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Staff Data Scientist

Hims & Hers· ANALYTICS & DATA SCIENCE
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Hybrid (London, England)£95k - £115kFull-timePosted 1mo ago

About the role

Technical leader responsible for bridging business strategy and production-ready ML, designing automated ML systems, and guiding the data organization to deliver measurable business results.

Responsibilities

  • Architect the 0-to-1 Foundation: design and implement automated ML systems, balancing pragmatic choices while writing production code and establishing core ML infrastructure.
  • Translate Business Needs: turn ambiguous business questions into technical roadmaps with actionable results.
  • Drive Execution and Reliability: lead end-to-end deployment of ML products, ensuring robustness and integration into production infrastructure.
  • Connect Technical & Business Goals: collaborate with Engineering, Product, and Business to align technical strategy with business problems and core metrics.
  • Define Technical Standards: establish standards for model development, lead design docs and peer reviews for reproducibility and integration with Data and Analytics Engineering partners.
  • Own the Results: accountability for full model lifecycle from data design to long-term performance and business value of production systems.
  • Mentorship & Coaching: mentor Senior and Mid-level Data Scientists and foster continuous learning.

Qualifications

  • 8+ years of experience in Data Science or ML Engineering with a track record of production systems delivering measurable business impact.
  • Technical Mastery: Python and SQL proficiency; expert with pandas, NumPy, scikit-learn and at least one major ML framework (PyTorch, XGBoost, LightGBM).
  • Systemic Problem Solving: ability to tackle unique issues with long-term scalability and immediate value.
  • Leadership & Influence: proven ability to influence without authority and communicate technical concepts to executives.
  • Engineering Rigor: experience with CI/CD, ML Ops, and lifecycle management of models in cloud environments (AWS or GCP).
  • Education: BS/MS/PhD in a quantitative field or equivalent experience.

Skills

Required:PythonSQLPandas / NumPy / scikit-learnPyTorch / XGBoost / LightGBM
Last updated Sep 16, 2026. Interested? Apply on the company site.

About Hims & Hers

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