Specialist Solutions Architect, 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>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

<p>Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.</p><p>As a Staff Data Scientist, you’ll lead the design and development of scalable ML systems for use cases such as menu recommendation, demand forecasting, offer targeting, and guest personalization. You will serve as a technical thought partner across teams, set best practices, and influence the roadmap for ML-driven products that support key business outcomes. Your work will directly shape strategic decisions and enhance customer experience at scale.</p><h2>A day in the life (Responsibilities)</h2> <ul><li>Own the full machine learning lifecycle—from problem framing and data exploration to modeling, deployment, and monitoring—for mission-critical initiatives.</li><li>Design and implement advanced ML and statistical models that improve product performance, operational efficiency, or customer insights.</li><li>Collaborate with engineers, product managers, and business stakeholders to define project scope, success metrics, and integration strategy.</li><li>Guide architectural decisions, set modeling standards, and champion best practices for experimentation, validation, and productionization.</li><li>Mentor other data scientists and raise the technical bar through design reviews, feedback, and sharing domain expertise.</li><li>Proactively identify areas where data science can create business value and lead cross-functional efforts to drive those opportunities forward.</li><li>Leverage cutting edge AI tools to enhance your development workflow, improve velocity, and help pioneer new approaches to building - contributing to a culture of innovation and productivity across the team.</li></ul> <h2>What you'll need to thrive (Requirements)</h2> <ul><li>7+ years of experience in data science with a proven track record of delivering production ML systems that drive measurable impact.</li><li>Deep knowledge of statistical modeling, machine learning (e.g., tree-based models, time series, deep learning), and model evaluation.</li><li>Experience working with real-world product data at scale and translating ambiguous problems into well-scoped ML solutions.</li><li>Experience with distributed data processing and training, real-time inference, and ML Ops frameworks</li><li>Prior experience mentoring other data scientists or acting as a tech lead.</li><li>Experience leading experimentation (e.g., A/B testing), causal inference, and real-time decision systems.</li><li>Proficiency in Python and SQL, and experience with ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow).</li><li>Strong grasp of software engineering principles including modular design, version control, testing, and CI/CD.</li><li>Hands-on experience with cloud platforms (preferably AWS), including tools like SageMaker, Athena, Glue, DynamoDB, and Bedrock.</li><li>Excellent communication skills and the ability to influence both technical and non-technical stakeholders.</li><li>Strong business acumen with the ability to align technical solutions with company goals.</li><li>Experience building services on top of LLMs in a large scale production environment.</li></ul> <h2>Bonus <em>ingredients*</em>:</h2> <ul><li>An advanced degree in Computer Science, Statistics, or a related STEM field is preferred.</li><li>Familiarity with MLOps tooling for monitoring, drift detection, retraining, and explainability.</li><li>Experience fine-tuning LLMs and applying reinforcement learning from human feedback (RLHF) to improve model performance and alignment.</li></ul> <h2>AI at Toast</h2> <p>At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.</p><p><strong>Our Total Rewards Philosophy <br></strong>We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at <a href='https://careers.toasttab.com/toast-benefits'>https://careers.toasttab.com/toast-benefits</a>.</p><p>#LI-Remote</p><p>The base salary range for this role is listed below. The starting salary will be determined based on skills, experience, and geographic location. In addition to base salary, our total rewards components include cash compensation (overtime, bonus/commissions if eligible), equity, and benefits. You can learn more about how we align pay with local labor markets in our <a href='https://careers.toasttab.com/us-pay-zones'>Geographic Pay Zone Philosophy</a>.</p><p>Zone A</p><p>$170,000&mdash;$272,000 USD</p><p>Zone B</p><p>$148,000&mdash;$237,000 USD</p><p>Zone C</p><p>$133,000&mdash;$213,000 USD</p><p><h2>How Toast Uses AI in its Hiring Process</h2> <p>Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people. To learn more: <a href='https://careers.toasttab.com/ai-in-hiring'>https://careers.toasttab.com/ai-in-hiring</a></p><p><strong>Our Approach to Hybrid Working</strong><br><br>We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the hospitality community, regardless of location. Please visit the Locations page on our career site to learn more about our in-office expectations by region: <a href='https://careers.toasttab.com/locations-toast'>https://careers.toasttab.com/locations-toast</a></p><h2>Diversity, Equity, and Inclusion is Baked into our Recipe for Success</h2> <p>At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences.</p><h2>We Thrive Together</h2> <p>We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally, check out: <a href='https://careers.toasttab.com/locations-toast'>https://careers.toasttab.com/locations-toast</a>.</p><h2>Apply today!</h2> <p>Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact <a href='mailto:[email protected]'>[email protected]</a>.</p><p><em>------</em></p><p><em>For roles in the United States, 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.</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

<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>As a Senior Data Analyst on the Finance team, you’ll play a pivotal role in uncovering the insights that shape company-wide planning, forecasting, and strategic decision-making. This high-impact role blends analytical rigor, technical fluency, and business acumen to steer strategy and identify opportunities for scalable growth.</p><p>The Finance Data team partners with both Finance and other teams across Vanta. You’ll collaborate closely with stakeholders to build trust and deliver data-driven recommendations; your work will influence everything from operating plans and investment decisions to self-serve reporting and process automation. This is a unique opportunity to deepen your analytics expertise in a dynamic, high-growth environment, with visibility into executive-level priorities and the ability to shape them with data.</p><h2>What you’ll do as a Senior Data Analyst at Vanta:</h2><ul><li><p>Deliver strategic insights by conducting deep, prioritized analyses that inform high-impact financial decisions.</p></li><li><p>Act as a technical partner to teams across FP&A, Accounting, RevOps, Product, Marketing, and more.</p></li><li><p>Increase team efficiency by automating recurring deliverables and helping scale workflows as the company grows.</p></li><li><p>Empower decision-makers with self-service dashboards and data assets that surface trends and drive informed choices across the business.</p></li><li><p>Advance our analytics infrastructure by partnering with Data Engineering and other analytics teams to democratize access to high quality data and insights.</p></li></ul><h2>How to be successful in this role:</h2><ul><li><p>Experience: 4+ years of experience in data analysis or equivalent function. Exposure to FP&A, Accounting, or SaaS metrics is a plus.</p></li><li><p>Technical Skills: Strong proficiency in SQL and data visualization tools (e.g., Tableau, Sigma), with experience handling large and complex data sets. Familiarity with DBT is preferred. Bonus points for skill in Python for advanced analysis.</p></li><li><p>Analytical Thinking: Proven ability to analyze complex data sets, uncover key insights, and translate findings into actionable strategies that drive financial outcomes.</p></li><li><p>Collaboration: Demonstrated success working cross-functionally and building relationships across business teams. Comfortable engaging stakeholders with varying levels of data fluency.</p></li><li><p>Communication: Clear and effective communicator, both written and verbal. Skilled at presenting complex data insights to non-technical audiences.</p></li><li><p>Education: Bachelor’s degree in Data Analytics, Statistics, Informatics, Finance, Economics, Business, or a related field.</p></li><li><p>Must be authorized to work in the U.S. without the need for current or future employer sponsorship.</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>To provide greater transparency to candidates, we share base pay 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 and may vary based on candidate location, skills, depth of work experience, and relevant licenses/credentials. </p><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

<p><a href='https://www.sentilink.com/'><u>SentiLink</u></a> stops more than 150,000 fraud attempts and verifies more than 3 million identities every day to protect both institutions and consumers. The problems we work on are challenging, and solving them takes deep domain expertise, rigorous analysis, and a willingness to dig into the details.</p><p>At SentiLink, you'll work alongside smart, highly collaborative colleagues who respect each other's time and judgment, take ownership, and follow through on their commitments. Together, we do truly meaningful work protecting the identities of innocent consumers and flagging the fraudsters attempting to exploit them.</p><p>We're well capitalized and growing quickly. We already serve 13 of the top 15 U.S. banks, we're expanding into new markets, and we're backed by Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin. We've been named to the<a href='https://www.forbes.com/companies/sentilink/?list=fintech50'> <u>Forbes Fintech 50</u></a> and as a<a href='https://www.businesswire.com/news/home/20260330439998/en/SentiLink-Named-a-2026-FICO-Industry-Vanguard-Decision-Award-Winner-for-Leadership-in-Identity-Theft-Detection'> <u>2026 FICO Industry Vanguard Decision Award Winner</u></a>. We were also the<a href='https://resources.sentilink.com/blog/sentilink-makes-history-as-first-ecbsv-provider'> <u>first company to go live</u></a> with the electronic Consent Based Social Security Number Verification (eCBSV) service, and we've <a href='https://resources.sentilink.com/media/dr.-david-maimons-congressional-testimony-on-emerging-fraud-threats-and-the-evolving-fraud-landscape'><u>testified before the U.S. Congress</u></a> on the future of identity.</p><p>We want SentiLink to be the best place you've ever worked. We offer generous benefits and support a range of working arrangements, from fully remote to in-office. We are a digital-first company with strong collaboration across the U.S. and India, and we meet in person regularly to build relationships. We have offices in Austin, San Francisco, New York City, Seattle (Bellevue), Los Angeles, and Chicago in the U.S., and in Gurugram (Delhi) and Bengaluru in India.</p><h2>Role:</h2><p>As a Data Science Manager for Application Fraud at SentiLink, you will directly manage a team of talented data scientists that build our suite of products: models that identify fraudsters and also advance our growing suite of products in financial risk. In this capacity, you will be relied upon to be a technical leader, mentor, and owner of your respective domain, both for your own team and the organization. Utilize your abilities as a strong data scientist to mentor your team, probe their understanding and challenge them to do their best work. Your team will often work on projects with high visibility and impact that require deep domain understanding, critical thinking and strong technical abilities. This role requires managing full-stack data scientists, whose work involves model development, analysis, and writing production code. You yourself should share that same skillset and be interested in having end-to-end ownership in a fast-moving environment where deep domain understanding drives development and unusual insights drive our competitive advantage rather than optimization of new machine learning methodologies.</p><p><strong>Technologies: </strong>Python 3, PostgreSQL, and AWS infrastructure (EC2, S3, RDS, Redshift, etc.)</p><h2>Responsibilities:</h2><ul><li><p>Directly manage a team of highly skilled data scientists. Start from 2-3 and grow to 5-6.</p></li><li><p>Act as a technical mentor that can dive deep and provide detailed direction.</p></li><li><p>Lead planning, resourcing and communications with senior leadership, product and engineering teams.</p></li><li><p>Develop strong business intuition and guide your team to deliver performant DS solutions on aggressive timelines.</p></li><li><p>Develop and maintain SentiLink’s fraud detection models through the full model development lifespan: from data acquisition decisions through featurization, focusing labeling resources, model training, experimentation, productionalization, and monitoring.</p></li><li><p>Research new types of fraud and develop new SentiLink products around identity verification.</p></li><li><p>Achieve success by researching / developing through iteration, integration of new data sources and inventive feature engineering.</p></li><li><p>Write production-ready code that can be relied on for real-time decision making by our partners.</p></li><li><p>Design, perform, and present analyses that will inform data acquisition, product development, risk operations priorities, marketing, and sales efforts.</p></li></ul><h2>Requirements:</h2><ul><li><p>10+ years relevant work experience & relevant Masters or 7+ years & relevant PhD.</p></li><li><p>2-5 years experience directly managing a team of data scientists, ideally in a startup environment.</p></li><li><p>3+ years of startup experience.</p></li><li><p>Excellent communicator and team player.</p></li><li><p>Proven track record of solving complex / high profile business problems with DS / ML solutions.</p></li><li><p>Experience in communicating outcomes / progress to senior management / stakeholders.</p></li><li><p>Very strong in “end to end” DS development: Planning, fleshing out success criteria / metrics, getting buy-in, developing the solution, delivering the solution (prod / deck / strategy doc / etc).</p></li><li><p>Strong practical ML / Stats knowledge, i.e. can easily employ the suite of standard ML / stats tools to quickly scope out solutions, and double down where needed. Experience with SOTA ML solutions is a plus.</p></li><li><p>Interest in developing deep domain expertise for product-focused work: a background in fraud is not required, but willingness to learn is.</p></li><li><p>Experience writing production code and tests.</p></li><li><p>Detail oriented and thoughtful—someone we can rely on to make business-changing decisions.</p></li><li><p>Thrive in a fast paced environment characterized by the need to solve extremely varied, high impact, open ended problems.</p></li><li><p>Bonus for familiarity with: identity solutions, fintech, or adjacent industries.</p></li><li><p>Candidates must be legally authorized to work in the United States and must live in the United States.</p></li></ul><h2>Compensation:</h2><p>$210,000-$260,000/year + equity + benefits</p><h2>Perks:</h2><ul><li><p>Employer paid group health insurance for you and your dependents</p></li><li><p>401(k) plan with employer match (or equivalent for non US-based roles)</p></li><li><p>Flexible paid time off</p></li><li><p>Regular company-wide in-person events</p></li><li><p>Home office stipend, and more!</p></li></ul><h2>Corporate Values:</h2><ul><li><p>Follow Through</p></li><li><p>Deep Understanding</p></li><li><p>Whatever It Takes</p></li><li><p>Do Something Smart</p></li></ul>

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