[Hiring] Staff Data Scientist @Hims & Hers

Role Description

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.

• Architect the 0-to-1 Foundation: Lead the design and implementation of automated ML systems, balancing "doing it right" with "doing it fast."
• 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 accurate, 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.
• Define Technical Standards: Establish standards for model development, leading design docs and peer reviews.
• Own the Results: Take accountability for the full model lifecycle, from initial data design to long-term performance.
• Mentorship & Coaching: Actively mentor Senior and Mid-level Data Scientists, fostering a culture of continuous learning.

Qualifications

• 8+ years of experience in Data Science or ML Engineering, with a proven track record of building production systems that deliver measurable business impact.
• High proficiency in Python and SQL, with expert-level experience in the Python data stack (pandas, NumPy, scikit-learn) and at least one major ML framework (such as PyTorch or XGBoost/LightGBM).
• Ability to work on unique issues requiring conceptual thinking and broad impact.
• Proven ability to influence without authority and translate complex technical logic into compelling narratives for executive leadership.
• Experience with CI/CD, ML Ops, and managing the full lifecycle of models in a cloud-based production environment (AWS or GCP).
• BS, MS, or PhD in a quantitative field (Data Science, Statistics, Economics, CS, Applied Math, etc.) or equivalent field expertise.

Requirements

• Experience taking the very first machine learning models in an organization from exploratory notebooks to reliable, automated production pipelines.
• Experience in 1-2 of the following areas:
• Customer Behavior & Propensity Modeling: Building predictive models for churn, propensity-to-buy, lead scoring, or lifetime value (LTV).
• Applied Forecasting: Time-series forecasting, anomaly detection, or handling non-stationary data for demand or revenue planning.
• Optimization: Building engines for marketing spend, inventory management, or resource allocation.
• Causal Inference: Designing robust experiments to measure true business impact beyond standard A/B testing.

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.