Senior Product Data Scientist
Tasks
- Build predictive models churn risk uplift
- Conduct user behavior segmentation lifecycle analysis
- Define analytics best practices methodologies
- Design, execute, analyze experiments
- Develop product metrics dashboards reporting
- Drive product analytics
- Establish experimentation standards best practices
- Own A B testing lifecycle
- Partner with product growth engineering
- Provide data driven product strategy insights
Perks/Benefits
- Employee referral bonus
- Flexible working
- Office meals and snacks
- Private health cover
- Retirement savings plans
- Sustainable commuting
Skills/Tech-stack
A/B | A/B Testing | B testing | Causal Inference | Churn Prediction | DBT | Dashboards | Data Modeling | Data Visualization | Experimentation Frameworks | Hypothesis Testing | Machine Learning | Predictive Modeling | Python | Reporting | SQL | Statistics | Uplift Modeling
Education
N/A
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