(USA) Director, Data Science

About the Role

Key Responsibilities

• Write code to develop solutions and application features by determining appropriate programming languages and leveraging business, technical, and data requirements.
• Create test cases, review and validate solution designs, develop proofs of concept, test code, deploy software to production, and maintain documentation and playbooks.
• Analyze business problems within one's discipline, question assumptions, identify root causes, and recommend approaches to resolve issues with effective technology solutions.
• Identify and select suitable data sources, perform initial data quality checks, and guide junior team members on data sourcing and quality assurance.
• Translate business requirements into strategies, initiatives, and projects, build business cases, and measure success through key metrics.
• Generate graphical data representations, select visualization tools, and design data stories to communicate insights effectively to stakeholders.
• Select and develop features, conduct exploratory data analysis, apply advanced statistical and machine learning models, and interpret data trends.
• Conduct model evaluation, testing, tuning, and validation to ensure accuracy, robustness, and fit of analytical models.
• Understand and apply data management, quality standards, and governance principles to unlock data value and inform data strategy.
• Deploy models, monitor their performance, and support their ongoing maintenance and scalability.
• Lead and develop high-performing teams, foster an inclusive culture, and build internal and external partnerships to achieve business goals.
• Promote integrity, ethics, and compliance, act as a servant leader, and ensure teams adhere to Walmart’s values and policies.
• Deliver business results with a customer-first approach, continuously seek improvements, and support digital transformation initiatives.

Requirements

• Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 6 years' experience in an analytics-related role.
• Or Master's degree in the same fields with 4 years' experience in analytics.
• Or 8 years' experience in an analytics or related field.
• Knowledge of coding languages such as SQL, Java, C, Python, and testing methods including static and dynamic analysis.
• Experience with big data analytics, automation techniques, and business domain understanding.
• Familiarity with data visualization tools like Python libraries (e.g., Matplotlib, Plotly), Tableau, PowerBI.
• Understanding of statistical modeling, machine learning algorithms, and advanced analytical techniques.
• Experience with model validation, tuning, and deployment, including model lifecycle management.
• Knowledge of data ecosystems, data management, quality standards, and governance.
• Strong leadership, collaboration, and communication skills, with the ability to influence stakeholders.

Nice to Have

• PhD in Machine Learning, Computer Science, Operations Research, Statistics, or Applied Mathematics.
• Experience with open source frameworks such as scikit-learn, TensorFlow, or Torch.
• Background in creating accessible digital experiences and knowledge of Web Content Accessibility Guidelines (WCAG) 2.2 AA standards.
• Supervisory experience and ability to lead teams.
• Experience with creating inclusive digital products and supporting an inclusive culture.

Qualifications

• Bachelor's or Master's degree in relevant fields with specified years of experience, or 8 years' experience in analytics.

Benefits & Perks

• Competitive salary range of $130,000.00-$260,000.00 plus performance bonuses.
• Stock options and additional compensation for certain positions.
• Health benefits including medical, vision, and dental coverage.
• Financial benefits such as 401(k), stock purchase plans, and life insurance.
• Paid time off including vacation, sick leave, parental leave, and other leave options.
• Disability insurance, associate discounts, and military leave pay.
• Education assistance through Walmart's Live Better U program, covering tuition, books, and fees.