Senior Research Science Manager, Last Mile Science and Analytics
Core
Design and implement machine learning models, algorithms, and AI systems to optimize Amazon's last-mile delivery network, forecast demand, and enhance route efficiency.
Role type
Senior Research Science Manager (Last Mile Science and Analytics)
Builds
AI-powered logistics optimization systems, deep learning models for image recognition and scheduling, distributed computing solutions for massive datasets, and autonomous decision-making agents.
Domain
E-commerce logistics, operations research, machine learning, and big data analytics.
Deliverable
production ML models
Required skills
Operations research, machine learning, deep learning, time series forecasting, distributed computing, Python, Java, C++, algorithm design, statistical modeling, system architecture, research publication.
Preferred skills
PhD in quantitative field, patent experience, team management, business strategy shaping, large-scale distributed systems (Hadoop, Spark), reinforcement learning, geospatial analysis.
Technologies
Python, Java, C++, TensorFlow, PyTorch, Spark, Hadoop, AWS, scikit-learn, MxNet, numpy, scipy, R, Perl.
Responsibilities
Design and implement sophisticated ML models for logistics optimization; architect and deploy AI-powered systems for decision-making; develop complex time series forecasting algorithms; design distributed computing solutions for massive datasets; write efficient scalable code; publish research findings in top-tier conferences.
Seniority
Senior, hands-on IC with research leadership