(USA) Data Scientist III
(USA) Sam's Home Office AR Bentonville Home Office Full-time Mid-level Data Science
At a glance
Mid-level Data Science role at Walmart. (USA) Sam's Home Office AR Bentonville Home Office · full-time · $90,000–$180,000 base.
SalaryStated by Walmart
$90,000 – $180,000
Base salary for this role, in USD per year, as published in the posting.
RoleData Science
SeniorityMid-level
Location(USA) Sam's Home Office AR Bentonville Home Office
EmploymentFull-time
Base pay$90,000–$180,000
PostedOct 12, 2026 · 12d ago
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Build tailored analytical models to address business problems, then check them with statistical tests and exploratory analysis
- Choose useful features and test hypotheses to turn data into insights stakeholders can act on
- Write and maintain SQL and Python code, supporting model rollout and reliable use in production
- Create visualizations that make analytical findings clear and inform decisions
- Guide junior associates on modeling and analytics practices while working with stakeholders on data solutions
What you bring
- You qualify with a related bachelor’s degree plus two years in analytics, a related master’s degree, or four years of analytics experience
- You bring strong skills in SQL and Python for building, testing and deploying models
- You have experience with data management, data quality and governance in complex data environments
- You can use statistical and modeling methods, including machine learning, to turn business needs into data solutions
Who this fits
This role suits a data scientist who can develop models and communicate findings while collaborating with stakeholders and mentoring junior colleagues. The listed primary location is Bentonville, Arkansas.
From the employer
Position Summary...
What you'll do...
Role summary:Join Walmart as a Data Scientist III, applying advanced analytical modeling, data management, and statistical methods to deliver actionable insights that drive business value. This role involves developing, validating, and deploying scalable models while ensuring data quality and governance standards. Collaborating across functions, you will translate complex business challenges into data-driven solutions using programming languages and visualization tools. The position supports continuous improvement through mentoring and innovation, contributing to strategic decision-making and operational excellence within a dynamic data ecosystem.
About the team:
The team develops advanced computer vision solutions to enhance Sam’s Club operations and member experience. It manages key products like Exit Vision, enabling fast, accurate exits while reducing shrink, and IRAS, which converts autonomous observations into precise inventory data. Combining software engineering and data science expertise, the team handles end-to-end development across edge and cloud services. Responsibilities include integrating computer vision with RFID, ensuring production reliability, and supporting large-scale deployments to deliver innovative, scalable solutions that drive operational excellence and continuous improvement.
What you'll do:
- Apply advanced statistical methods and analytical modeling techniques to develop custom data solutions addressing business challenges.
- Conduct exploratory data analysis, feature selection, and hypothesis testing to generate actionable insights.
- Support deployment, scalability, and sustainability of analytical models in production environments.
- Write, test, and maintain code using SQL, Python, and other programming languages to meet business and technical requirements.
- Collaborate with stakeholders to translate business problems into data-driven solutions and support data quality and governance standards.
- Mentor junior associates on modeling and analytics best practices.
- Develop data visualizations to effectively communicate findings and influence decision-making.
What you'll bring:
- Extensive experience in data management, data quality standards, and data governance within complex data ecosystems.
- Proficiency in advanced statistical methods, exploratory data analysis, and analytical modeling techniques including machine learning algorithms.
- Strong programming skills in SQL, Python, and related languages for code development, testing, and model deployment.
- Ability to translate business requirements into data-driven solutions and apply optimization techniques to enhance model performance.
- Expertise in data visualization tools and techniques to effectively communicate insights and influence decision-making.
- Demonstrated capability to mentor associates and collaborate cross-functionally to deliver scalable analytical solutions.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
The annual salary range for this position is $90,000.00 - $180,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- Stock
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Minimum Qualifications...
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics or related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Option 3: 4 years' experience in an analytics or related field.Preferred Qualifications...
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Data science, machine learning, optimization models, Master’s degree 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.