Lead Data Scientist - Recommendation System
Tasks
- Analyze experiment results
- Apply statistical rigor
- Build dashboards and reporting
- Build predictive models
- Conduct churn risk prediction
- Conduct user behavior analysis
- Define key product metrics
- Design and execute experiments
- Drive product analytics
- Establish analytics best practices
- Partner with product and engineering
- Perform uplift modeling
- Recommend product changes
- Run A/B testing
- Use causal inference
Perks/Benefits
- Cycle to work scheme
- Electric vehicle salary sacrifice scheme
- Employee referral bonus
- Flexible working
- In person socials and off sites
- Office meals and snacks
- Private health cover
- Retirement savings plan
Skills/Tech-stack
A/B | A/B Testing | B testing | Causal Inference | Churn analysis | DBT | Data Modeling | Data Visualization | Experiment design | Hypothesis Testing | Predictive Modeling | Python | SQL | Statistical Analysis | Uplift Modeling
Education
N/A
Roles
Data Scientist | Lead | Lead Data | Lead Data Scientist | Product Data Scientist | Scientist
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