(USA) Director, Data Science

Position Summary...

What you'll do...

Role summary:
As the Director, Data Science – Decision Science & Operational Modeling, you will build and own the statistical modeling engines that drive Walmart Connect’s (WMC) commercial operations and business strategy. Your mission is to bring algorithmic precision to complex retail media operations—from forecasting multi-tier ad delivery and inventory pacing to optimizing operational workflows and prescriptively modeling advertiser growth.
About the team:
Walmart Connect leads growth by powering the closed-loop media business within the world’s largest omnichannel retailer. The Data Science team drives innovation through advanced analytics, machine learning, and data strategy to deliver impactful business solutions. Collaborating across functions, the team translates complex data into actionable insights that support business development and automation. Members apply expertise in programming, feature engineering, and statistical modeling to enhance decision-making and operational efficiency. The team fosters continuous learning and excellence, aligning data-driven strategies with Walmart’s objectives to create measurable value and sustainable growth.
What you'll do:

• Architect Multi-Tier Hierarchical Forecasting: Build, scale, and maintain in-house hierarchical forecasting models spanning key ad delivery metrics (e.g., ad spend, impression delivery, fill rate, effective CPMs/CPCs) across accounts, placements, and product categories.
• Build Prescriptive Market-Sizing & Growth Models: Design prescriptive models that evaluate what an advertiser should or could invest based on peer category benchmarks, retail sales share, organic search volume, and category elasticity.
• Develop Advanced Behavioral Segmentation: Build and maintain machine-learning clustering models that segment brands, sellers, and agencies by operational maturity, bidding behavior, and growth potential.
• Lead & Mentor a Team: Hire, develop, and lead a high-performing team of data scientists.

What you'll bring:

• Extensive experience in data science, including advanced machine learning algorithms and analytical modeling techniques.
• Proficiency in programming languages such as Python, SQL, and Java for code development, testing, and deployment.
• Strong understanding of data strategy, data quality, and data governance principles to drive business value.
• Expertise in data visualization tools and techniques to communicate complex insights effectively.
• Proven ability to translate business requirements into scalable data solutions aligned with organizational objectives.
• Leadership skills to mentor teams, manage projects, and foster continuous improvement and innovation.

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 $130,000.00 - $260,000.00 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 Marketing, Business Administration, or related field and 4 years' experience in Marketing, Business Administration, or related field. Option 2: 7 years' experience in Marketing, Business Administration, 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.Masters: Business Administration

Primary Location...

1601 SE 10th St, Bentonville, AR 72716, United States of AmericaWalmart 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.