Staff, Data Scientist

Walmart • Bentonville, AR

1d

About The Position

Walmart is seeking a Staff Data Scientist to use advanced analytical techniques and data science methodologies to address complex business challenges. The position identifies and sources relevant data, develops predictive models, and delivers actionable insights to support strategic decision-making. The successful candidate collaborates across functions to translate business needs into data-driven solutions and helps ensure that models are accurate and scalable.

The team applies predictive analytics, machine learning, and data visualization to deliver business insights. It works across functions to identify data sources, ensure data quality, develop analytical models, and validate and test models for performance and scalability. The team also translates complex data into visual narratives and business recommendations, with an emphasis on continuous learning, innovation, and high ethical standards.

The role requires expertise in predictive analytics, machine learning, programming, statistical modeling, and data visualization. The position is based at the listed Walmart location in Sunnyvale, California; the posting also provides a salary range for Bentonville, Arkansas.

Requirements

• Proven expertise in predictive analytics, machine learning algorithms, and data science methodologies.
• Proficiency in Python programming and data visualization tools such as Matplotlib, Plotly, or Tableau.
• Strong knowledge of data strategy, including data quality standards, governance, and scalable data ecosystems.
• Experience in exploratory data analysis and advanced statistical modeling techniques.
• Ability to assess, validate, and tune models using appropriate metrics and best practices.
• Skill in identifying relevant data sources and performing initial data quality checks.
• Ability to translate complex business problems into data-driven solutions aligned with strategic goals.
• One of the following minimum 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 analytics-related experience; 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 source relevant data across multiple business domains, ensuring data quality and fitness for purpose.
• Develop and implement data strategies aligned with business objectives to unlock value from data assets.
• Design, validate, and tune predictive models using advanced statistical and machine learning techniques.
• Perform exploratory data analysis and create visualizations to communicate findings effectively.
• Collaborate with stakeholders to translate business requirements into data-driven solutions.
• Deploy and monitor models in production, ensuring scalability and performance.
• Write, test, and document code to support analytics solutions and maintain data integrity.

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 leave, and voting leave.
• Short-term and long-term disability.
• Company discounts.
• Military Leave Pay.
• Adoption and surrogacy expense reimbursement.
• PTO and/or PPTO usable for vacation, sick leave, holidays, or other purposes.
• Live Better U education benefit for eligible full-time and part-time associates, with tuition, books, and fees paid for eligible programs.

What This Job Offers

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