The Role
Design, develop, and deploy scalable statistical and machine learning models to solve complex business problems. Conduct exploratory data analysis, feature engineering, and hypothesis testing; ensure data quality and governance; collaborate with cross-functional teams to translate requirements into production models; optimize code and data pipelines; mentor junior team members and communicate insights through visualizations to influence strategic decisions.
Summary Generated by Built In
Position Summary...What you'll do...Role summary:
Walmart is seeking a Data Scientist III to advance data-driven decision-making by applying advanced analytical modeling, statistical methods, and machine learning techniques. This role involves developing and deploying scalable models, conducting exploratory data analysis, and collaborating across business functions to deliver actionable insights. The successful candidate will leverage expertise in data management, quality standards, and programming to support business objectives and optimize data assets. This position requires strong problem-solving skills, technical proficiency, and the ability to communicate complex findings effectively to influence strategic initiatives.
About the team:
Our team develops advanced digital experiences for Walmart Business, enabling businesses to efficiently discover and purchase products via the website and app. We focus on business-specific solutions such as customer onboarding, verification, business identity, inventory discovery, and personalized shopping journeys. Leveraging AI, data, and scalable engineering, we create intelligent experiences that enhance product discovery and drive qualified traffic through innovative GenAI search and citation engines. This team is dedicated to solving complex customer challenges at scale and shaping the future of AI-powered commerce in B2B environments.
What you'll do:
What you'll bring:
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.
Bentonville, Arkansas US-30008: The annual salary range for this position is $90,000.00 - $180,000.00
Sunnyvale, California US-11656: The annual salary range for this position is $117,000.00 - $234,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- Stock
Walmart is seeking a Data Scientist III to advance data-driven decision-making by applying advanced analytical modeling, statistical methods, and machine learning techniques. This role involves developing and deploying scalable models, conducting exploratory data analysis, and collaborating across business functions to deliver actionable insights. The successful candidate will leverage expertise in data management, quality standards, and programming to support business objectives and optimize data assets. This position requires strong problem-solving skills, technical proficiency, and the ability to communicate complex findings effectively to influence strategic initiatives.
About the team:
Our team develops advanced digital experiences for Walmart Business, enabling businesses to efficiently discover and purchase products via the website and app. We focus on business-specific solutions such as customer onboarding, verification, business identity, inventory discovery, and personalized shopping journeys. Leveraging AI, data, and scalable engineering, we create intelligent experiences that enhance product discovery and drive qualified traffic through innovative GenAI search and citation engines. This team is dedicated to solving complex customer challenges at scale and shaping the future of AI-powered commerce in B2B environments.
What you'll do:
- Apply advanced statistical and machine learning techniques to develop and refine analytical models that address complex business challenges.
- Conduct exploratory data analysis, feature selection, and hypothesis testing to generate actionable insights.
- Collaborate with cross-functional teams to translate business requirements into scalable data solutions and model deployments.
- Ensure data quality, governance, and management standards are maintained throughout the data lifecycle.
- Develop, test, and optimize code using SQL, Python, and other programming languages to support data pipelines and model integration.
- Mentor junior associates on analytical methods and best practices.
- Communicate findings through effective data visualization and storytelling to influence business decisions.
What you'll bring:
- Proven expertise in data management, data quality within complex ecosystems.
- Advanced proficiency in statistical methods, machine learning algorithms, and analytical modeling techniques including Bayesian inference and neural networks.
- Strong programming skills in SQL, Python, and R, with experience in code development, testing, and model deployment.
- Ability to conduct exploratory data analysis, feature engineering, and performance modeling to deliver actionable business insights.
- Experience with big data tools such as Apache Spark for scalable model development.
- Solid understanding of business requirements and domain knowledge across multiple functions to translate problems into data-driven solutions.
- Capability to mentor junior associates and communicate complex data findings effectively using advanced visualization tools.
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.
Bentonville, Arkansas US-30008: The annual salary range for this position is $90,000.00 - $180,000.00
Sunnyvale, California US-11656: The annual salary range for this position is $117,000.00 - $234,000.00 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.Primary Location...1601 SE 10th St, Bentonville, AR 72716, United States of AmericaWalmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.Skills Required
- Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics or related field.
- Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field.
- 4 years' experience in an analytics or related field.
- Proven expertise in data management and data quality within complex ecosystems.
- Advanced proficiency in statistical methods and machine learning algorithms, including Bayesian inference and neural networks.
- Strong programming skills in SQL, Python, and R, including code development, testing, and model deployment.
- Experience with big data tools such as Apache Spark for scalable model development.
- Ability to perform exploratory data analysis, feature engineering, and performance modeling to deliver business insights.
- Ability to communicate complex findings effectively through visualization and storytelling; mentor junior associates.
- Experience with optimization models, or advanced degree in ML/CS/OR/Statistics/Applied Math/Econometrics.
- Successful completion of assessments in Python, Spark, Scala, or R.
- Experience using open-source ML frameworks (scikit-learn, TensorFlow, PyTorch).
- Knowledge of Web Content Accessibility Guidelines (WCAG) 2.2 AA and assistive technologies.
Walmart Global Tech Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Walmart Global Tech and has not been reviewed or approved by Walmart Global Tech.
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Strong & Reliable Incentives — Compensation packages typically include base pay, performance bonuses, and stock awards, with access to an employee stock purchase plan. Feedback suggests annual bonus structures and stock grants are a consistent part of total compensation in many roles.
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Retirement Support — Retirement offerings include a company 401(k) match and stock purchase options that support long‑term savings. Feedback suggests these programs are a notable strength within the overall package.
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Parental & Family Support — Family benefits feature paid parental leave and adoption assistance, alongside tax‑advantaged accounts for healthcare spending. Feedback suggests these supports contribute meaningfully to perceived total rewards value.
Walmart Global Tech Insights
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The Company
What We Do
Walmart has a long history of transforming retail and using technology to deliver innovations that improve how the world shops and empower our 2.2 million associates. It began with Sam Walton and continues today with Global Tech associates working together to power Walmart and lead the next retail disruption. We’re a high-performing, primarily virtual workforce that is human-led and tech-empowered. Our world-class software engineers, data scientists and engineers, cybersecurity professionals, product managers and business service professionals work with top talent on cutting-edge technologies that create unique and innovative experiences for our associates, customers and members across Walmart, Sam’s Club and Walmart International. At Walmart Global Tech, one line of code or bold idea can make life easier for hundreds of millions of people – talk about epic impact at a global scale.
