Senior Data Scientist

Join Hims & Hers as a Senior Data Scientist, where you will drive technical execution and innovation within our data organization. You will translate complex business challenges into scalable data products and machine learning models, working closely with Product, Engineering, and Business stakeholders. You will own the complete model lifecycle, uphold technical standards, drive project delivery, and provide mentorship to junior data scientists and analysts. Enjoy generous PTO, full healthcare coverage, retirement planning, and the flexibility to work from anywhere in the US.

About Hims & Hers

0-to-1 Execution: Experience taking the very first machine learning models in an organization from exploratory notebooks to reliable, automated production pipelines

We are committed to building a workforce that reflects diverse perspectives and prioritizes ethics, wellness, and a strong sense of belonging. If you're excited about this role, we encourage you to apply—even if you're not sure if your background or experience is a perfect match

Responsibilities

• Conduire l'exécution technique et l'innovation au sein de l'organisation des données, en traduisant des défis commerciaux complexes en produits de données robustes et évolutifs.
• Collaborer étroitement avec les équipes Produit, Ingénierie et Finance pour définir les exigences techniques et traduire les résultats des modèles en informations commerciales claires et exploitables.
• Posséder le cycle de vie complet du modèle, de l'extraction des données et de l'ingénierie des fonctionnalités à la mise en production, aux tests A/B et à la surveillance continue des performances.
• Causal Inference: Designing robust experiments (e.g., quasi-experiments, difference-
• Optimization: Building engines for marketing spend, inventory management, or resource allocation

Requirements

• 5+ years of applied experience in Data Science or ML Engineering, with a track record of delivering production-ready models that drive measurable business value
• Education: BS, MS, or equivalent experience in a quantitative field (Data Science, Statistics, Economics, CS, Applied Math, etc.)
• Communication: Excellent ability to explain technical concepts, model limitations, and analytical findings to non-technical stakeholders
• Analytical Problem Solving: Strong ability to connect technical metrics to business outcomes. You know how to choose the right algorithm for the right problem rather than just the most complex one
• Engineering Rigor: Proven ability to build for production. Experience working in cloud-based environments (AWS or GCP) and familiarity with CI/CD workflows, version control (Git), and ML Ops principles
• Technical Proficiency: Strong expertise in Python and SQL. Deep familiarity with the Python data stack (pandas, NumPy, scikit-learn) and standard ML frameworks (such as PyTorch, XGBoost, or LightGBM)
• Customer Behavior & Propensity Modeling: Building predictive models for churn, propensity-to-buy, lead scoring, or lifetime value (LTV) to directly drive targeted marketing and product interventions
• Applied Forecasting: Time-series forecasting, anomaly detection, or handling non-stationary data for demand or revenue planning

Preferred

• Advanced Business ML (Experience in 1-2 of the following):

Pay

USD 150,000 - 180,000