Data Scientist III, Rapid & Rural Logistics (R2L) Science & AI
Core
Inform the data science charter for Amazon's rapid and rural logistics (R2L) supply chain, focusing on ultra-fast customer experiences like Amazon Fresh and Sub-Same Day.
Role type
Senior data scientist (causal inference & analytics)
Builds
Data-driven insights and machine learning models for next-generation supply chain
Domain
Logistics / Supply Chain / Retail
Deliverable
production ML models | dashboards & analysis
Required skills
SQL, Python, R, SAS, Matlab, statistical modeling (multinomial logistic regression), causal inference, data querying
Preferred skills
Data visualization (AWS QuickSight, Tableau, R Shiny), data pipeline management, team leadership and mentorship
Technologies
AWS QuickSight, Tableau, R Shiny, SQL, Python, R, SAS, Matlab
Responsibilities
Analyze data to identify opportunities for customer delight, apply machine learning techniques and causal inference models, produce high-quality data analyses with clear findings and recommendations, support multiple business and technical stakeholders with high-velocity analytics
Seniority
Senior, hands-on IC