(USA) Senior Manager, Data Science

As a Senior Manager, Data Science, you will lead advanced analytical initiatives to develop, validate, and deploy robust machine learning models that drive strategic business decisions. This role requires expertise in statistical methods, data visualization, and programming to translate complex data into actionable insights. You will collaborate across functions to align data solutions with business objectives, mentor team members, and ensure continuous improvement in modeling techniques. Your leadership will support scalable, data-driven strategies that enhance operational efficiency and deliver measurable value to the organization.

About the team:

The Decision Sciences team delivers comprehensive analytical solutions that enable informed decision-making across Supply Chain, Store Operations, Last Mile Delivery, and Innovation & Transformation. By providing precise and actionable insights, the team drives growth, improves efficiency, and supports strategic planning. Committed to leveraging advanced data science, machine learning, and artificial intelligence techniques, the team continuously develops innovative solutions that enhance experiences for associates and customers alike. This collaborative group applies expertise in data visualization, statistical methods, and programming to transform complex data into meaningful business outcomes.

What you’ll do:

• Supporting and driving long-term and short-term strategies for achieving business outcomes. Ability to frame strategies in the form of a business plan backed by financial models.
• Partnering with cross-functional teams to identify business problems and opportunities.
• Leading the data science team in delivering the state-of-the-art advanced analytical solutions.
• Communicating effectively to all levels of the organization, including executives.
• Fostering talent and leadership by attracting new team members to expand our team while creating a positive and supportive environment for our existing members to grow and excel.

• 8+ years of data scientist experience in delivering analytical insights and data-driven business strategies.
• 5+ years of experience of building and leading high-performing domestic and multinational data science teams.
• You’re experienced with forecasting, machine learning, simulation and optimization, GenAI, etc.
• You have strong implementation experience with at least one of the programming languages (Python, R, Java, C++, etc.)
• You have strong hand-on skills in data wrangling and debugging complex SQL queries.
• You have strong written and oral communication skills.
• You excel at presenting analytical insights to partners and senior leadership., 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 field.

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.

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., 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

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.

Walmart, Inc. is an Equal Opportunity Employer- By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity- unique styles, experiences, identities, abilities, ideas and opinions- while being inclusive of all people.