Data Scientist, JCI Measurement and Optimization Science Team (JCI MOST)
Core
Design and execute quantitative studies to explain cost-to-serve variations, translating statistical findings into investment recommendations for Amazon Japan's logistics network.
Role type
Senior IC data scientist (cost-to-serve intelligence)
Builds
Quantitative models and research studies that drive operational investment decisions
Domain
Logistics / Supply Chain / Cost Optimization
Deliverable
production ML models | dashboards & analysis
Required skills
econometrics, statistical modeling, machine learning, causal inference, Python, SQL, data visualization, stakeholder management, research design
Preferred skills
GenAI evaluation, benchmarking, cross-functional project leadership, mathematical textbook/paper authorship
Technologies
Python, SQL, R, SAS, Matlab, Generative AI tools
Responsibilities
Design and execute quantitative studies to isolate root causes of cost variations; Translate statistical findings into prioritized investment recommendations; Partner with operations, finance, and supply chain to define research questions; Own the full research lifecycle from problem framing to stakeholder-ready deliverables; Apply scientific methods matched to specific problems; Communicate complex findings to technical and non-technical audiences
Seniority
Senior, hands-on IC with mentorship responsibilities
