The Staff Data Scientist will leverage data science methodologies, data engineering technique and strong coding skills to deliver actionable insights that support strategic business decisions. This role involves identifying and sourcing relevant data, developing and validating predictive models, and creating compelling data visualizations to communicate findings effectively. The position requires collaboration across functions to translate complex business challenges into data-driven solutions, ensuring model deployment and scalability and building scalable platform. The ideal candidate will apply rigorous statistical methods, automation, and machine learning expertise to enhance data strategy and drive continuous improvement aligned with organizational goals.
About the team:
Join the personalization marketing data science team at Walmart, collaborating with engineering, business, and product teams across digital marketing channels including SEM, SEO, CRM, and Display. The team develops scalable, data-driven solutions to optimize marketing effectiveness and generate high-quality demand efficiently. Members analyze extensive omni-channel commerce data to build models and algorithms that support business growth. Working alongside skilled data scientists, engineers, marketers, and product managers, the team creates advanced marketing science platforms that enhance strategies and deliver actionable insights across the organization.
What you'll do:
- Utilize cutting-edge machine learning/statistical/platform building techniques to deliver solutions for projects in the domain of marketing science and personalization
- Design statistically sound experiments to properly evaluate the effectiveness;
- Build, validate, test and deploy predictive models using machine learning techniques to explain or predict customer behaviors
- Mine massive data, derive business insights, and propose interesting modeling projects that have the potential to have high business impact;
- Standardize and build scalable and highly available systems that follow operational best practices;
- Developing visuals and reports to efficiently communicating model results and insights to business teams.
- Mentor Junior team members
What you'll bring:
- Proven expertise in predictive analytics, machine learning algorithms, and statistical hypothesis testing.
- Proficiency in Python programming and data visualization tools such as Matplotlib, Plotly, or Tableau.
- Strong knowledge of data engineering, data pipelines, and MLOps for scalable model deployment.
- Experience in data source identification, data quality assessment, and data strategy implementation.
- Ability to develop, validate, and tune advanced analytical models using appropriate evaluation metrics.
- Skilled in translating complex business problems into data-driven solutions with clear communication.
- Familiarity with experimentation design, statistical inference, and automation techniques in data science.
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-11657: The annual salary range for this position is $143,000.00 - $286,000.00
Bentonville, Arkansas US-10735: 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...1345 Crossman Ave, Sunnyvale, CA 94089-1114, 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 4 years' experience in an analytics related field.
- Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field.
- 6 years' experience in an analytics or related field.
- Proven expertise in predictive analytics, machine learning algorithms, and statistical hypothesis testing.
- Proficiency in Python programming and data visualization tools such as Matplotlib, Plotly, or Tableau.
- Strong knowledge of data engineering, data pipelines, and MLOps for scalable model deployment.
- Experience in data source identification, data quality assessment, and data strategy implementation.
- Ability to develop, validate, and tune advanced analytical models using appropriate evaluation metrics.
- Familiarity with experimentation design, statistical inference, and automation techniques in data science.
- Mentoring and guiding junior team members.
- PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, or Econometrics.
- Successful completion of one or more assessments in Python, Spark, Scala, or R.
- Experience using open-source ML frameworks (for example, scikit-learn, TensorFlow, PyTorch).
- Knowledge of Web Content Accessibility Guidelines (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.






