Staff Data Scientist (Product & Ops)
Tasks
- Apply causal inference methods for experimentation and program evaluation
- Build models and statistical analyses to prioritize roadmap items
- Define success metrics and influence leaders to adopt recommendations
- Design and scale repeatable analytics frameworks for self serve use
- Lead data science strategy for mentoring and technical guidance
- Partner with product engineering design clinical operations and machine learning to define analytical recommendations
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | B testing | Causal Inference | DBT | Diff-in-diff | ELT | ETL | Experimentation | Hex | IPW | Instrumental Variables | LLM | Lift measurement | Machine Learning | Propensity Score Matching | Propensity score | Python | R | RCT | SQL | Score Matching | Snowflake | Tableau | Variance reduction
Education
N/A
Roles
Regions
Countries
States
Cities
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