Product Data Scientist, Employee Experience & Productivity, IS&T
Tasks
- Build and maintain dashboards and reports
- Collaborate with product leaders and program managers
- Conduct product analytics to measure adoption and engagement
- Develop metrics for value delivery
- Identify trends and anomalies
- Prepare data from multiple systems
- Present findings to technical and non-technical stakeholders
- Run hypothesis testing regression and causal analysis
- Use AI tools to accelerate analytics
- Write SQL for data modeling and analysis
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | B testing | Causal Inference | Clickstream analytics | Feature Flagging | GitHub | Hypothesis Testing | Looker | Python | R | Regression Analysis | SQL | Statistical modeling | Tableau | Version control
Education
Roles
Regions
Countries
States
Cities
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