Hims & Hers - Sr. Manager, Data Science

Remote - USA€100k - €130k+ Equity4w ago

Remote Senior NA Pharmaceuticals Data Analytics Senior Data Scientist Director of Data Close Technical Writing Team Leadership Product Marketing SQL

Requirements

• 8+ years of experience in Data Science or ML Engineering, including 2+ years directly managing data scientists or ML engineers. • Early-Stage Team Experience: Track record of joining or helping shape a brand-new team, office, or region from an early stage, rather than only working within an established structure. • Distributed/International Collaboration: Experience working on or leading a team split across countries or significant time zones, comfortable with the communication overhead and async workflows that requires. • Distributed/International Collaboration: • Proven People Leadership: Track record of developing and retaining data science talent, including calibrating performance and managing through periods of team growth. • Proven People Leadership: • Technical Credibility: Strong enough in Python, SQL, and applied ML (regression/classification, time-series, causal methods) to review your team's technical decisions and unblock them, even without writing production code daily. • Technical Credibility: • Prioritization Under Constraint: Demonstrated ability to help sequence a roadmap across competing stakeholder demands with limited headcount, and to make a clear, well-reasoned case for tradeoffs even when the final call is shared with others. • Prioritization Under Constraint: • Executive Communication: Comfortable translating technical work into a narrative for senior leadership and non-technical stakeholders, and negotiating scope and timeline with them directly. • Executive Communication: • Engineering Rigor: Familiarity with production ML systems (cloud environments, CI/CD, ML Ops) sufficient to hold your team to a real production bar, not just notebook-quality work. • Engineering Rigor: • Education: BS, MS, or PhD in a quantitative field (Statistics, Mathematics, Economics, Physics, Operations Research, etc.) or equivalent experience. We weigh hands-on empirical research experience, such as a thesis or lab-based program, over the specific field of study. • Education: • US/UK Collaboration, Specifically: Direct experience working across a US/UK (or similar transatlantic) split team, ideally within a company still establishing its presence in one of those regions. • US/UK Collaboration, Specifically: • Advanced Business ML (experience leading or reviewing work in 1-2 of the following): • Customer Behavior & Propensity Modeling: churn, propensity-to-buy, lead scoring, or lifetime value (LTV) models used to drive targeted marketing and product interventions. • Customer Behavior & Propensity Modeling: • Applied Forecasting: time-series forecasting, anomaly detection, or demand/revenue planning under limited historical data. • Applied Forecasting: • Optimization: marketing spend, inventory, or resource allocation engines. • Optimization: • Marketing Measurement: marketing mix modeling, multi-touch attribution, or incrementality testing to measure media effectiveness and inform budget allocation across channels. • Marketing Measurement: • Industry Experience: healthcare, DTC/subscription, or pharma background is a plus, not a requirement. • 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. • 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. • 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. • 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 [email protected] 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. • To learn more about how we collect, use, retain, and disclose Personal Information, please visit our Global Candidate Privacy Statement.

Responsibilities

• Help Establish the UK Team: As one of the earliest members of the UK team, help shape the working norms, technical culture, and onboarding experience for the data scientists who join after you. • Help Establish the UK Team: • Lead as One Distributed Team: Operate the UK team as a single function with the US-based data science org, not a separate silo, keeping standards, context, and priorities consistent across the time zone gap. • Lead as One Distributed Team: • Shape the Roadmap: Partner with the Director of Data Science and the US team to prioritize competing requests from Marketing, Operations, Product, and Finance into a shared roadmap, and help make the tradeoff calls for what the UK team builds and when. • Shape the Roadmap: • Stay Technically Close: Review designs and code at a level of depth that lets you catch bad technical decisions early, even though you are not the one writing production code day to day. • Stay Technically Close: • Unblock Ambiguity: Step into the highest-ambiguity problems on the team's roadmap when your team needs a second set of hands or a tie-breaking technical call. • Unblock Ambiguity: • Set the Technical Bar: Establish and enforce the standards (code review, documentation, model monitoring, experimentation rigor) your team builds against, consistent with the US team and in partnership with Staff-level ICs. • Set the Technical Bar: • Own Delivery: Take accountability for whether your team's 0-to-1 builds actually ship, work reliably in production, and deliver the business outcome they were built for. • Own Delivery:

Benefits

• €100K – €130K • Offers Equity • The actual amount will take into account a range of factors that are considered in making compensation decisions, including but not limited to skill sets, experience and training, licensure and certifications, and location. H&H also offers a comprehensive Total Rewards package that may include an equity grant. • Consult with your Recruiter during any potential screening to determine a more targeted range based on location and job-related factors. • 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. • 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 hims.com/about and hims.com/how-it-works . For information on the company’s outstanding benefits, culture, and its talent-first flexible/remote work approach, see below and visit www.hims.com/careers-professionals.