(USA) Staff, Data Scientist
In short. (USA) Staff, Data Scientist at Walmart: a full-time lead or staff-level role, on-site in Sunnyvale, CA. Posted salary: $143K – $286K. Main work: Collaborate with cross-functional teams to translate business problems into data-driven solutions. Skills mentioned: Python, Machine learning, AI agents, Spark. Posted Oct 30, 2026, checked on the employer's site 41 min ago.
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Opens Walmart's own application page. No sign-up on Sudo Get Job.
Summary
As a Staff Data Scientist at Walmart, you will leverage advanced analytical techniques and machine learning to transform complex data into actionable business insights. This role requires expertise in data strategy, model development, and validation to support decision-making across multiple domains.
Quoted from Walmart's description, not rewritten.
Skills mentioned
About the role
Position Summary
What you'll do
Role summary:As a Staff Data Scientist at Walmart, you will leverage advanced analytical techniques and machine learning to transform complex data into actionable business insights. This role requires expertise in data strategy, model development, and validation to support decision-making across multiple domains. You will collaborate with cross-functional teams to design scalable solutions, develop predictive models, build auto-research capabilities, communicate findings through effective data visualization — while also mentoring junior team members to build technical capability across the team and driving end-to-end projects. Your contributions will drive innovation and operational excellence, ensuring data-driven strategies align with business objectives and deliver measurable value.
About the team:
Our team develops foundational models tailored for Walmart’s e-commerce platform by leveraging large-scale user interactions to create detailed representations of users, products, and search queries. These models support scalable search, advertising, recommendation, and personalization solutions. Team members apply expertise in data science, machine learning, and software engineering to optimize model performance, training, and deployment. Emphasizing data quality, advanced analytics, and effective visualization, the team delivers actionable insights that drive key business outcomes. Collaboration across functions fosters innovation and continuous improvement within a dynamic technology environment.
What you'll do:
- Identify and source relevant data from multiple business domains, ensuring data quality and suitability for analysis.
- Collaborate with cross-functional teams to translate business problems into data-driven solutions.
- Design, build, and validate predictive models using advanced statistical and machine learning techniques.
- Implement autonomous research loops where AI agents iteratively tune hyperparameters, modify training code/architecture, and run experiments against a defined objective metric (e.g., validation loss) with minimal human intervention.
- Automatically identify and select the best-performing models at the offline/experimentation level, reducing manual model-selection cycles.
- Deploy and monitor models in production, ensuring scalability and performance consistency.
- Mentor team members on analytical methods, coding best practices, and model development.
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.
- Experience with model assessment, validation, and deployment in production environments.
- Hands-on experience building or operating agentic/autonomous research systems — e.g., AI agents that iteratively tune hyperparameters, modify training code/architecture with minimal human intervention.
- Experience running automated experimentation against defined objective metrics (AutoResearch loops), including auto-generated evaluation reports, offline best-model selection.
- Ability to translate complex business problems into data-driven solutions using advanced analytical modeling.
- Familiarity with MLOps practices and NLP techniques.
- Effective communication skills to present insights and mentor junior team members.
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 $143,000.00 - $286,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- Stock
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 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, 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
815 Eleventh 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.Opens Walmart's own application page. No sign-up on Sudo Get Job.
