Senior Commercial Data Scientist
Tasks
- Collaborate with analytics engineers to define production data products
- Define dashboard requirements
- Define metric intent
- Design KPI trees
- Generate hypotheses
- Influence product roadmaps and marketing strategies
- Lead problem framing sessions
- Own decision-making and problem framing
- Perform regression analysis
- Produce decision memos for directors
- Run A B tests and quasi-experiments
- Run causal inference analyses
- Specify data tracking plans
- Translate business challenges into analytical problems
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | Analytics engineering | B testing | CUPED | Causal Inference | Confidence Intervals | Data Validation | Difference-in-differences | Experiment design | Experimental Design | KPI Trees | Quasi-Experimental Design | Regression | Regression discontinuity | SQL | Snowflake | Synthetic controls | Variance reduction
Education
N/A
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