As Senior Manager, Data Science – Mobius Digital Twin, Fulfillment Network Optimization, you will help drive evaluation of GMV and contribution profit opportunity by leading Mobius simulation strategy, translating complex operational data into actionable insights and recommendations that optimize sourcing, inventory, and network decisions. You will also help build and scale advanced modeling capabilities (Mobius, WFE simulations, AI-powered digital twin) to enable high-fidelity, data-driven decision making across Supply Chain and Marketplace—accelerating enterprise-wide optimization. About the Team The Mobius team sits within the supply chain strategy organization and is tasked with the creation of a Digital Twin Simulation platform for Walmart's supply chain. This innovative tool allows the team to test and validate all future strategies and tactical decisions before they are launched operationally. It also enables a deep assessment of long-term strategic sensitivity. This work helps to keep Walmart at the forefront of retail supply chain management, delivering exceptional service to customers while maintaining efficient operational costs. What you'll do... Partner with cross‑functional teams to support validation of tactical and strategic initiatives by leveraging Mobius simulations for scenario modelling. Partner with WFE business teams to optimize the WFE configurations and test new features pre-launch. Collaborate with multiple supply chain business teams to proactively identify, assess, and Leverage cost-saving and service improvement opportunities through advanced data analytics. Utilize advanced analytics models to derive insights that will inform policy design across various supply chain areas, laying out multiple scenarios and performing sensitivity analysis. Leverage data analytics to identify opportunities for improvement and drive impactful results through collaboration with cross-functional teams. Establish relationships across Walmart functional areas to identify best practices, solicit data/input, coordinate interdisciplinary initiatives, and rally support for data-driven recommendations. Collaborate with Data Scientists, Product Managers, and Engineers to productionize and scale advanced analytics models as needed. Develop and present compelling data-driven narratives/documents/visuals to influence key stakeholders in their decision-making. Provide coaching and training support to other team members in the supply chain area, leveraging your expertise in advanced data analytics. What You’ll Bring Strong analytical acumen with technical expertise in Advanced Data Analytics and modelling Strong communication skills, both written and verbal, plus ability to work with cross functional teams of technical and non-technical members. Ability to work effectively across matrixed teams and influence without direct ownership. Ability to synthesize complex analyses into clear, compelling narratives for senior audiences. Experience partnering cross‑functionally to influence strategic decisions. Comfort operating in ambiguous problem spaces with evolving priorities. The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
1-10 employees