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Sr. Manager, Data Science

Hims & Hers· ANALYTICS & DATA SCIENCE
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Remote€100k - €130kFull-timePosted 3w ago

About the role

Senior data science leadership role leading the UK team as one of the earliest members of Hims & Hers' data science function in the UK, shaping how the team operates, setting roadmaps, and collaborating closely with US-based data scientists and cross-functional partners.

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.
  • 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.
  • 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.
  • 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.
  • 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.
  • Set the Technical Bar: Establish and enforce the standards (code review, documentation, model monitoring, experimentation rigour) your team builds against, consistent with the US team and in partnership with Staff-level ICs.
  • 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.

Qualifications

  • 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.
  • Proven People Leadership: Track record of developing and retaining data science talent, including calibrating performance and managing through periods of team growth.
  • Technical Credibility: Strong enough in Python, SQL, and applied ML to review your team's technical decisions and unblock them, even without writing production code daily.
  • Prioritization Under Constraint: Ability to sequence a roadmap across competing stakeholder demands with limited headcount and justify tradeoffs.
  • Executive Communication: Comfortable translating technical work into a narrative for senior leadership and non-technical stakeholders.
  • Engineering Rigor: Familiarity with production ML systems (cloud, CI/CD, MLOps) to hold the team to a production standard.
  • Education: BS, MS, or PhD in a quantitative field or equivalent experience.

Skills

Required:PythonSQLApplied ML (regression/classification, time-series, causal methods)Leadership / People Management
Last updated Oct 21, 2026. Interested? Apply on the company site.

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