Staff Data Scientist
Tasks
- Analyze product usage and customer behavior
- Apply causal inference and quasi-experimental methods
- Create data stories and recommendations
- Define product success metrics
- Design and evaluate experiments end to end
- Design instrumentation and measurement strategies
- Develop reusable analytical frameworks and tools
- Mentor data scientists and raise analytical bar
- Partner on data models and data foundations
- Perform regression segmentation forecasting predictive modeling
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | Airflow | Amplitude | Applied statistics | B testing | Causal Inference | Cohort Analysis | DBT | Data Storytelling | Data Visualization | Databricks | Experimental Methods | Experimentation | Forecasting | Funnel Analysis | Git | Hypothesis Testing | Instrumentation | Power analysis | Predictive Analytics | Predictive Modeling | Product Analytics | Python | Quasi Experimental | Quasi-experimental methods | Regression | Retention analysis | SQL | Segmentation | Sigma | Statsig | Tableau
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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