Posted:
8/18/2025, 5:26:41 AM
Location(s):
Arkansas, United States ⋅ Bentonville, Arkansas, United States
Experience Level(s):
Senior
Field(s):
Data & Analytics
Principal, Data Science Strategy and Product – Retail Intelligence Team
About the Role:
Join Walmart’s Retail Intelligence Team as a Principal, Data Science Strategy and Product, and play a pivotal role at the intersection of AI innovation, product leadership, and operational transformation at the world’s largest omnichannel retailer. In this high-impact position, you will lead the development of cutting-edge AI solutions—including Walmart’s Store Digital Twin initiative—to optimize store operations, enhance associate productivity, and drive automation at scale.
You will drive vertical and horizontal activity scoping, innovation mapping, and retail science intelligence development, delivering transformative activations within Walmart US. Your work will focus on revolutionizing Supply Chain and In-Store Operations, collaborating with cross-functional teams across Supply Chain, Store Operations, Merchandising, and Innovation to bring intelligent systems to life.
What You’ll Do:
You’ll Sweep Us Off Our Feet If:
Preferred Qualifications:
You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.
For information about PTO, see https://one.walmart.com/notices.
Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
The annual salary range for this position is $110,000.00-$220,000.00
Additional compensation includes annual or quarterly performance bonuses.
Additional compensation for certain positions may also include:
- Stock
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 3: 7 years' experience in an analytics or related fieldOutlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.Website: http://www.walmart.com/
Headquarter Location: Bentonville, Arkansas, United States
Employee Count: 10001+
Year Founded: 1962
IPO Status: Public
Last Funding Type: Post-IPO Debt
Industries: E-Commerce ⋅ Grocery ⋅ Retail ⋅ Retail Technology ⋅ Shopping