Senior/Staff Data Scientist - Measurement, Experimentation & Causal Inference
United Kingdom, London
GBP 60K-81K (estimate) Senior-level Full Time
Tasks
- Apply causal inference to observational data
- Build statistical models for measurement
- Communicate evidence based recommendations
- Define experiment design best practices
- Design robust experimentation approaches
- Develop measurement methodologies
- Influence experimentation platform evolution
- Mentor data scientists and analysts
- Partner with product engineering analytics and business teams
- Perform statistical analysis for experiments
- Prototype machine learning techniques for measurement challenges
- Provide technical leadership for measurement strategy
Perks/Benefits
- Annual leave
- Complimentary soft drinks
- Cycle storage and shower facilities
- Dental scheme
- Hybrid working
- On-site bar
- On-site gym
- Private medical insurance
- Subsidised café
Skills/Tech-stack
A/B | A/B Testing | Airflow | B testing | Causal Inference | Databricks | Domo | Experimental Design | Experimental Methods | Git | Language Models | Large Language Models | Machine Learning | Power BI | Python | Quasi Experimental | Quasi-experimental methods | SQL | Snowflake | Statistical modeling | Tableau | Time Series
Education
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