Data Scientist, Labs, SCOT Forecasting and Labs
Core
Designing and operating large-scale randomized controlled trials and causal inference experiments to evaluate supply chain policy updates across millions of products and fulfillment nodes.
Role type
Senior IC data scientist (causal inference & experimentation)
Builds
Production-grade experimentation infrastructure, supply chain emulation systems, and analytical tools for policy evaluation
Domain
Supply chain optimization, causal inference, large-scale experimentation
Deliverable
production ML models | product features | dashboards & analysis
Required skills
machine learning, statistical modeling, data mining, SQL, Python, treatment effect estimation, interference modeling, emulation techniques, exploratory data analysis
Preferred skills
PhD, advanced causal inference methodology
Technologies
Python, SQL, Scala
Responsibilities
Partner with customer teams to design rigorous large-scale experiments; Lead the end-to-end experimentation lifecycle from hypothesis to analysis; Advance causal inference methodology for supply chain settings; Build and maintain production-grade experimentation infrastructure; Perform large-scale exploratory data analysis; Develop and scale supply chain emulation systems; Translate complex research findings into clear insights for stakeholders
Seniority
Senior, hands-on IC
