The (USA) Staff, Data Scientist plays a critical role in leveraging advanced analytics, machine learning, and data visualization to drive informed business decisions. This position requires expertise in identifying and validating data sources, developing predictive models, and translating complex data into actionable insights aligned with business objectives. The role involves collaborating across functions to implement scalable solutions, ensuring data quality and governance, and mentoring team members. The successful candidate will contribute to strategic initiatives by applying rigorous analytical methods and fostering continuous improvement in data-driven practices.
About the team:
Our team is dedicated to addressing key challenges in retail and supply chain by developing intelligent systems that enhance item availability, optimize sourcing and inventory decisions, and improve operational efficiency. We leverage advanced data science techniques, including predictive analytics, machine learning, and big data analytics, to deliver actionable insights. Focused on creating seamless end-to-end customer experiences, the team collaborates across functions to build scalable solutions that drive business value and operational excellence in a dynamic environment.
What you'll do:
- Identify and source relevant data from multiple business domains, ensuring data quality and suitability for analysis.
- Develop and implement data strategies aligned with business objectives to unlock value from data assets.
- Design, build, and validate predictive models using advanced machine learning techniques and statistical methods.
- Perform exploratory data analysis and create insightful visualizations to communicate findings effectively to stakeholders.
- Collaborate with cross-functional teams to translate business problems into data-driven solutions.
- Deploy and monitor models in production, ensuring performance and scalability.
- Mentor team members on analytical methods, coding best practices, and data storytelling.
What you'll bring:
- Proven expertise in data science, including predictive analytics, machine learning algorithms, and exploratory data analysis.
- Proficiency in programming languages such as Python and experience with data visualization tools like Tableau, Matplotlib, or PowerBI.
- Strong understanding of data strategy, data quality standards, and data governance principles.
- Experience with big data analytics and distributed data stores including SQL and NoSQL databases.
- Ability to assess, validate, and tune models using best practices and relevant evaluation metrics.
- Skilled in translating complex business requirements into data-driven solutions aligned with organizational goals.
- 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.
Sunnyvale, California US-11789: The annual salary range for this position is $143,000.00 - $286,000.00
Bentonville, Arkansas US-30008: 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.Primary Location...809 11th Ave, Sunnyvale, CA 94089-4731, 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 in Statistics, Economics, Analytics, Mathematics, Computer Science, IT or related plus 4 years analytics experience OR Master's plus 2 years OR 6 years analytics experience
- Proven expertise in predictive analytics, machine learning algorithms, and exploratory data analysis
- Proficiency in Python
- Experience with data visualization tools such as Tableau, Matplotlib, or PowerBI
- Experience with big data analytics and distributed data stores; SQL and NoSQL databases
- Experience deploying and monitoring models in production and tuning models using evaluation metrics
- Strong understanding of data strategy, data quality standards, and data governance principles
- Effective communication skills to present insights and influence stakeholders
- PhD in ML, CS, OR, Statistics, Applied Math, or Econometrics
- Successful completion of assessments in Python, Spark, Scala, or R
- Experience with open-source ML frameworks (scikit-learn, TensorFlow, PyTorch)
- Knowledge of web accessibility (WCAG 2.2 AA), assistive technologies, and accessibility best practices
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
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.








