Director, Data Science

Position Summary

The (USA) Director, Data Science leads the development and deployment of advanced analytical models and data-driven strategies to support business objectives. This role oversees the design, testing, and implementation of machine learning solutions, ensuring alignment with organizational goals. The position requires expertise in coding, data quality assessment, and visualization to translate complex data into actionable insights. The Director mentors teams, drives innovation, and collaborates cross-functionally to enhance decision-making processes and operational efficiency, fostering continuous improvement and sustainable growth within the company.

About the team

The Data Science team leads advanced analytics and machine learning initiatives to deliver impactful business solutions. This group collaborates across functions to translate complex data into actionable insights, supporting strategic decision-making. Team members apply expertise in coding, statistical modeling, and data visualization to develop scalable models and innovative tools. The team fosters continuous learning and drives excellence by leveraging cutting-edge techniques and technologies. With a strong focus on integrity and business alignment, the team contributes to Walmart’s mission by enhancing data-driven strategies that optimize operations and customer experiences.

What you'll do

• Lead the development and deployment of advanced data science solutions aligned with business objectives.
• Oversee model design, validation, and scaling to ensure accuracy, robustness, and sustainability.
• Translate complex business requirements into data strategies and actionable insights.
• Guide teams in coding, testing, and documentation of analytical models and applications.
• Collaborate cross-functionally to integrate data-driven approaches into operational processes.
• Mentor and develop talent to build a high-performing data science workforce.
• Drive continuous improvement by adopting emerging technologies and 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, testing, and deployment.
• A strong understanding of data strategy, data quality, and data ecosystem management to drive business value.
• Proven ability to translate complex business requirements into actionable data-driven solutions aligned with strategic objectives.
• Expertise in data visualization tools and techniques to communicate insights effectively to stakeholders.
• Demonstrated leadership in mentoring teams, managing projects, and fostering continuous learning and innovation.

Additional compensation

• Annual or quarterly performance bonuses.
• Stock for certain positions.

Minimum Qualifications

• Option 1: Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field.
• Option 2: Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field.
• Option 3: 5 years' experience in an analytics or related field.

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.