
Director, Data Science (Operation Research)
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Overview
Schedule
Full-time
Part-time
Career level
Executive
Compensation
$169,000-$338,000/year
Benefits
Health Insurance
Dental Insurance
Vision Insurance
Job Description
Position Summary...
What you'll do...
We are seeking a talented and passionate Director, Data Science, you will lead a high-impact team responsible for driving pricing optimization across Walmart’s global retail platforms. You will develop and execute data science strategies for assortment, space design, and inventory flow, ensuring Walmart delivers the right value to customers while maximizing business performance.About the TeamApplied AI focuses on the development and deployment of innovative agentic AI and Machine Learning algorithms across all aspects of Walmart’s retail, grocery and logistics businesses. The team of more than 300 AI scientists and engineers use advanced Applied AI, Agentic AI, and Mathematical Optimization to revolutionize how Walmart manages its retail, grocery and pharmaceutical operations. Our mission is to build the next generation of intelligent systems that deliver efficiency for our front-line associates and provide a great experience and low prices for our customers by combining agentic AI, machine learning and mathematical optimization to develop innovative and explainable solutions that produce real-world impact. What you'll do: As Director, Data Science, you will lead and develop a team that enables Walmart US in-store and e-commerce. This role is focused on people leadership and operational optimization—translating strategy into execution by aligning cross‑functional partners, optimizing fulfillment network design decisions, and driving in‑year initiatives. What you'll bring:- Lead and grow a team of data scientists and data engineers dedicated to assortment and space optimization.
- Partner with product, engineering, merchandising, and business stakeholders to identify opportunities and align on strategic initiatives.
- Oversee the end-to-end data science lifecycle: problem scoping, literature review, model design, algorithmic optimization, engineering integration, deployment, monitoring, and impact measurement.
- Drive AI innovation in assortment, including experimentation with new models and algorithms to improve accuracy and efficiency.
- Ensure robust model governance, reproducibility, and ethical AI practices.
- Communicate complex technical concepts and business impact effectively to technical and non-technical stakeholders, including senior leadership.
- Communicate complex technical concepts to non-technical audiences and executive leadership.
- Stay current with industry trends and emerging technologies in data science and AI.
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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: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 6 years' experience in an analytics related field.Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field.Option 3: 8 years' experience in an analytics or related fieldPreferred 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...
640 W California Ave, Sunnyvale, CA 94086-4828, 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.Automate your job search with Sonara.
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FAQs About Director, Data Science (Operation Research) Jobs at Walmart
What is the work location for this position at Walmart?
This job at Walmart is located in Sunnyvale, California, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at Walmart?
Candidates can expect a pay range of $169,000 and $338,000 per year.
What employment applies to this position at Walmart?
Walmart lists this position under the following employment categories:
- Full-time
- Part-time
What experience level is required for this role at Walmart?
Walmart is looking for a candidate with "Executive" experience level.
What benefits are offered by Walmart for this role?
Walmart offers following benefits: Health Insurance, Dental Insurance, Vision Insurance, Disability Insurance, Life Insurance, Paid Vacation, Paid Sick Leave, Parental and Family Leave, 401k Matching/Retirement Savings, Tuition/Education Assistance, and Health & Wellness Programs for this position. Actual benefits may vary depending on the employer's policies and employment terms.
What is the process to apply for this position at Walmart?
You can apply for this role at Walmart either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.