The Role
Lead development and production deployment of advanced ML and statistical solutions for personalization and marketing science. Define data science strategy, design experiments and causal measurement, build predictive and personalization models, architect experimentation platforms and reusable modeling pipelines, analyze large omni-channel datasets, ensure model lifecycle and scalability, and mentor/partner with cross-functional teams to drive business impact.
Summary Generated by Built In
Position Summary...What you'll do...Role summary:
The Principal Data Scientist will lead advanced data science initiatives by developing and deploying innovative machine learning models and data-driven solutions that address complex business challenges. This role requires expertise in statistical analysis, coding, experimentation and data strategy to translate business needs into actionable insights. The position involves mentoring team members, collaborating cross-functionally, and ensuring the scalability and sustainability of models. The successful candidate will drive measurable business impact through rigorous experimentation, model validation, and effective communication of findings to influence strategic decisions across multiple domains.
About the team:
Join the personalization marketing data science team at Walmart, collaborating with engineering, business, and product teams across digital marketing channels such as SEM, SEO, CRM, Display, and Paid Social. 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 supporting 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:
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.
Sunnyvale, California US-11657: The annual salary range for this position is $143,000.00 - $286,000.00
Bentonville, Arkansas US-09158: 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
The Principal Data Scientist will lead advanced data science initiatives by developing and deploying innovative machine learning models and data-driven solutions that address complex business challenges. This role requires expertise in statistical analysis, coding, experimentation and data strategy to translate business needs into actionable insights. The position involves mentoring team members, collaborating cross-functionally, and ensuring the scalability and sustainability of models. The successful candidate will drive measurable business impact through rigorous experimentation, model validation, and effective communication of findings to influence strategic decisions across multiple domains.
About the team:
Join the personalization marketing data science team at Walmart, collaborating with engineering, business, and product teams across digital marketing channels such as SEM, SEO, CRM, Display, and Paid Social. 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 supporting 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:
- Lead the development and deployment of advanced AI, machine learning, and statistical solutions for marketing science and personalization.
- Define scalable data science strategies aligned with business objectives.
- Design rigorous experiments, causal measurement frameworks, and incrementality analyses.
- Architect experimentation platforms supporting audience assignment, metrics, analysis, and reporting.
- Build predictive and personalization models to improve customer engagement and marketing performance.
- Analyze large datasets to identify insights and high-impact opportunities.
- Establish reusable modeling frameworks, feature pipelines, and model lifecycle standards.
- Partner with cross-functional stakeholders and mentor data scientists on methodology, coding, experimentation, and communication best practices.
What you'll bring:
- 5+ year experience in machine learning, deep learning, and advanced statistical analysis to develop and deploy predictive models, preferably in marketing science or ecommerce
- Proficiency in programming languages including Python and SQL for code development, testing, and automation.
- Strong knowledge of MLOps practices to ensure model lifecycle management and scalability in production environments.
- Expertise in data quality assessment, feature engineering, and experimentation to drive data-driven solutions.
- Ability to translate complex business problems into analytical models and actionable insights.
- Experience with cloud platforms for model deployment and management.
- Proven leadership skills to mentor teams and guide technical problem formulation and solution delivery.
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-09158: 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 5 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 3: 7 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, 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.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 5 years' experience in an analytics related field OR Master's degree in above fields and 3 years' experience OR 7 years' experience in an analytics or related field
- 5+ years' experience in machine learning, deep learning, and advanced statistical analysis (preferably in marketing science or ecommerce)
- Proficiency in Python and SQL for development, testing, and automation
- Experience and strong knowledge of MLOps practices for model lifecycle management and production scalability
- Expertise in data quality assessment, feature engineering, experimentation design, and causal/incrementality analyses
- Experience with cloud platforms for model deployment and management
- Proven leadership skills to mentor data scientists and guide technical problem formulation and delivery
- Experience designing and architecting experimentation platforms, audience assignment, metrics, analysis, and reporting
- Ability to translate complex business problems into analytical models and actionable insights
- Familiarity with building predictive and personalization models at scale and creating reusable modeling frameworks and feature pipelines
- Preferred: PhD in Machine Learning, Computer Science, Operations Research, Statistics, Applied Mathematics, Econometrics, publications or peer-review activity
- Preferred: Experience or assessments in Python, Spark, Scala, or R and use of open-source frameworks (scikit-learn, TensorFlow, Torch)
- Preferred: Knowledge of accessibility best practices (WCAG 2.2 AA), assistive technologies, and inclusive digital experiences
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.
