Principal Data Scientist
Core
Drive business growth and product relevance by analyzing big data, building metrics systems, and designing A/B tests to improve recommendation systems and engagement.
Role type
Principal Data Scientist (Strategy & Analytics)
Builds
Self-service dashboards, metrics systems, and A/B test frameworks for recommendation engines and business health.
Domain
E-commerce, Advertising, Big Data Analytics
Deliverable
production ML models | dashboards & analysis | research
Required skills
Statistical modeling, A/B test design, Big data processing (PySpark/Scala), Business modeling, ROI analysis, Stakeholder management, Data storytelling, Product analytics, Web analytics, Content analytics
Preferred skills
Knowledge of advertising ecosystem, Online shopping metrics
Technologies
PySpark, Scala
Responsibilities
Analyze large datasets to identify patterns and trends for recommendation systems; Build metrics systems to measure business health and identify root causes; Design and conduct A/B tests to evaluate algorithm performance; Conduct business modeling to identify growth opportunities; Develop self-service dashboards and reports for stakeholders; Collaborate with cross-functional teams to estimate feature impacts and drive engagement improvements.
Seniority
Principal, strategy & mentorship