Data Scientist – Incremental Player Value
United Kingdom, London
GBP 65K-94K (estimate) Senior-level Full Time
Tasks
- Analyze behavioral and transactional datasets
- Analyze observational studies
- Apply causal inference methods
- Design experiments and quasi-experiments
- Develop causal measurement frameworks
- Evaluate uplift and incrementality
- Forecast customer lifetime value
- Measure incremental player impact
- Operationalize causal insights in decision making
- Recommend actionable insights for stakeholders
Perks/Benefits
- Cycle garage
- Dental scheme
- Free soft drinks
- On-site bar
- On-site gym
- Paid time off
- Private medical insurance
- Shower facilities
- Subsidised café
Skills/Tech-stack
A/B | A/B Testing | B testing | Bayesian Methods | Causal Inference | Causal Machine Learning | Causal forests | Data Pipelines | Difference-in-differences | Double Machine Learning | Experiment design | MLOps | Machine Learning | Meta learners | Propensity Score Matching | Propensity score | PySpark | Python | SQL | Score Matching | Statistics | Synthetic control | Uplift Modeling
Education
Roles
Causal Inference Specialist | Data Scientist | Scientist | Specialist
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