Data Scientist, EU Prime and Marketing Analytics & Science (PRIMAS), EU Prime and Marketing Analytics & Science (PRIMAS)
Core
Design and measure marketing experiments, build causal models, and own data infrastructure to drive customer engagement and sales for millions of users.
Role type
Senior IC data scientist (marketing analytics & science)
Builds
Automated large-scale analytics infrastructure, experiment pipelines, causal models, and dashboards for marketing teams
Domain
E-commerce, consumer analytics, marketing science
Deliverable
production ML models | product features | dashboards & analysis
Required skills
A/B testing design, causal inference, power analysis, SQL, Python, statistical modeling, data mining, experiment result validation, measurement framework design
Preferred skills
GenAI benchmarking, cross-disciplinary project leadership, quantitative business problem solving
Technologies
Python, SQL, R, SAS, Matlab, SEM/SEO, Display, Social, Mobile, Email
Responsibilities
Design and implement scalable experiments (A/B, geo, holdout) to measure marketing incrementality; Perform power analysis and MDE calculations; Build causal and treatment-effect models for downstream systems; Develop ETL pipelines and metric definitions; Create measurement frameworks and dashboards; Apply statistical/ML techniques to ambiguous business problems; Analyze experiment results for validity and anomalies; Establish repeatable processes for experiment design and analysis
Seniority
Senior, hands-on IC
