramp’s data team by influencing processes, tools, and systems that will allow us to make better decisions in a scalable way</p></li><li><p>Collaborate with P/E/D/D (product, engineering, data and design) teams to develop product roadmaps and measure success</p></li><li><p>Work closely with data engineering teams to capture, move, store, and transform raw data into highly actionable insights, and partner with business teams to turn those insights into action</p></li></ul><h2>What You Need</h2><ul><li><p>Minimum of 4 years of industry experience as a Data Scientist</p></li><li><p>Strong knowledge of SQL (preferably Redshift, Snowflake, BigQuery) and how to write efficient SQL queries</p></li><li><p>Familiarity with BI tools (preferably Looker, Omni, Sigma, Hex or equivalent) and experience distributing data insights via reports and dashboards</p></li><li><p>Track record of shipping high quality products and features at scale</p></li><li><p>Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions</p></li></ul><h2>Nice-to-Haves</h2><ul><li><p>Experience with the modern data stack (Fivetran / Snowflake / dbt / Looker / Hightouch or equivalents)</p></li><li><p>Strong perspective on analytics engineering development cycle (data modeling, version control, documentation + testing, best practices for codebase development)</p></li><li><p>Experience within the payments and financial technology space</p></li><li><p>Familiarity with B2B enterprise sales cycle metrics and processes</p></li></ul><h2>About Our Teams</h2><ul><li><p><strong>Product Data </strong>| Ramp’s Product Data team is responsible for delivering data products and insights that shape Ramp’s product direction and unlock business value. The Product Analytics team is also responsible for building out the platform through which new products are launched, instrumented, tested, and QA’d. The team embeds deeply as a partner to engineering, product, and design.</p></li><li><p><strong>Risk & Capital Markets Data </strong>| Ramp’s Risk Data team is responsible for how risk is evaluated, and building the risk infrastructure to scale to millions of businesses in the United States. Areas include risk operations and underwriting, limit setting and pricing across financial products as well as fraud detection, regulatory reporting, and capital market relationships.</p></li><li><p><strong>Growth Data | </strong>Ramp's Growth Data team ships data products and insights that allow Ramp to acquire new business and expand existing business and partnerships at scale. Current areas of focus include: Web & Martech, Outbound Automation, Customer Data Platform, Self-Service Product, GTM Strategic Finance, and Business Systems.</p></li></ul><h2>Benefits available to all full-time Ramp employees (Global)</h2><ul><li><p>Flexible PTO</p></li><li><p>Centralized home-office equipment ordering</p></li><li><p>Health and wellness stipend</p></li><li><p>Budget for intra-office travel</p></li><li><p>Weekly coffee stipend</p></li></ul><h2>United States</h2><ul><li><p>100% medical, dental & vision insurance coverage for you, with partial coverage for dependents</p></li><li><p>One Medical annual membership</p></li><li><p>401(k), including employer match on contributions made while employed by Ramp</p></li><li><p>Fertility HRA (up to $10,000 per year)</p></li><li><p>Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay</p></li><li><p>Pet insurance</p></li><li><p>In-office perks: lunch, snacks, drinks, and more</p></li><li><p>Relocation expense coverage to NYC or SF (if needed)</p></li></ul><h2>Canada</h2><ul><li><p>Group medical, dental, and vision coverage through Sun Life</p></li><li><p>Life, AD&D, and disability coverage</p></li><li><p>Fertility drug coverage (up to $4,000 lifetime)</p></li><li><p>Group Retirement Plan with employer match (RRSP + DPSP)</p></li><li><p>Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay</p></li><li><p>Employee Assistance Program and virtual care through Lumino Health</p></li></ul><h2>United Kingdom</h2><ul><li><p>Private medical insurance through Freedom Elite</p></li><li><p>Virtual GP and at-home care via eMed x Livi</p></li><li><p>Workplace pension through Penfold, with salary sacrifice option</p></li><li><p>Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay</p></li></ul><h2>Referral Instructions</h2><p>If you are being referred for the role, please contact that person to apply on your behalf.</p><h2>Other notices</h2><p>Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</p><p><em>Beware of recruiting scams: Ramp will only contact you through official @</em><a href='http://Ramp.com'><em>Ramp.com</em></a><em> email addresses and will never ask for payment or sensitive personal information during the hiring process.</em></p><p><a href='https://ramp.com/legal/applicant-privacy-notice'>Ramp Applicant Privacy Notice</a></p>

AL, AK, AZ, AR, CA, CO, CT, DE, FL, GA, HI, ID, IL, IN, IA, KS, KY, LA, ME, MD, MA, MI, MN, MS, MO, MT, NE, NV, NH, NJ, NM, NY, NC, ND, OH, OK, OR, PA, RI, SC, SD, TN, TX, UT, VT, VA, WA, DC, WV, WI, WY

Data

<p><strong>Who are we?</strong></p><p>Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.</p><p>We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.</p><p>We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.</p><p>We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!</p><p><strong>Why this role?</strong></p><p>We're building the foundational infrastructure that will define how the world thinks about and deploys AI, and we want the sharpest, most curious people to help us do it. As a Lead Data Scientist on our Analytics and Data Insights team, you'll tackle problems that don't have textbook answers yet; shaping go-to-market strategy for technology that's still being invented, designing the experiments that prove or kill our biggest bets, and helping enterprises understand what foundational AI actually means for their bottom line. You'll own the full analytical lifecycle, from framing the right questions and building the models, to leading a team that delivers answers leadership can act on.</p><p><strong>As a Lead Data Scientist, you will:</strong></p><ul><li><p>Drive the mission forward.</p></li><li><p>Own the science: design and lead experimentation programs including A/B tests, multi-armed bandits, causal inference studies, that directly map to product and go-to-market decisions.</p></li><li><p>Build predictive models that matter: develop and deploy models for forecasting, segmentation, propensity scoring, and opportunity sizing across Cohere's core business lines.</p></li><li><p>Lead and grow a team: manage a team of analysts and data scientists. Set the technical bar, mentor aggressively, and create an environment where exceptional people do their best work.</p></li><li><p>Act like an owner: no waiting around. You'll define analytical priorities, allocate resources, and push initiatives from question to production.</p></li><li><p>Shape strategy: partner across product, research, sales, and finance to define how Cohere grows. Your team's work will get built into products and implemented into strategy.</p></li></ul><p><strong>You may be a good fit, if you have:</strong></p><ul><li><p>Strong command of SQL, Python, and Git, alongside deep expertise in statistical inference, experimental design, and predictive modeling</p></li><li><p>A proven ability to turn ambiguous business questions into rigorous analytical problems, with clear and compelling recommendations to match</p></li><li><p>Experience leading analytics or data science teams, with a track record of making smart people faster</p></li><li><p>Familiarity with modern data stack tools such as BigQuery, dbt, Looker, or Airflow (nice to have, not essential)</p></li><li><p>Genuine excitement about AI - you follow the research, have opinions, and enjoy being in the weeds</p></li><li><p>Comfort operating in ambiguity, managing complex multi-workstream roadmaps, and distilling insights into a concise, actionable narrative</p></li><li><p>A leadership style grounded in empathy as much as in data</p></li></ul><h2>Full-Time Employees at Cohere enjoy these Perks:</h2><ul><li><p>A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.</p></li><li><p>Full health and dental benefits, including a separate budget for mental health.</p></li><li><p>RRSP matching, 401K, Pension Scheme.</p></li><li><p>100% Parental Leave top-up for up to 6 months, for either parent.</p></li><li><p>Annual enrichment benefits:</p><p>Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.</p><p>Education & learning stipend for conferences, courses, and coaching.</p></li></ul><ul><li><p>6 weeks of paid vacation (30 working days!)</p></li><li><p>Budget for traveling to other offices if you are remote, plus an annual company offsite.</p></li></ul><h2>How and Where We Work:</h2><ul><li><p>Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.</p></li><li><p>For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.</p></li><li><p>For those not near an office: a co-working benefit so you can work alongside others in your city.</p></li><li><p>Everyone receives a $500 home office stipend to set up your workspace properly.</p></li></ul><p>If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. </p><p><br>We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an<a href='https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit'> Accommodations Request Form</a>, and we will work together to meet your needs.</p><p>We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.</p><p><em>Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our </em><a href='https://cohere.com/careers'><em>official careers</em></a><em> page.</em></p>

AL, AK, AZ, AR, CA, CO, CT, DE, FL, GA, HI, ID, IL, IN, IA, KS, KY, LA, ME, MD, MA, MI, MN, MS, MO, MT, NE, NV, NH, NJ, NM, NY, NC, ND, OH, OK, OR, PA, RI, SC, SD, TN, TX, UT, VT, VA, WA, DC, WV, WI, WY

Data

<h2>Who we are </h2> <h3>About Stripe</h3> <p>Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.</p><h3>About the team</h3> <p>Stripe’s GTM Planning &amp; Central Operations team partners with Sales Leadership, Finance, Product, Region Sales Strategy and Operations, and Data Engineering to build the operational processes, tools, policies, and data required to bring our GTM strategy to life. We bring expertise, rigorous thinking, and a user-first approach to problem-solving. We transform, improve, and support global Stripe business processes to drive critical initiatives and other cross-functional business priorities for the sales planning cycle.</p><h2>What you’ll do</h2> <p>Build and lead a team of FTE and outsourced Sales Operations experts to improve our customer data. You will partner with GTM leadership to understand gaps and address them through processes, policies, and workflows.</p><h3>Responsibilities</h3> <ul><li>Apply systems thinking and continuous improvement to the mechanisms owned by the team.</li><li>Develop a data quality roadmap to address various customer data challenges.</li><li>Align on prioritization with leadership, Data Engineering, and Systems teams.</li><li>Influence the implementation and enablement of systems and tools, working closely with internal systems teams.</li><li>Create an outsourcing strategy for always-on data cleanup.</li><li>Manage contractors as part of the outsourcing strategy to scale data quality initiatives, reporting, processes, and analytics.</li><li>Define and measure metrics for success.</li><li>Develop dashboards highlighting progress against the identified metrics.</li><li>Communicate progress to Stripe leadership and leverage their support to influence and unblock.</li></ul> <h2>Who you are</h2> <p>We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.</p><h3>Minimum requirements</h3> <ul><li>Has 7+ years of sales, strategy, and operations experience in a high-tech growth environment or operational experience in management consulting.</li><li>Is able to own the problem, investigate its root causes, and ensure execution.</li><li>Can work across multiple stakeholders and elevate issues to leadership.</li><li>Has an enthusiastic “roll-up-your-sleeves” mentality and is willing to do IC work while leading.</li><li>Has strong analytical skills and a structured approach to solving unique business problems.</li><li>Works well with a high degree of adaptability and flexibility in a fast-paced, often ambiguous, and rapidly changing environment.</li></ul> <h3>Preferred qualifications</h3> <ul><li>Experience managing outsourced services.</li><li>Proficiency in SQL and other advanced analytics tools.</li><li>Proficiency in BI visualization tools.</li><li>Prior experience at a growth-stage internet/software company.</li><li>Prior experience in the SaaS and/or payments industry.</li></ul>

AL, AK, AZ, AR, CA, CO, CT, DE, FL, GA, HI, ID, IL, IN, IA, KS, KY, LA, ME, MD, MA, MI, MN, MS, MO, MT, NE, NV, NH, NJ, NM, NY, NC, ND, OH, OK, OR, PA, RI, SC, SD, TN, TX, UT, VT, VA, WA, DC, WV, WI, WY

Data

<p>Hims & Hers is the leading health and wellness platform, on a mission to help the world feel great through the power of better health. We are redefining healthcare by putting the customer first and delivering access to care that is affordable, accessible, and personal, from diagnosis to treatment to delivery. No two people are the same, so we provide access to personalized care designed for results. By normalizing health & wellness challenges and innovating on their solutions, we’re making better health outcomes easier to achieve. </p><p>Hims & Hers is a public company, traded on the NYSE under the ticker symbol “HIMS.” To learn more about the brand and offerings, you can visit <a href='http://hims.com/about'>hims.com/about</a> and <a href='http://hims.com/how-it-works'><u>hims.com/how-it-works</u></a> . For information on the company’s outstanding benefits, culture, and its talent-first flexible/remote work approach, see below and visit <a href='http://www.hims.com/careers-professionals'><u>www.hims.com/careers-professionals</u></a>.</p><h2>About the Role:</h2><p>As a Staff Data Scientist at Hims & Hers, you are a technical leader and a 'force multiplier' for our data organization. You do not just solve the most difficult problems; you identify which problems are worth solving to move the needle for our customers. You will serve as a technical anchor, simplifying ambiguous problems into executable paths for the team.</p><p>In this role, you will bridge the gap between business strategy and production-ready machine learning. Whether you are building frameworks for growth, optimizing our supply chain, or refining marketing attribution, you will ensure our data products are technically sound, scalable, and built to deliver measurable business results.</p><h2>You Will:</h2><ul><li><p><strong>Architect the 0-to-1 Foundation:</strong> Lead the design and implementation of automated ML systems. You know how to balance 'doing it right' with 'doing it fast,' making pragmatic architectural choices (build vs. buy, simple vs. complex) while rolling up your sleeves to write production code and establish our core ML infrastructure.</p></li><li><p><strong>Translate Business Needs:</strong> Turn ambiguous business questions (from customer acquisition to churn dynamics) into concrete technical roadmaps that deliver clear, actionable results</p></li><li><p><strong>Drive Execution and Reliability:</strong> Lead the end-to-end deployment of ML products, ensuring they are not just accurate but robust, maintainable, and fully integrated into our production infrastructure</p></li><li><p><strong>Connect Technical & Business Goals:</strong> Partner across Engineering, Product, and Business to ensure our technical strategy is solving the right business problems and moving our core metrics</p></li><li><p><strong>Define Technical Standards:</strong> Act as a force multiplier by establishing the standards for model development. You will lead design docs and peer reviews that ensure our work is reproducible and integrates with the work of our Data and Analytics Engineering partners</p></li><li><p><strong>Own the Results:</strong> Take accountability for the full model lifecycle, from the initial data design through to the long-term performance and business value of production systems</p></li><li><p><strong>Mentorship & Coaching:</strong> Actively mentor Senior and Mid-level Data Scientists, elevating the technical bar and fostering a culture of continuous learning across the data organization.</p></li></ul><h2>Experience & Skills:</h2><ul><li><p><strong>8+ years of experience</strong> in Data Science or ML Engineering, with a proven track record of building production systems that deliver measurable business impact</p></li><li><p><strong>Technical Mastery:</strong> High proficiency in Python and SQL. Expert-level experience with the Python data stack (pandas, NumPy, scikit-learn) and at least one major ML framework (such as PyTorch or XGBoost/LightGBM)</p></li><li><p><strong>Systemic Problem Solving:</strong> Ability to work on unique issues requiring conceptual thinking and broad impact. You know how to build for long-term scalability while delivering immediate value</p></li><li><p><strong>Leadership & Influence:</strong> Proven ability to influence without authority. You can translate complex technical logic into compelling narratives for executive leadership</p></li><li><p><strong>Engineering Rigor:</strong> Experience with CI/CD, ML Ops, and managing the full lifecycle of models in a cloud-based production environment (AWS or GCP)</p></li><li><p><strong>Education:</strong> BS, MS, or PhD in a quantitative field (Data Science, Statistics, Economics, CS, Applied Math, etc.) or equivalent field expertise</p></li></ul><h2> </h2><h2>Preferred Qualifications:</h2><ul><li><p><strong>0-to-1 Execution:</strong> Experience taking the very first machine learning models in an organization from exploratory notebooks to reliable, automated production pipelines.</p></li><li><p><strong>Advanced Business ML (Experience in 1-2 of the following):</strong></p><ul><li><p><strong>Customer Behavior & Propensity Modeling:</strong> Building predictive models for churn, propensity-to-buy, lead scoring, or lifetime value (LTV) to directly drive targeted marketing and product interventions.</p></li><li><p><strong>Applied Forecasting:</strong> Time-series forecasting, anomaly detection, or handling non-stationary data for demand or revenue planning.</p></li><li><p><strong>Optimization:</strong> Building engines for marketing spend, inventory management, or resource allocation.</p></li><li><p><strong>Causal Inference:</strong> Designing robust experiments (e.g., quasi-experiments, difference-in-differences) to measure true business impact beyond standard A/B testing.</p></li></ul></li></ul><h2>Our Benefits (there are more but here are some highlights):</h2><ul><li><p>Competitive salary & equity compensation for full-time roles</p></li><li><p>Unlimited PTO, company holidays, and quarterly mental health days</p></li><li><p>Comprehensive health benefits including medical, dental & vision, and parental leave</p></li><li><p>Employee Stock Purchase Program (ESPP)</p></li><li><p>401k benefits with employer matching contribution</p></li><li><p>Offsite team retreats</p></li></ul><p>We are committed to building a workforce that reflects diverse perspectives and prioritizes ethics, wellness, and a strong sense of belonging. If you're excited about this role, we encourage you to apply—even if you're not sure if your background or experience is a perfect match.</p><p>Hims considers all qualified applicants for employment, including applicants with arrest or conviction records, in accordance with the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance, the California Fair Chance Act, and any similar state or local fair chance laws.</p><p>It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.</p><p>Hims & Hers is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at <a href='mailto:[email protected]'><u>[email protected]</u></a> and describe the needed accommodation. Your privacy is important to us, and any information you share will only be used for the legitimate purpose of considering your request for accommodation. Hims & Hers gives consideration to all qualified applicants without regard to any protected status, including disability. Please do not send resumes to this email address.</p><p>To learn more about how we collect, use, retain, and disclose Personal Information, please visit our <a href='https://www.hims.com/global-candidate-privacy-statement'><u>Global Candidate Privacy Statement</u></a>.</p>

AL, AK, AZ, AR, CA, CO, CT, DE, FL, GA, HI, ID, IL, IN, IA, KS, KY, LA, ME, MD, MA, MI, MN, MS, MO, MT, NE, NV, NH, NJ, NM, NY, NC, ND, OH, OK, OR, PA, RI, SC, SD, TN, TX, UT, VT, VA, WA, DC, WV, WI, WY

Data

<p>Hims & Hers is the leading health and wellness platform, on a mission to help the world feel great through the power of better health. We are redefining healthcare by putting the customer first and delivering access to care that is affordable, accessible, and personal, from diagnosis to treatment to delivery. No two people are the same, so we provide access to personalized care designed for results. By normalizing health & wellness challenges and innovating on their solutions, we’re making better health outcomes easier to achieve. </p><p>Hims & Hers is a public company, traded on the NYSE under the ticker symbol “HIMS.” To learn more about the brand and offerings, you can visit <a href='http://hims.com/about'>hims.com/about</a> and <a href='http://hims.com/how-it-works'><u>hims.com/how-it-works</u></a> . For information on the company’s outstanding benefits, culture, and its talent-first flexible/remote work approach, see below and visit <a href='http://www.hims.com/careers-professionals'><u>www.hims.com/careers-professionals</u></a>.</p><h2>About the Role:</h2><p>We're hiring a Principal Data Engineer to set the technical direction for data at Hims & Hers. This is the most senior individual contributor role in Data Platform Engineering (DPE), and the scope is deliberately larger than DPE: the architecture you define determines how Software Engineering, Analytics Engineering, and Data Science build on data for millions of patients across our Telehealth, prescription, and wellness products.</p><p>The platform runs on GCP BigQuery, Airflow on Astronomer/EKS, dbt, Confluent Kafka, Databricks Delta Lake, and Terraform/OpenTofu. Two foundational pieces are being built from scratch right now: a streaming platform and a lower environments strategy. The most consequential open question is whether streaming stays scoped to analytics or extends into production and model evaluation paths that other teams depend on. That call is yours to make, and the company will live with it for years.</p><p>We have Staff engineers who own domains and ship them well. What we don't have is a single person accountable for whether those domains add up to a coherent platform and for whether the bets we're placing now still look right in five years. That's this role.</p><h2>You Will:</h2><ul><li><p><strong>The multi-year platform architecture.</strong> Ingestion, streaming, orchestration, transformation, and serving as one system rather than five. You decide what we build, what we buy, what we deprecate, and in what order.</p></li><li><p><strong>The streaming bet.</strong> Whether Kafka to Flink to BigQuery stays an analytics pipeline or becomes production infrastructure, and what that commits us to operationally, financially, and organizationally. You are the architect of the answer you choose.</p></li><li><p><strong>The contracts between organizations.</strong> The interfaces, service boundaries, and data contracts govern how other teams consume from and write into the platform. Where your standards end and another org's autonomy begins is a boundary you define with the VP of Data, not one handed to you.</p></li><li><p><strong>What 'trustworthy data' means here, and who is on the hook for it.</strong> You define the quality and freshness guarantees the platform makes, the tiering that determines which datasets get them, and the accountability model when they're missed. Staff engineers build the detection, validation, and alerting systems. You decide what we promise, to whom, and at what cost.</p></li><li><p><strong>The economics of the platform.</strong> The design decisions that determine what data costs us at scale (storage and compute strategy, reservation model, orchestration footprint) and the accountability framework that keeps consumption honest as more teams build on it. You set the framework. You don't tune every query.</p></li><li><p><strong>The self service strategy.</strong> What capabilities let Analytics Engineering and Data Science move without waiting on DPE, what guardrails keep that from breaking production, and how the platform stops being a bottleneck as demand grows faster than headcount.</p></li><li><p><strong>The standards the discipline runs on.</strong> Testing, CI/CD, observability, schema governance, and infrastructure as code practice, adopted by teams that don't report to you because the standards are good rather than because you can compel them.</p></li><li><p><strong>Architecture Review.</strong> You chair it, and you are the decision-maker of record for cross-team, multi-system, and cost-impacting changes, including ones that touch systems you don't own.</p></li><li><p><strong>The seams between data and everything else.</strong> ML and Data Science readiness, HIPAA and PHI compliance posture with Legal and Security, and infrastructure hardening with DevOps. Nobody else is looking at all four at once.</p></li><li><p><strong>The written record.</strong> ADRs, design docs, and RFCs that other teams cite as the reference. If a decision only exists in your head, you haven't finished making it.</p></li><li><p><strong>The technical ceiling of the org.</strong> Mentorship, design review, and hands-on pairing that makes Staff and Senior engineers better. Part of how you'll measure your impact is the volume of decisions you no longer have to make yourself.</p></li><li><p><strong>You stay hands-on throughout.</strong> You write and review production code, and you're in the room for platform-level P1s, driving the systemic fix rather than owning the runbook. This is a technical authority role, not an advisory one.</p></li></ul><h2>You Have:</h2><ul><li><p>15+ years building and owning data platform architecture, with a record of decisions whose consequences you stayed to live with, ideally across multiple companies or multiple platform generations</p></li><li><p>Evidence you've set technical direction for organizations you didn't manage, and got adoption through credibility rather than reporting lines</p></li><li><p>Experience defining the edges of your own architectural authority. Ambiguity about where your mandate ends should not stall you</p></li><li><p>Deep GCP and BigQuery expertise, plus real operational fluency in AWS (our Airflow runs on EKS). Multicloud is the job here, not a bonus</p></li><li><p>Modern data stack at platform scale: governing dbt across teams, Airflow/Astronomer, Kafka/Confluent, Databricks/Spark, Fivetran, and reverse ETL or activation platforms such as Hightouch</p></li><li><p>Event streaming in production at scale, including Schema Registry, data contracts, consumer lag management, and delivery semantics along with what they actually cost. Bonus if you've personally made the analytics versus production streaming call</p></li><li><p>Data governance and compliance in a regulated environment: HIPAA and PHI handling, data classification, access controls, audit logging, and GDPR</p></li><li><p>Terraform or equivalent, and the conviction that infrastructure changes are software changes</p></li><li><p>Strong Python and SQL. You raise the bar on production pipeline code by reviewing it, not by talking about it</p></li><li><p>Writing that creates alignment across organizations. Your design docs are where decisions get made, not summaries of decisions already made elsewhere</p></li></ul><h2>Preferred Qualifications:</h2><ul><li><p>Databricks, Unity Catalog, and Delta Lake in production at scale</p></li><li><p>CDC patterns and Flink for real-time processing, particularly where streaming infrastructure served both analytics and production or model serving paths across multiple teams</p></li><li><p>PySpark and SparkSQL for large-scale batch and streaming workloads</p></li><li><p>A BigQuery to Databricks Lakehouse migration, or an equivalent warehouse migration you led end-to-end</p></li><li><p>MLOps partnership: model training pipelines, feature stores, experimentation infrastructure, or the data foundations behind AI-driven product features</p></li><li><p>Go or Python service development for Kafka producers and consumers</p></li><li><p>Direct-to-consumer healthcare or telehealth with HIPAA and GDPR obligations</p></li><li><p>SOX compliance controls in a data engineering context</p></li></ul><h2>Our Benefits (there are more but here are some highlights):</h2><ul><li><p>Competitive salary & equity compensation for full-time roles</p></li><li><p>Unlimited PTO, company holidays, and quarterly mental health days</p></li><li><p>Comprehensive health benefits including medical, dental & vision, and parental leave</p></li><li><p>Employee Stock Purchase Program (ESPP)</p></li><li><p>401k benefits with employer matching contribution</p></li><li><p>Offsite team retreats</p></li></ul><p>We are committed to building a workforce that reflects diverse perspectives and prioritizes ethics, wellness, and a strong sense of belonging. If you're excited about this role, we encourage you to apply—even if you're not sure if your background or experience is a perfect match.</p><p>Hims considers all qualified applicants for employment, including applicants with arrest or conviction records, in accordance with the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance, the California Fair Chance Act, and any similar state or local fair chance laws.</p><p>It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.</p><p>Hims & Hers is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at <a href='mailto:[email protected]'><u>[email protected]</u></a> and describe the needed accommodation. Your privacy is important to us, and any information you share will only be used for the legitimate purpose of considering your request for accommodation. Hims & Hers gives consideration to all qualified applicants without regard to any protected status, including disability. Please do not send resumes to this email address.</p><p>To learn more about how we collect, use, retain, and disclose Personal Information, please visit our <a href='https://www.hims.com/global-candidate-privacy-statement'><u>Global Candidate Privacy Statement</u></a>.</p>

AL, AK, AZ, AR, CA, CO, CT, DE, FL, GA, HI, ID, IL, IN, IA, KS, KY, LA, ME, MD, MA, MI, MN, MS, MO, MT, NE, NV, NH, NJ, NM, NY, NC, ND, OH, OK, OR, PA, RI, SC, SD, TN, TX, UT, VT, VA, WA, DC, WV, WI, WY

Data