(USA) Staff, Data Scientist

Walmart • Bentonville, AR

11d

About The Position

Join Walmart as a Staff Data Scientist and use advanced analytics, machine learning, and data strategy to generate business insights. The role includes identifying and validating data sources, developing predictive models, and delivering data-driven solutions that support strategic decision-making. You will work across functions to translate complex business challenges into analytical approaches, support data quality, and deploy effective models.

The team brings together data engineering, software engineering, data science, and business analysis to deliver production-ready solutions aligned with business goals. It develops enterprise-scale machine learning systems used in Walmart customer transactions, including systems that extract and process product attributes for accurate taxation across sales channels. The work supports operational efficiency and customer experience at scale.

Requirements

• Expertise in data science, advanced analytics, predictive modeling, and machine learning algorithms.
• Proficiency in programming languages such as Python and experience with data visualization.
• Knowledge of data strategy, data quality standards, and data governance principles.
• Experience with exploratory data analysis, model assessment and validation, and deployment at scale.
• Ability to translate complex business problems into data-driven solutions using statistical and AI techniques.
• Skills in automation, MLOps, and natural language processing to improve model performance and operational efficiency.
• Effective communication skills to present insights and guide cross-functional teams.
• One of the following qualification paths: a 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; a master's degree in one of those fields and 2 years of experience in an analytics-related field; or 6 years of experience in an analytics or related field.

Nice To Haves

• Experience 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.
• Background creating inclusive digital experiences, including knowledge of WCAG 2.2 AA standards, assistive technologies, and digital accessibility best practices.

Responsibilities

• Identify and assess data sources against business requirements and quality standards for analytics initiatives.
• Develop and validate predictive models using statistical and machine learning techniques.
• Design and implement data visualizations to communicate insights to stakeholders and inform decisions.
• Collaborate with cross-functional teams to translate business needs into data-driven solutions and scalable model deployments.
• Conduct exploratory data analysis and feature engineering to improve model performance and accuracy.
• Maintain and monitor deployed models, driving continuous improvement and alignment with business objectives.

Benefits

• Competitive pay and performance-based bonus awards.
• Medical, vision, and dental coverage.
• 401(k), stock purchase, 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: Walmart-paid education programs, with tuition, books, and fees covered, subject to eligibility requirements.

What This Job Offers

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