(USA) Senior, Data Scientist
Data Science
Sunnyvale, CA, USA
Posted on Jul 28, 2026
Position Summary...
What you'll do...
Role summary:As a Senior Data Scientist at Walmart, you will leverage advanced analytical techniques and domain expertise to identify, develop, and deploy data-driven solutions that support strategic business objectives. This role involves designing robust models, performing rigorous validation, and ensuring scalable implementation while collaborating across functions to translate complex data into actionable insights. You will guide data quality assessments, apply statistical and machine learning methods, and communicate findings effectively to influence decision-making. Your expertise will drive innovation and continuous improvement, contributing to Walmart’s commitment to operational excellence and customer value.
About the team:
The Applied AI Search & Personalization team develops advanced machine learning systems to enhance product discovery and deliver tailored shopping experiences. Focusing on query understanding, retrieval, ranking, recommendations, personalization, and Generative AI, the team integrates cutting-edge AI research with scalable production engineering. Their work drives significant improvements in customer engagement, conversion rates, and business growth on a global scale. Team members apply expertise in data science, predictive modeling, and large language models to solve complex challenges, contributing to innovative solutions that support Walmart’s commitment to delivering value and excellence in customer experience.
What you'll do:
- Identify and source relevant data from multiple business domains, ensuring data quality and suitability for analysis.
- Develop, test, and deploy advanced analytical models using statistical methods and machine learning techniques.
- Evaluate and validate model performance, applying best practices for tuning and robustness.
- Collaborate with stakeholders to translate business requirements into data-driven solutions and actionable insights.
- Create clear and effective data visualizations to communicate findings and influence decision-making.
- Mentor junior team members on analytical methods, coding standards, and business context.
- Support scalability and sustainability of models in production environments.
What you'll bring:
- Extensive experience in data science, machine learning, and predictive modeling with proficiency in Python and PySpark.
- Strong knowledge of statistical methods, model assessment, validation techniques, and advanced analytical modeling.
- Expertise in data source identification, data quality evaluation, and data strategy aligned with business objectives.
- Proven ability to develop, deploy, and scale analytical models in production environments.
- Proficiency in data visualization tools and techniques to effectively communicate insights to stakeholders.
- Solid understanding of business context and ability to translate complex data into actionable recommendations.
- Experience mentoring and guiding junior associates in analytics and modeling best practices.
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 $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- 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, 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.