Walmart's Inventory Capabilities team is looking to drive the next generation of inventory science and strategy by shaping models and systems that maximize Customer Value Proposition (CVP) through ensuring the right items are in the right place, at the right time, in the right quantity, at the lowest cost.
Requirements
- Strong expertise in applied data science and advanced analytics (optimization, forecasting, simulation, machine learning)
- Experience implementing data science models using modern programming languages (e.g., Python, PySpark, R) and using large dataset mining tools (e.g., SQL)
- Experience with advanced analytical modeling tools, network optimization, and long-range planning
- Data science, machine learning, optimization models
- Using open source frameworks (for example, scikit learn, tensorflow, torch)
Responsibilities
- Design and deliver new models and algorithms across forecasting, placement, inventory targets, safety stock, and exits to optimize cost, speed, and customer experience.
- Apply advanced techniques in optimization, probabilistic forecasting, and ML to improve efficiency and resilience across Walmart’s global network.
- Lead projects from framing business problems, to building and validating models, to partnering with engineering for deployment.
- Advance scenario modeling, dynamic inventory placement, multi-echelon optimization, and placement orchestration for omni-channel fulfillment.
- Analyze large-scale datasets to refine model inputs (forecasts, cost structures, constraints) and improve accuracy and scalability.
Other
- Comfortability operating at both strategic and technical depth — from building models to influencing enterprise priorities
- Experience simplifying complex science for senior leaders and business partners to drive adoption and decision-making
- Ability to excel in ambiguous, high-pressure environments with multiple stakeholders and competing priorities
- A passion for solving global-scale inventory optimization challenges that directly improve customer experience
- Extensive experience or knowledge of eCommerce, retail and supply chain domains and related information systems — search, impressions, conversion, distribution/transportation, sourcing, planning, manufacturing, and inventory management
