Staff Data Scientist (Product & Ops)
Tasks
- Build statistical models and analyses
- Communicate insights to product engineering and executive stakeholders
- Conduct causal inference using experimentation and observational methods
- Define key metrics for roadmap impact
- Design and scale repeatable analytics frameworks
- Enable self serve analytics with existing tools
- Mentor data science peers
- Set up and scale experimentation programs
- Turn ambiguous questions into analytical recommendations
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | B testing | Causal Inference | DBT | Diffusion-in-Diff | ELT | ETL | Experimentation | Instrumental Variables | Inverse probability weighting | LLM | Lift measurement | Machine Learning | OLAP Databases | Propensity Score Matching | Propensity score | Python | R | SQL | Score Matching | Snowflake | Tableau | Variance reduction
Education
N/A
Roles
Regions
Countries
States
Cities
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