(USA) Staff, Data Scientist

Walmart•Bentonville, AR

2d•$110,000 - $220,000•Onsite

About The Position

Join Walmart as a Staff Data Scientist and use advanced analytics, machine learning, and data strategy to drive 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 turn complex business challenges into analytical approaches, ensure data quality, and support effective model deployment. The team brings together data engineering, software engineering, data science, and business analysis to develop production-ready solutions aligned with business goals. It builds enterprise-scale machine learning systems that process product attributes for accurate taxation across Walmart sales channels. The work affects customer transactions, checkouts, and receipts, and applies advanced analytics, AI, and automation to improve operational efficiency and customer experience. The position develops, validates, deploys, and monitors models and data visualizations, collaborating with stakeholders and cross-functional teams to deliver scalable solutions and communicate insights. The position is based at 905 Customer Dr, Bentonville, Arkansas.

Requirements

Expertise in data science, including 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 in exploratory data analysis, model assessment, 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.
Effective communication skills to present insights and guide cross-functional teams.
One of the following minimum qualification pathways: 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 or a related field 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 and knowledge of WCAG 2.2 AA standards, assistive technologies, digital accessibility best practices, and Walmart accessibility standards and guidelines.

Responsibilities

Identify and assess data sources that align with business requirements and quality standards for analytics initiatives.
Develop and validate predictive models using advanced statistical and machine learning techniques to address complex business problems.
Design and implement data visualization solutions to communicate insights to stakeholders and influence decision-making.
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, ensuring continuous improvement and alignment with business objectives.

Benefits

Competitive pay and performance-based bonus awards.
Medical, vision, and dental coverage.
401(k).
Stock purchase plan.
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, with tuition, books, and fees paid for eligible programs from high school completion through bachelor's degrees, English Language Learning, and short-form certificates.