Hims & Hers

data engineer in healthcare

In short

Senior data science/ML leadership role at Hims & Hers, a health and wellness platform, to help establish and run a new UK data science team in tandem with the US-based organization. Requires 8+ years in Data Science/ML Engineering with 2+ years managing data scientists or ML engineers, strong Python/SQL/applied ML skills, and experience building teams across time zones. Remote, full-time; salary not disclosed.

About: Hims & Hers is a health and wellness platform that provides access to personalized, affordable, and accessible care, from diagnosis to treatment and delivery.
Responsibilities:
•Help shape the UK team's working norms, technical culture, and onboarding experience
•Operate the UK team as one function with the US-based data science organization, keeping standards, context, and priorities consistent
•Partner with the Director of Data Science and the US team to prioritize stakeholder requests into a shared roadmap and make trade-off decisions
•Review designs and code to identify poor technical decisions early
•Step into high-ambiguity roadmap problems to provide technical support or make tie-breaking technical decisions
•Establish and enforce standards for code review, documentation, model monitoring, and experimentation rigor
•Take accountability for shipping the team's 0-to-1 builds, their reliability in production, and their business outcomes
Requirements:
•8+ Years of experience in Data Science or ML Engineering, including 2+ years directly managing data scientists or ML engineers
•Experience joining or shaping a new team, office, or region at an early stage
•Experience working on or leading teams across countries or significant time zones, including communication overhead and asynchronous workflows
•Experience developing and retaining data science talent, calibrating performance, and managing team growth
•Strong Python, SQL, and applied ML skills, including regression, classification, time-series, and causal methods
•Ability to prioritize roadmaps across competing stakeholder demands with limited headcount and make clear, well-reasoned trade-off cases
•Ability to communicate technical work to senior leadership and non-technical stakeholders and negotiate scope and timelines
•Familiarity with production ML systems, cloud environments, CI/CD, and ML Ops
•BS, MS, or PhD in a quantitative field or equivalent experience; hands-on empirical research experience, such as a thesis or lab-based program, is valued over the specific field of study
Nice to have:
•Direct experience with a US/UK or similar transatlantic team split, ideally at a company establishing its presence in one of those regions
•Experience leading or reviewing customer behavior and propensity modeling, applied forecasting, optimization, or marketing measurement
•Healthcare, DTC/subscription, or pharma background
Conditions: Not specified in the posting.

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