Senior Data Scientist, Revenue & Risk Analytics
Core
Develop strategic recommendations grounded in data to scale, drive, and recover revenue for retailers and their customers.
Role type
Senior IC data scientist (revenue & risk analytics)
Builds
Revenue optimization strategies, risk mitigation programs, and product features that change how the company makes money
Domain
Retail e-commerce, revenue management, risk analytics
Deliverable
production ML models
Required skills
strategic thinking, experimentation, causal inference, forecasting, modeling, SQL, Python, A/B testing, Snowflake, dbt, Github
Responsibilities
Own and identify innovative strategies across the revenue waterfall to grow and recover revenue; Build talk tracks and narratives backed by data insights from testing, Monte Carlo simulations, and/or ML models; Test optimization ideas and make the case to Product and Engineering to turn them into features; Own, refine, and improve existing data pipelines to harness the power of data analytics
Seniority
Senior, hands-on IC
