Senior Applied Scientist, Modeling and Optimization
Core
Design, implement, and evaluate state-of-the-art solutions for large-scale optimization problems to improve last-mile delivery experience and global fulfillment operations.
Role type
Senior Applied Scientist (Modeling and Optimization)
Builds
Optimization models and tools for vehicle routing, network planning, and fulfillment center processes.
Domain
Logistics, Supply Chain, Operations Research
Deliverable
production ML models
Required skills
Combinatorial optimization, Algorithms, Algorithm engineering, Data structures, Machine learning, Statistical modeling
Preferred skills
Applied research, Network topology analysis, Capital investment planning
Technologies
C/C++, Python, Java, Perl, R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy
Responsibilities
Develop algorithms for vehicle routing and related problems; Analyze transportation network topology and inventory placement; Create metrics to quantify improvements to fulfillment costs; Plan location and deployment of fixed assets.
Seniority
Senior, hands-on IC
