Group Director, Data Science-1

Wal-Mart•Sunnyvale, CA

32d•$195,000 - $481,000

About The Position

We are seeking a talented and passionate Group Director, Data Science- Pricing, 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 price point optimization and markdown strategies, ensuring Walmart delivers the right value to customers while maximizing business performance. About the Team Applied 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.

Requirements

Master's or PhD in Computer Science, Engineering Systems, Economics, Statistics, Mathematics, or related field preferred
At least 10 years of experience in leading data science, machine learning, or analytics roles, 4 years in technical leadership and people management.
Proven experience developing and deploying data science solutions for pricing optimization, price point decisions, and markdown strategies in a retail or e-commerce environment.
Hands-on expertise in the full data science lifecycle, especially in pricing and revenue management.
Experience with large-scale data platforms and cloud technologies (GCP, Azure, AWS), including data lake architecture.
Strong programming skills (Python, R, or similar) and proficiency with data engineering and ML tools.
Excellent communication, collaboration, and stakeholder management skills.
Experience in business development, roadmap ownership, and driving measurable impact through data science.

Nice To Haves

Experience in retail pricing for large-scale enterprises preferred.
Familiarity with advanced pricing models, demand forecasting, elasticity modeling, and real-time pricing algorithms preferred
Experience managing cross-functional and geographically distributed teams.
Publications or patents in pricing optimization or related AI/ML fields preferred.
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
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.

Responsibilities

Lead and grow a team of data scientists and data engineers dedicated to pricing optimization.
Define the vision and strategy for pricing optimization, including dynamic price points and markdown strategies, across both physical and digital channels.
Partner with product, engineering, merchandising, and business stakeholders to identify pricing 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 pricing, including experimentation with new models and algorithms to improve pricing 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.
Ensure best practices in data science, including model governance, reproducibility, and ethical AI.
Communicate complex technical concepts to non-technical audiences and executive leadership.
Stay current with industry trends and emerging technologies in data science and AI.

Benefits

Beyond competitive pay, you can receive incentive awards for your performance.
Other great benefits include a 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, flexible working hours, and more.
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.
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.