This role shapes the last mile fulfillment strategy by blending operations research, simulation, and data science to improve speed, cost, and guest experience
Job Summary
This role shapes the last mile fulfillment strategy by blending operations research, simulation, and data science to improve speed, cost, and guest experience.
You will build scalable decision models to optimize delivery zones, capacity allocation, carrier mix, and routing tradeoffs while minimizing total cost-to-serve.
The position requires translating ambiguous business questions into well-defined analytical problems and driving cross-functional execution from proof-of-concept to production implementation.
Matching Summary
This role shapes the last mile fulfillment strategy by blending operations research, simulation, and data science to improve speed, cost, and guest experience.
Salary
Not specified; Not specified; Not specified
Skills & Requirements
Must-have
8+ years professional experience
Python programming and SQL
Operations research optimization simulation
Large dataset handling
Cross-functional stakeholder management
Nice-to-have
PySpark or R programming skills
LLM and modern ML framework experience
Retail e-commerce last mile logistics background
Mentoring and technical review capabilities
Key Requirements
Bachelor's or Master's degree in Math, Statistics, CS, IE, OR
4+ years hands-on Python and SQL programming
4+ years applying operations research and advanced analytics