Hims & Hers
Sr. Data Scientist
$150K–$180K
US - Remote · Remote · Senior · Full-time · Posted Sep 24, 2026
- Experience
- 5+ years of applied experience in Data Science or ML Engineering.
- Education
- BS, MS, or equivalent experience in a quantitative field.
About the job
Build and deploy data products and machine learning models that improve operations, marketing, and customer experience, owning projects from analysis through production.
What you'll do
- Own model development end to end, including data extraction, feature engineering, deployment, A/B testing, and performance monitoring.
- Collaborate with Engineering, Product, and Finance to define requirements and turn model outputs into actionable business insights.
- Maintain production-quality engineering practices, deliver projects, and mentor junior data scientists and analysts.
What they ask for
- 5+ years of applied experience in Data Science or ML Engineering and a record of delivering production-ready models with measurable business value.
- Strong expertise in Python and SQL; familiarity with pandas, NumPy, scikit-learn, and standard ML frameworks.
- Experience in cloud environments (AWS or GCP), CI/CD workflows, Git, and MLOps principles.
- BS, MS, or equivalent experience in a quantitative field.
Nice to have
- Experience building initial ML models and taking them from exploratory notebooks to automated production pipelines.
- Experience in one or two areas such as customer behavior modeling, forecasting, optimization, or causal inference.
Pay
$150K – $180K USD base salary
Tools
Python, SQL, pandas, NumPy, scikit-learn, PyTorch, XGBoost, LightGBM
AI focus
Develop and deploy machine learning models for operations, marketing, customer experience, and business planning.
Model-written summary · the original posting is authoritative