(USA) Staff, Data Scientist

Walmart•Bentonville, AR

1d•$110,000 - $220,000

About The Position

The (USA) Staff, Data Scientist plays a critical role in leveraging advanced analytics and machine learning techniques to deliver actionable business insights. This position involves identifying and sourcing relevant data, developing and validating predictive models, and creating impactful visualizations to support strategic decision-making. The role requires collaboration across functions to translate complex business challenges into data-driven solutions, ensuring alignment with organizational goals. The successful candidate will also guide and mentor team members while maintaining high standards of integrity, quality, and continuous improvement in data science practices. About the team: The Sandman/Ad-tech team comprises skilled Machine Learning Engineers, Data Scientists, and Full Stack technologists dedicated to delivering scalable, data-driven solutions for Walmart. This multidisciplinary group combines expertise in AI, software engineering, and data science to develop autonomous AI agents, deploy reliable applications, and build core engineering capabilities at enterprise scale. Leveraging data, AI, and agile methodologies, the team drives innovation that enhances operational efficiency and supports Walmart’s mission. Collaboration within the team fosters the creation of intelligent systems that improve business performance across the organization.

Requirements

Proven expertise in data science, including predictive analytics, machine learning algorithms, and exploratory data analysis.
Proficiency in programming languages such as Python for model development, testing, and deployment.
Strong knowledge of data strategy, data quality standards, and data governance principles.
Experience with advanced data visualization tools and techniques to effectively communicate insights.
Ability to assess, validate, and tune models using appropriate statistical and machine learning methods.
Understanding of business context to translate requirements into actionable data solutions.
Demonstrated capability to guide and mentor team members on analytical modeling and feature engineering.
Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field.
Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field.
6 years' experience in an analytics or related field

Nice To Haves

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics
Successful completion of one or more assessments in Python, Spark, Scala, or R
Using open source frameworks (for example, scikit learn, tensorflow, torch)
We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.
The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.

Responsibilities

Identify and assess relevant data sources to ensure quality and fit-for-purpose datasets for analysis.
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.
Create clear and impactful data visualizations to communicate insights effectively to stakeholders.
Translate complex business problems into data-driven solutions and actionable recommendations.
Collaborate with cross-functional teams to deploy models and monitor performance in production environments.
Mentor junior team members on analytical methods, coding best practices, and data storytelling.

Benefits

At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet.
Health benefits include medical, vision and dental coverage.
Financial benefits include 401(k), stock purchase and company-paid life insurance.
Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting.
Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes.
Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities.
Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates.
Tuition, books, and fees are completely paid for by Walmart.

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