(USA) Director, Data Science

Position Summary

The Director, Data Science leads the development and deployment of advanced analytical models and data strategies to drive business value. This role requires expertise in machine learning, coding, and data visualization to translate complex data into actionable insights. The position involves guiding teams, collaborating across functions, and ensuring solutions align with organizational objectives. The Director fosters innovation, oversees model validation, and supports scalable implementations while maintaining high standards of integrity and operational excellence to enhance decision-making and business performance.

About the team

The OneDemand Forecasting team leads the development of advanced demand forecasting and machine learning solutions at scale. This team designs and refines models analyzing extensive data across multiple items, stores, and locations. Collaborating closely with business, product, and engineering teams, they align forecasting efforts with operational priorities. The team applies advanced statistical and machine learning methods to improve accuracy, scalability, and explainability. Partnering with engineering, they scale forecasting platforms to support varied business needs and time horizons, driving impactful data science initiatives that enhance decision-making and operational efficiency.

What you'll do

• Lead the development and deployment of advanced data science solutions aligned with business strategies and objectives.
• Oversee model design, testing, validation, and continuous improvement to ensure accuracy and robustness.
• Define and implement data strategies that maximize the value of data assets across multiple domains.
• Guide teams in coding, testing, and documentation to deliver scalable, production-ready applications.
• Collaborate with stakeholders to translate business requirements into actionable data initiatives and measurable outcomes.
• Mentor and develop talent to build a high-performing data science organization.
• Drive innovation by integrating emerging machine learning techniques and data visualization best practices.

What you'll bring

• Extensive experience in data science, machine learning algorithms, and advanced analytical modeling techniques.
• Proficiency in programming languages including Python, SQL, and Java for code development and testing.
• Strong understanding of data strategy, data quality, and data governance principles to drive business value.
• Expertise in deploying, monitoring, and scaling machine learning models in production environments.
• Ability to translate complex business requirements into actionable data-driven solutions and strategies.
• Proven leadership skills in mentoring teams and managing cross-functional collaboration.
• Excellent communication skills to present insights and influence stakeholders effectively.

About Walmart

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 here.

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.

Location

Bentonville, Arkansas US-09158: The annual salary range for this position is $130,000.00 - $260,000.00
Sunnyvale, California US-11656: The annual salary range for this position is $169,000.00 - $338,000.00

Additional compensation

Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include: Stock

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 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.