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Position Summary... What you'll do...Role summary: As the Senior Director of Data Science for Membership, you will lead a high-performing data science organization using advanced analytics, machine learning, and statistical methods to strengthen membership performance and member value. You will set technical direction, translate complex business opportunities into scalable data science solutions, and partner with senior leaders across Sam's Club to deliver measurable outcomes. About the team: Membership is at the center of the Sam's Club business. Our team uses data and science to deepen our understanding of members, improve decision-making, and identify opportunities to strengthen the member experience and long-term membership performance. We work closely with business, product, engineering, analytics, and operational partners across Sam's Club. What you'll do:

• Data Science Leadership: Define the vision and technical direction for Membership Data Science and build, develop, and lead a high-performing team of data science leaders and practitioners.
• Membership Growth & Member Value: Apply data science across the member lifecycle to identify opportunities to strengthen acquisition, engagement, retention, renewal, upgrade, and long-term member value.
• Business Problem Formulation: Partner with business leaders to translate complex and ambiguous Membership opportunities into well-defined analytical problems, actionable insights, and scalable data science solutions.
• Advanced Analytics & Machine Learning: Lead the development of predictive models, machine learning solutions, statistical analyses, and other advanced analytical capabilities that improve member and business outcomes.
• Experimentation & Measurement: Establish rigorous approaches to experimentation, measurement, and model validation to evaluate business initiatives and quantify impact on members and Membership performance.
• Cross-Functional Partnership: Collaborate with leaders across Membership, Merchandising, Club Operations, Digital/eCommerce, Marketing, Supply Chain and Fulfillment, Product, Technology, and Analytics to connect data science to the end-to-end member experience.
• Scalable Data Science Solutions: Drive data science from exploration through deployment and adoption, partnering with engineering and technology teams to create reliable, scalable capabilities integrated into business processes and products.
• Executive Influence & Business Impact: Communicate complex analytical findings in clear business terms, influence senior-level decisions, and ensure the team's work translates into measurable improvements in Membership and enterprise performance.

What you'll bring:

• Proven experience building, scaling, and leading high-performing data science organizations, including senior technical talent and people leaders.
• Strong expertise in statistics, machine learning, advanced analytics, experimentation, and model evaluation, with sound judgment in selecting the right methods for the business problem.
• Demonstrated ability to frame ambiguous business problems, identify the right data and analytical approaches, and translate results into decisions and measurable outcomes.
• Experience developing and scaling data science solutions using large, complex datasets in production or operational environments.
• Strong understanding of consumer or member behavior and the ability to connect customer experiences, operational signals, and business outcomes.
• Strong business judgment and executive communication skills, with a track record of influencing senior stakeholders and driving cross-functional alignment.
• Experience partnering across business, product, engineering, analytics, and operations organizations to move data science from insight to adoption.

Preferred Qualifications:

• Advanced degree in Statistics, Economics, Computer Science, Operations Research, Applied Mathematics, Data Science, or a related quantitative field.
• Experience in data science, machine learning, experimentation, optimization, or other advanced analytical methods.
• Experience applying data science to retail, consumer, membership, subscription, loyalty, or other customer-focused businesses.
• Experience leading leaders or managers and multidisciplinary data science teams in a large-scale organization.
• Experience deploying and scaling analytical or machine learning solutions in partnership with product and engineering teams.
• Experience with Python, R, SQL, Spark, or related data science technologies.

At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. 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 $160,000.00 - $320,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
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Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 7
years' experience in an analytics related field. Option 2: Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science,
Information Technology or related field and 5 years' experience in an analytics related field. Option 3: 9 years' experience in an analytics or related
field.
3 years' supervisory experience. Preferred Qualifications...

Outlined 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, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, 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. Primary Location... 2101 Se Simple Savings Dr, Bentonville, AR 72712-4304, United States of America Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.