Data Scientist II, Rapid & Rural Logistics (R2L) Analytics
Core
Build ML models and statistical analyses to optimize Amazon's ultra-fast supply chain for groceries and same-day delivery, improving product availability and reducing costs.
Role type
Senior IC data scientist (supply chain optimization)
Builds
Production ML models and automated data analysis pipelines for logistics
Domain
Retail / E-commerce / Supply Chain
Deliverable
production ML models
Required skills
SQL, Python, R, SAS, Matlab, machine learning, statistical modeling, AI system evaluation, theoretical model application
Preferred skills
GenAI benchmarking, cross-disciplinary project leadership, quantitative business analysis
Technologies
Python, Perl, R, SAS, Matlab, SQL
Responsibilities
Translate business problems into data science tasks, design and evaluate innovative statistics and ML models, establish scalable automated processes for model development and validation, identify business opportunities to shape key processes, communicate complex concepts to stakeholders
Seniority
Senior, hands-on IC
