Data Scientist, 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.
Role type
Senior IC data scientist (marketing analytics & science)
Builds
Automated large-scale analytics infrastructure, dashboards, and measurement frameworks for marketing channels
Domain
E-commerce, consumer analytics, marketing science
Deliverable
production ML models
Required skills
SQL, Python, R, causal modeling, power analysis, A/B testing design, statistical analysis, data pipeline development, machine learning
Preferred skills
Ph.D. in STEM, Hadoop/Spark/Map-reduce, AI system evaluation, clustered data processing
Technologies
SQL, Python, R, Hadoop, Spark, Hive, SPSS, SAS
Responsibilities
Design and implement scalable experiments (A/B, geo, holdout); Perform power analysis and MDE calculations; Build causal and treatment-effect models; Build ETL, metric definitions, and datasets; Develop measurement frameworks and dashboards; Apply statistical/ML techniques to ambiguous problems; Analyze experiment results for validity; Communicate results to business and leadership; Establish scalable processes for experiment design and analysis