Senior Product Analyst / Data Scientist
Tasks
- Analyze funnels and cohorts
- Analyze product metrics
- Build AI agents for analysis
- Build and maintain reference dashboards
- Build churn and LTV models
- Build natural language data interfaces
- Build player segmentation models
- Contribute to data stack modeling and quality
- Correct for multiple comparisons
- Create production Python pipelines
- Design and analyze A/B tests
- Detect anomalies
- Develop predictive models
- Enable text to SQL
- Implement automated alerting
- Improve data orchestration
- Industrialize data science analyses
- Perform statistical power analysis
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | Anomaly Detection | B testing | Causal Inference | Churn Prediction | Data Pipelines | Hypothesis Testing | LLM | LTV prediction | Looker | Looker Studio | Machine Learning | Multiple Comparison Correction | Packaging | Pandas | Player segmentation | Power analysis | Python | Query Optimization | RAG | Regression | SQL | Scikit-learn | Statistical Power | Statistical power analysis | Testing | Text-to-SQL | Window Functions
Education
N/A
Roles
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