Staff Data Scientist - Growth
Tasks
- Build AI tools and agents for causal analysis and metric validation
- Collaborate with analytics engineering on semantic layer
- Define metrics artifacts and monitoring SLAs
- Design and build causal models
- Lead analytics for monthly business reviews
- Own causal layer metrics tree validation
- Partner with data science and analytics teams to run experiments
- Stress test strategic assumptions for leadership decisions
- Support pricing and commercial modeling with analytics
- Validate causal links in metrics tree
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | Airtable | Analytics | B testing | Causal Inference | Causal Models | Causal analysis | Commercial Analytics | Data Modeling | Difference-in-differences | Econometrics | Experimental Design | Experimental Methods | Experimentation | Instrumental Variables | Metric Validation | Pricing Analytics | Production Code | Python | Quasi Experimental | Quasi-experimental methods | Revenue Modeling | SQL | Semantic layer | Structural Causal Models | Synthetic control
Education
N/A
Roles
Regions
Countries
States
Cities
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