(USA) Staff, Data Scientist

Walmart • Bentonville, AR

3d • $110,000 - $220,000

About The Position

Join Walmart as a Staff Data Scientist and use advanced analytics, machine learning, and data strategy to produce business insights. The role identifies and validates data sources, develops and deploys predictive models, and creates visualizations to support decision-making across business domains. It calls for technical proficiency, strategic thinking, and clear communication to influence business outcomes.

The team brings together data engineering, software engineering, data science, and business analysis to deliver production-ready solutions aligned with business goals. It builds enterprise-scale machine learning systems that extract and process product attributes to support accurate taxation across Walmart sales channels. The work affects customer transactions, checkouts, and receipts, and involves collaborating with business stakeholders to build scalable AI applications and improve models.

Requirements

• Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field and 4 years of experience in an analytics-related field; or a master’s degree in one of those fields and 2 years of related experience; or 6 years of experience in an analytics or related field.
• Expertise in predictive analytics, machine learning algorithms, and advanced statistical modeling techniques.
• Proficiency in Python and data visualization tools such as Matplotlib, Plotly, or Tableau.
• Strong understanding of data strategy, data quality standards, and data governance principles.
• Experience with model assessment, validation, deployment, and scaling in production environments.
• Ability to translate complex business problems into data-driven solutions using appropriate analytical methods.
• Knowledge of MLOps, automation, and natural language processing applications.
• Effective communication skills to present insights and influence stakeholders.

Nice To Haves

• Background in data science, machine learning, or optimization models.
• Ph.D. in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, or Econometrics.
• Successful completion of one or more assessments in Python, Spark, Scala, or R.
• Experience using open-source frameworks such as scikit-learn, TensorFlow, or Torch.
• Knowledge of creating inclusive digital experiences and implementing WCAG 2.2 AA standards, assistive technologies, and digital accessibility best practices.

Responsibilities

• Identify and source relevant data from multiple business domains and databases for analytics initiatives.
• Assess data quality and ensure data integrity for accurate analysis and modeling.
• Develop, validate, and tune predictive models using advanced statistical and machine learning techniques.
• Design and implement data visualizations to communicate insights to stakeholders.
• Collaborate with cross-functional teams to translate business problems into data-driven solutions.
• Deploy and monitor models in production environments, ensuring scalability and performance.
• Mentor team members on analytical methods, coding best practices, and data storytelling.

Benefits

• Competitive pay and performance-based bonus awards.
• Medical, vision, and dental coverage.
• 401(k), stock purchase plan, and company-paid life insurance.
• Paid time off, including sick leave, parental leave, family care leave, bereavement leave, jury duty, and voting leave.
• Short-term and long-term disability.
• Company discounts.
• Military Leave Pay.
• Adoption and surrogacy expense reimbursement.
• Live Better U education benefit for eligible full-time and part-time associates, covering tuition, books, and fees for eligible programs.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior