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.
As a Staff Data Scientist at Hims & Hers, you are a technical leader and a "force multiplier" for our data organization. You will serve as a technical anchor, simplifying ambiguous problems into executable paths for the team.
Responsibilities:
- Architect the 0-to-1 Foundation: Lead the design and implementation of automated ML systems.
- Translate Business Needs: Turn ambiguous business questions 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.
- Own the Results: Take accountability for the full model lifecycle, from the initial data design through to the long-term performance and business value of production systems.
- Mentorship & Coaching: Actively mentor Senior and Mid-level Data Scientists, elevating the technical bar and fostering a culture of continuous learning across the data organization.
Requirements:
- 8+ years of experience in Data Science or ML Engineering, with a proven track record of building production systems that deliver measurable business impact.
- Technical Mastery: High proficiency in Python and SQL.
- Systemic Problem Solving: Ability to work on unique issues requiring conceptual thinking and broad impact.
- Leadership & Influence: Proven ability to influence without authority.
- Engineering Rigor: Experience with CI/CD, ML Ops, and managing the full lifecycle of models in a cloud-based production environment.
Preferred Qualifications:
- 0-to-1 Execution: Experience taking the very first machine learning models in an organization from exploratory notebooks to reliable, automated production pipelines.
- Advanced Business ML: Experience in customer behavior & propensity modeling, applied forecasting, optimization, or causal inference.
Benefits:
- Competitive salary & equity compensation for full-time roles.
- Unlimited PTO, company holidays, and quarterly mental health days.
- Comprehensive health benefits including medical, dental & vision, and parental leave.
- Employee Stock Purchase Program (ESPP).
- 401k benefits with employer matching contribution.
- Offsite team retreats.