Sr. Manager, Data Science
Hims & Hers · Remote · UK Remote ·
COMPENSATION
€100k – €130k
Listed on the employer's job board (Ashby)
- Senior Management Role
- Fully Remote (UK/US)
- Build New UK Team
- Python + SQL + ML
- Transatlantic Collaboration
Join Hims & Hers as one of the first members of the UK data science function. You will help establish the team's culture, norms, and technical standards while operating as an integrated part of the US-based organization. This role requires balancing strategic roadmap planning with hands-on technical guidance to deliver impactful health and wellness solutions.
What you'll do
- Shape working norms and technical culture for the new UK team
- Collaborate with US colleagues to maintain consistent standards and priorities
- Partner with leadership to prioritize business requests into a shared roadmap
- Review designs and code to ensure high-quality technical decisions
- Resolve ambiguous problems and provide tie-breaking technical guidance
- Enforce engineering rigor including code review and model monitoring
- Ensure team deliverables ship reliably and achieve business outcomes
What you'll need
- 8+ years in Data Science or ML Engineering
- 2+ years managing data scientists or ML engineers directly
- Experience building or shaping a new team or region from early stages
- Proven track record in distributed or international team collaboration
- Strong proficiency in Python, SQL, and applied machine learning methods
- Ability to prioritize roadmaps under constraint and communicate tradeoffs
- Familiarity with production ML systems, cloud environments, and MLOps
- Degree in a quantitative field or equivalent empirical research experience
Nice to have
- Experience working across US/UK split teams during expansion
- Background in customer behavior or propensity modeling
- Expertise in time-series forecasting or demand planning
- Knowledge of marketing mix modeling or attribution testing
- Industry experience in healthcare, DTC, subscription, or pharma
Stack
- Python
- SQL
- Machine Learning
- Cloud Environments
- CI/CD
- MLOps
How you'll work
- Fully remote position based in the UK
- Collaboration with US-based team requires hour overlap
- Part of a distributed global technology hub