(USA) Staff, Data Scientist
(USA) Maverick Building AR Bentonville Home Office Full-time Senior Data Science
At a glance
Senior Data Science role at Walmart. (USA) Maverick Building AR Bentonville Home Office · full-time · $110,000–$220,000 base.
SalaryStated by Walmart
$110,000 – $220,000
Base salary for this role, in USD per year, as published in the posting.
RoleData Science
SenioritySenior
Location(USA) Maverick Building AR Bentonville Home Office
EmploymentFull-time
Base pay$110,000–$220,000
PostedOct 23, 2026 · 1d ago
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Locate useful data across business areas and databases, then verify its quality for analysis and modeling
- Build predictive models with statistical and machine learning methods, test their accuracy, and refine their performance
- Create visualizations that make analytical findings clear to stakeholders
- Convert business challenges into data-led solutions with partner teams, then launch and monitor models in production
- Coach teammates on analytical methods, coding practices, and communicating data insights
What you bring
- Qualify through a related bachelor’s degree and four years of analytics work, a related master’s and two years, or six years’ experience
- Bring expertise in predictive analytics, machine learning methods, and advanced statistical modeling
- Use Python and visualization tools such as Matplotlib, Plotly, or Tableau
- Have experience assessing and validating models, then deploying and scaling them in production
Who this fits
This staff-level data science role suits someone who can build production models and explain analytical findings to stakeholders. The listed primary location is Bentonville, Arkansas.
From the employer
Position Summary...
What you'll do...
Role summary:Join Walmart as a Staff Data Scientist and leverage your expertise in advanced analytics, machine learning, and data strategy to drive impactful business insights. You will identify and validate data sources, develop and deploy predictive models, and create compelling data visualizations to support decision-making across multiple business domains. Collaborating with cross-functional teams, you will translate complex business challenges into data-driven solutions while ensuring model accuracy and scalability. This role demands strong technical proficiency, strategic thinking, and the ability to communicate findings effectively to influence business outcomes.
About the team:
Our team combines expertise in data engineering, software engineering, data science, and business analysis to deliver precise, production-ready solutions aligned with business goals. We develop enterprise-scale machine learning systems integral to every Walmart customer transaction, focusing on extracting and processing product attributes that ensure accurate taxation across all sales channels. Our work impacts every checkout and receipt, driving significant real-world outcomes. Collaborating closely with business stakeholders, we translate complex challenges into scalable AI applications, continuously enhancing models that support Walmart’s operational excellence and innovation in data-driven decision-making.
What you'll do:
- Identify and source relevant data from multiple business domains and databases to support analytics initiatives.
- Conduct data quality assessments and ensure data integrity for accurate analysis and modeling.
- Develop, validate, and tune predictive models using advanced statistical and machine learning techniques.
- Design and implement data visualizations to effectively communicate insights to stakeholders.
- Collaborate with cross-functional teams to translate business problems into data-driven solutions.
- Deploy and monitor models in production environments, ensuring scalability and performance.
- Mentor team members on analytical methods, coding best practices, and data storytelling.
What you'll bring:
- Proven expertise in predictive analytics, machine learning algorithms, and advanced statistical modeling techniques.
- Proficiency in Python programming and data visualization tools such as Matplotlib, Plotly, or Tableau.
- Strong understanding of data strategy, data quality standards, and data governance principles.
- Experience with model assessment, validation, deployment, and scaling in production environments.
- Ability to translate complex business problems into data-driven solutions using appropriate analytical methods.
- Knowledge of MLOps, automation, and natural language processing applications.
- Effective communication skills to present insights and influence stakeholders.
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 $110,000.00 - $220,000.00 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 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' experience in an analytics or related fieldPreferred 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, 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.