Senior Manager, Data Science: Walmart US Finance Data and Intelligence

Walmart US Finance Data & Intelligence is the team responsible for driving the next wave of growth for Walmart US by creating solutions that propel the business forward. The team tackles challenges in areas like Supply Chain, Operations, Merchandising, and Customer experience, using time-series forecasting and Generative AI. The organization is committed to using data and intelligence to shape key business decisions.

About the Role
This is a senior individual contributor role within the Finance D&I organization. The Senior Manager, Data Science will work centrally to design high-impact forecasting models and Generative AI solutions that influence decisions on prices, inventory, contribution profit, and emerging platforms like Olympus. The role is positioned at the intersection of business process and technological innovation, and it's a key part of the organization's evolution.

Responsibilities
Forecasting & Applied ML:

Own the end-to-end development of predictive models for time series that are critical to Finance.

Drive continuous accuracy improvement through feature engineering, probabilistic modeling, and experimentation.

Design and implement deep-learning forecasting models (e.g., temporal convolutional networks, seq-to-seq architectures) to reduce manual work and enable scalable automation.

Generative AI Innovation:

Prototype and implement LLM-based tools that simplify finance workflows, such as automated commentary, scenario generation, and anomaly explanations.

Evaluate vendor models vs. bespoke training and establish guardrails for responsible AI.

Prototype GenAI solutions that replace manual commentary with "insight-on-demand" workflows across the Finance ecosystem, accelerating a shift to data- and intelligence-driven processes.

Strategic Influence:

Translate complex insights into clear recommendations for Finance leadership, Merchandising, and Supply Chain.

Partner with the Transformational Platforms director to embed data science products into the Olympus platform and other enterprise initiatives.

Collaborate with functional partners and peers to align model outputs with real-world decision points and key performance indicator (KPI) ownership.

Requirements
Education: A bachelor's degree in a quantitative field (e.g., Statistics, Computer Science, Engineering, Economics, Finance) or equivalent practical experience. Advanced degrees are a plus.

Experience: 5+ years of experience applying machine-learning or advanced analytics to solve business and financial problems, with a proven ability to deliver measurable business impact.

Domain & Business Insight: Demonstrated success working at the intersection of data, finance, and operations. Must be comfortable partnering with Finance stakeholders on P&L-critical use cases.

Technical Toolkit: Proficiency in Python and SQL, with familiarity with ML/LLM frameworks.

Collaboration: Strong track record of driving cross-functional initiatives and accelerating solution adoption with analysts, engineers, and business partners.

Benefits
Walmart offers a range of benefits, including:

Competitive base salary + annual cash bonus + equity.

401(k) with company match.

Comprehensive health coverage (medical, vision, dental).

Parental leave, family care leave, bereavement, jury duty, and voting time.

Company-paid life insurance and short/long-term disability.

Company discounts, Military Leave Pay, and reimbursement for adoption and surrogacy expenses.

Live Better U, a Walmart-paid education benefit program for full-time and part-time associates.