(USA) Principal, Data Scientist
(USA) Together Building AR Bentonville Home Office Full-time Senior Data Science
At a glance
Senior Data Science role at Walmart. (USA) Together 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) Together Building AR Bentonville Home Office
EmploymentFull-time
Base pay$110,000–$220,000
PostedOct 7, 2026 · 2w ago
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Build, test and launch machine-learning models in Python and SQL to address business problems
- Trace business issues to their root causes, then shape findings into solutions tied to strategic goals
- Find and check data across multiple systems before using it for models and analysis
- Review models and keep improving them so production systems remain accurate, robust and scalable
- Turn stakeholder needs into data science work, explain results and coach teammates on analytics, coding and visualization
What you bring
- You qualify with a related bachelor’s degree and three years in analytics, a related master’s and one year, or five years of relevant experience
- You bring substantial coding experience in Python, SQL and Java, plus knowledge of machine learning, deep learning and statistical analysis
- You understand MLOps, production deployment, data quality and source selection, and can turn business problems into analytical solutions
Who this fits
This principal-level role suits someone ready to lead model development, mentor colleagues and work with stakeholders across functions. The listed primary location is Bentonville, Arkansas.
From the employer
Position Summary...
What you'll do...
Role summary:The Principal Data Scientist will lead the development and deployment of advanced AI models to solve complex business challenges. This role requires expertise in machine learning, statistical analysis, and optimizations to translate business needs into scalable data-driven solutions. The position involves mentoring team members, collaborating cross-functionally, and ensuring model accuracy and sustainability. The successful candidate will drive innovation by leveraging cutting-edge technologies and methodologies, contributing to strategic initiatives that enhance operational efficiency and deliver measurable business impact within a dynamic and evolving data ecosystem.
About the team:
The Retail Intelligence team drives AI discovery, research, and the design of algorithmic solutions to enhance operational efficiency across Walmart stores. The team excels in rapid prototyping of machine learning, agentic AI, and simulation models, transforming prototypes into scalable production systems that deliver measurable business impact. Collaborating closely with engineering, product, UX, and retail operations, the team ensures solutions are practical and widely adoptable. This collaborative environment fosters innovation and the application of advanced techniques such as deep learning, statistical analysis, and MLOps to solve complex retail challenges effectively.
What you'll do:
- Develop, test, and deploy advanced machine learning models using languages such as Python and SQL to address complex business challenges.
- Analyze business problems to identify root causes and recommend data-driven solutions aligned with strategic objectives.
- Identify, source, and validate high-quality data from multiple systems to support analytical modeling and insights generation.
- Lead model assessment, validation, and continuous improvement to ensure accuracy, robustness, and scalability in production environments.
- Collaborate with stakeholders to translate business requirements into actionable data science initiatives and communicate findings effectively.
- Mentor team members on advanced analytics techniques, coding best practices, and data visualization methods.
What you'll bring:
- Extensive experience in developing and testing code using languages such as Python, SQL, and Java.
- Proficiency in machine learning algorithms, deep learning, and advanced statistical analysis.
- Strong knowledge of MLOps practices and deployment of scalable models in production environments.
- Expertise in data source identification, data quality assessment, and data strategy application.
- Ability to translate complex business problems into effective analytical models and solutions.
- Skilled in data visualization tools and techniques to communicate insights clearly.
- Proven leadership in mentoring teams and driving cross-functional collaboration.
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- Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2- Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 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, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, 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.