Data Scientist - eCommerce Strategy

What You’ll Do

We’re looking for a Senior Manager to lead a team focused on creating initiatives for future strategies across Walmart that enhance our eCommerce Customer Value Proposition. This is a high-impact, high-visibility role with expectations to deliver immediate results. In this role, you’ll primarily create a long-term strategy and transformative path for Walmart’s rapidly growing omnichannel business.

• Manage and execute entire projects from start to finish, including cross‑functional project management, data collection and manipulation, analysis and modeling, and the communication of insights and recommendations.
• Build scalable and complex models and processes to optimize digital and physical flows with the goal of delivering an excellent customer experience while balancing long‑term financial efficiency.
• Develop strong relationships with Walmart functional areas to identify best practices, solicit input/data, coordinate interdisciplinary initiatives, and gather support for recommendations.
• Identify areas of opportunity and influence execution of results via cross‑functional participation to enable quick wins and continuous improvement.
• Obtain alignment from relevant business partners and management support for projects and lead discussions to drive change.
• Effectively organize, assemble, and use all available resources when given a project to ensure success.

• Bring a high degree of originality and creativity when developing solutions to improve existing business processes within the customer eCommerce journey, utilizing methods such as statistical analysis, regression modeling, and optimization.
• Are adept at dealing with ambiguity and making independent decisions about what data and approach is best for the task at hand.
• Excel in communicating with individuals and groups at all levels of an organization.
• Have experience leading a team of exceptionally creative retail strategy practitioners and data scientists.
• Have 8‑10 years of supply chain/customer advanced modelling experience.
• Have 4‑6 years of supervisory experience.

• Create models to analyze the supply‑chain network needed to support future sales growth with scenario‑modeling capabilities to understand sensitivity to multiple variables; open, close, or repurpose distribution centers; conduct scenario analysis to evaluate multiple network designs and impact on customer experience and cost to serve.
• Develop inventory planning and distribution strategy to optimize cost to serve and improve customer experience and stock availability with a tiered storage network and dynamic real‑time distribution network.
• Identify high‑value actions that drive conversion during digital commerce using operational and digital data.

• MBA, MS, or PhD in Operations Research, Industrial Engineering, Operations Management, or Supply Chain Management.
• Experience with large dataset mining tools and open‑source programming tools (e.g., R, Python, HiveQL, Spark).
• Experience with advanced analytical modeling tools, network optimization, and long‑range planning.
• 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.
• Retail industry experience.
• Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, successful completion of one or more assessments in Python, Spark, Scala, or R, using open‑source frameworks (e.g., scikit‑learn, Tensor Flow, Torch).
• Candidates with a background in creating inclusive digital experiences, knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.
• Knowledge of accessibility best practices and willingness to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.