Staff, Data Scientist

Walmart•Bentonville, AR

2d•$110,000 - $286,000

About The Position

Walmart is seeking a Staff Data Scientist to apply advanced analytical techniques and data science methodologies to complex business challenges. The role identifies and sources relevant data, develops predictive models, and delivers actionable insights to support strategic decision-making. The Staff Data Scientist collaborates across functions to turn business needs into data-driven solutions and helps ensure models are accurate and scalable. Expertise in data visualization, programming, and statistical modeling is used to communicate findings and influence business outcomes, contributing to Walmart’s commitment to innovation and operational excellence. The team uses predictive analytics, machine learning, and data visualization to deliver business insights. It collaborates across functions to identify data sources, ensure data quality, and develop analytical models, applying validation and testing to optimize performance and scalability. The team translates complex data into visual narratives and business recommendations, with an emphasis on continuous learning, innovation, and high ethical standards.

Requirements

Proven expertise in predictive analytics, machine learning algorithms, and data science methodologies.
Proficiency in Python 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.
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.

Nice To Haves

Data science, machine learning, or optimization models experience.
PhD 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 and knowledge of WCAG 2.2 AA standards, assistive technologies, and digital accessibility best practices.

Responsibilities

Identify and source relevant data from 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.
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, and voting leave.
Short-term and long-term disability.
Company discounts.
Military Leave Pay.
Adoption and surrogacy expense reimbursement.
PTO and/or PPTO for vacation, sick leave, holidays, or other purposes.
Live Better U education benefit, including tuition, books, and fees for eligible programs.