Data Scientist - Measurement, Experimentation & Causal Inference
Tasks
- Apply machine learning to measurement problems
- Build statistical models
- Communicate insights to stakeholders
- Design experimentation approaches
- Develop dashboards and reusable code
- Execute A B testing and quasi experimental studies
- Improve experiment design and causal measurement best practices
- Measure product and commercial impact
- Partner with product and engineering teams
- Perform observational causal inference
Perks/Benefits
- Annual leave
- Complimentary soft drinks
- Cycle storage showers
- Dental scheme
- Hybrid working
- On-site bar
- On-site gym
- Private medical insurance
- Subsidised café
Skills/Tech-stack
A/B | A/B Testing | B testing | Causal Inference | Data Visualization | Experiment design | Experimental Methods | Machine Learning | Observational Causal Inference | Python | Quasi Experimental | Quasi-experimental methods | SQL | Statistical modeling
Education
Roles
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