Senior Data Scientist, Commerce Analytics & Insights
Core
Lead the data and methodological backbone of Commerce Analytics and Insights by building reliable pipelines, defining metrics, and ensuring analytical rigor.
Role type
Senior hands-on data scientist (analytics engineering focus)
Builds
Scalable analytical pipelines, trusted metrics, and operational workflows for commerce insights
Domain
E-commerce / Retail analytics
Deliverable
production ML models
Required skills
SQL, Python, Spark, data pipeline development, metric design, data quality assurance, business logic interpretation, experimentation, large-scale dataset handling
Preferred skills
Documentation of methods, stakeholder education on metrics, automation of manual work, knowledge transfer
Technologies
Spark, SQL, Python
Responsibilities
Build and maintain data pipelines for recurring analytics, define and validate methodologies for key metrics, resolve data issues and inconsistencies, partner with stakeholders to translate business questions into analytical approaches, drive hands-on execution of analyses, contribute to process improvement and documentation
Seniority
Senior, hands-on IC