Staff Data Scientist
Staff-level technical leader in Hims & Hers' data org (London): turns ambiguous business problems into production ML for growth, supply chain and marketing attribution, sets modeling standards, and mentors data scientists. Core stack: Python, SQL, pandas/NumPy/scikit-learn, PyTorch/XGBoost, AWS/GCP, CI/CD and ML Ops.
- Compensation
- £95K–£115K / yr
- Location
- London, United Kingdom
- Work setup
- Hybrid
- Seniority
- Staff
- Employment
- Not specified
- Experience
- 8+ years
- Category
- Data science
- Posted
Skills
Must have
- 8+ years of experience in Data Science or ML Engineering with production systems delivering business impact
- High proficiency in Python and SQL
- Expert-level experience with the Python data stack (pandas, NumPy, scikit-learn)
- Experience with at least one major ML framework (PyTorch or XGBoost/LightGBM)
- Experience with CI/CD, ML Ops, and full model lifecycle in a cloud production environment (AWS or GCP)
- BS, MS, or PhD in a quantitative field (Data Science, Statistics, Economics, CS, Applied Math) or equivalent
- Proven ability to influence without authority and communicate technical logic to executive leadership
Nice to have
- Experience taking first ML models from exploratory notebooks to automated production pipelines (0-to-1)
- Customer behavior & propensity modeling (churn, propensity-to-buy, lead scoring, LTV)
- Applied forecasting (time-series forecasting, anomaly detection, non-stationary data)
- Optimization engines for marketing spend, inventory management, or resource allocation
- Causal inference (quasi-experiments, difference-in-differences) beyond standard A/B testing
Full description
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 and . For information on the company’s outstanding benefits, culture, and its talent-first flexible/remote work approach, see below and visit .
About the Role:
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.
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.
You Will:
- Architect the 0-to-1 Foundation: 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.
- Translate Business Needs: Turn ambiguous business questions (from customer acquisition to churn dynamics) into concrete technical roadmaps that deliver clear, actionable results
- Drive Execution and Reliability: 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
- Connect Technical & Business Goals: Partner across Engineering, Product, and Business to ensure our technical strategy is solving the right business problems and moving our core metrics
- Define Technical Standards: 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