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Senior Manager, Data Science - Last Mile Optimization - Walmart
Data Scientist
Lead data science initiatives to optimize last‑mile logistics, leveraging advanced machine learning, statistical forecasting, and operations research tools such as Python, R, and CPLEX to deliver scalable, high‑impact solutions.
About the role
Key Responsibilities
- Design, develop, and deploy predictive models and optimization algorithms to improve last‑mile delivery efficiency and cost.
- Lead cross‑functional teams, translating business requirements into analytical solutions and communicating insights to stakeholders.
- Oversee end‑to‑end data science projects, ensuring rigorous validation, scalability, and production readiness.
- Mentor and grow a high‑performing data science team, fostering a culture of continuous improvement and innovation.
- Collaborate with operations, supply chain, and engineering to integrate models into live systems and monitor performance.
Requirements
- 10+ years of experience in data science or analytics, with at least 5 years in a managerial or lead role.
- Deep expertise in machine learning, statistical forecasting, and operations research, with hands‑on experience in Python, R, and CPLEX.
- Proven track record of delivering large‑scale, production‑ready models that drive measurable business impact.
- Excellent written and verbal communication skills, with the ability to influence senior stakeholders.
- Strong leadership skills, including team building, mentorship, and cross‑functional collaboration.
Skills
pythonmachine learning