Staff Data Scientist, Product
MD Bethesda Office, United States
USD 115K-230K Senior-level Full Time
Tasks
- Apply causal inference methods when randomization is not feasible
- Build opportunity sizing forecasting and ROI models
- Define goal metrics and metric trees
- Design power and analyze A B tests and quasi experiments
- Lead root cause investigations into user behavior and funnel performance
- Mentor junior data scientists and analysts
- Partner with product engineering and design leaders to frame questions
- Present results and recommendations to senior leadership
- Translate findings into recommendations for product engineering and leadership
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | B testing | Bayesian Methods | Causal Inference | Difference-in-differences | Experiment design | Forecasting | Hierarchical models | Instrumental Variables | Opportunity sizing | Propensity Score Matching | Propensity score | Python | R | ROI modeling | SQL | Score Matching | Sequential testing | Statistical Analysis | Switchback Design | Synthetic control | Time Series | Uplift Modeling
Education
Roles
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