Senior Data Scientist

Walmart

Sunnyvale, CAFull-time$168,917–$234,000Posted Oct 29, 2026

About the role

What you'll do...

Position: Senior Data Scientist

Job Location: 1375 Crossman Avenue, Sunnyvale, CA 94089

Duties: Develop custom data models to drive innovative business solutions. Build complex data sets from multiple data sources, both internally and externally. Conduct advanced statistical analysis to determine trends and significant data relationships. Build learning systems to analyze and filter continuous data flows and offline data analysis. Train algorithms to apply models to new data sets. Validate models and algorithmic techniques. Scale new algorithms to large data sets. Combine data features to determine search models. Research new techniques and best practices within the industry. Utilize system tools including MySQL, Hadoop, Weka, R, Matlab, and ILog. Analyze large data sets to develop custom models and algorithms to drive business solutions. Work on project teams to provide analytical support to projects for Walmart eCommerce. Build large data sets from multiple sources to build algorithms for predicting future data characteristics. Those algorithms will be tested, validated, and applied to large data sets. Train the algorithms so they can be applied to future data sets and provide the appropriate search results. Research new trends in the industry and utilizing up-to-date technology (for example, HBase, MapReduce, LAPack, Gurobi) and analytical skills to support assigned projects. Work with cross-functional partners across the business. Develop models of current state to determine needed improvements.

Minimum education and experience required: Master’s degree or the equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 year of experience in an analytics related field; OR Bachelor’s degree or the equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years of experience in an analytics related field.

Skills required: Experience with statistical methods and modeling techniques: Graphical Models, Bayesian Inference, Neural Networks, SVM, and Random Forest. Experience coding in object-oriented programming languages and statistical tools: Python and R. Experience with optimization techniques: Newton-Rapson Methods and Gradient Descent. Experience with numerical methods of optimization: Linear Programming, Integer Programming, and Quadratic Programming. Experience with database technologies and distributed datastores: SQL and NoSQL. Experience with big data technologies: Hadoop, Spark, and Hive. Experience with data visualization tools: Ggplot, Matplotlib, Ploty, Tableau, and PowerBI. Experience with data ecosystem application including Data Management, Data Quality Standards and Data Governance, Accessibility, Storage, and Scalability. Experience with Natural Language Processing (NLP) tasks, including text classification and sentiment analysis, and using NLTK, spaCy, and Gensim. Experience with Vector Databases and designing, implementing, and managing vector databases. Experience with vector similarity search and indexing. Experience with machine learning algorithms, neural networks, and deep learning frameworks: TensorFlow and PyTorch. Experience using Git for code versioning, including managing repositories, branching and merging, and collaborating via platform: GitHub. Experience designing and implementing CI/CD pipelines, enabling automated testing, integration, and deployment of code to ensure rapid, reliable, and streamlined software releases. Experience with model evaluation and data drift detection. Employer will accept any amount of graduate coursework, graduate research experience or professional experience with the required skills.

Salary Range: $168,917/year to $234,000/year. Additional compensation includes annual or quarterly performance incentives.

Benefits: At Walmart, we offer competitive pay as well as performance-based incentive awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty and voting. Other benefits include short-term and long-term disability, education assistance with 100% company paid college degrees, company discounts, military service pay, adoption expense reimbursement, and more.

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.com.

Wal-Mart is an Equal Opportunity Employer.

#LI-DNI #LI-DNP

Walmart 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.

Responsibilities

  • Develop data models and algorithms to solve business problems and predict future data characteristics.
  • Build complex datasets from internal and external sources.
  • Conduct statistical analyses and validate models and algorithms.
  • Train and scale algorithms for large datasets and search applications.
  • Research industry techniques and technologies to support project teams.
  • Collaborate with cross-functional partners and identify opportunities to improve current processes.

Qualifications

  • Master’s degree in a related field and 1 year of analytics experience, or bachelor’s degree in a related field and 3 years of analytics experience.
  • Experience with statistical modeling, machine learning, optimization, and numerical methods.
  • Proficiency in Python, R, SQL, and NoSQL databases.
  • Experience with Hadoop, Spark, Hive, data visualization, and data governance.
  • Experience with NLP, vector databases, similarity search, and deep learning frameworks such as TensorFlow or PyTorch.
  • Experience with Git, CI/CD pipelines, model evaluation, and data drift detection.

Benefits

  • Medical, vision, and dental coverage
  • 401(k), stock purchase plan, and company-paid life insurance
  • Paid time off, sick leave, parental leave, and family care leave
  • Short- and long-term disability coverage
  • Education assistance, including company-paid college degrees
  • Company discounts and adoption expense reimbursement
  • Performance-based incentive awards

Skills mentioned

PythonRSQLStatistical AnalysisMachine LearningApache SparkApache HadoopData VisualizationDeep LearningTensorFlow

About Walmart

More than 60 years ago, Sam Walton opened the first Walmart in Rogers, Arkansas. Today, we’re a people-led, tech-powered omnichannel retailer dedicated to helping people save money and live better all around the world. Our 2.1 million associates are the engine behind what we do — serving customers and members in communities spanning 19 countries, in stores and clubs, online and through a supply chain built for speed and scale. We’re committed to creating clear pathways for associates to learn, grow and advance. Whether you’re starting your first job or bringing years of experience, you’ll find room to grow, learn new skills and build a career with purpose. We’re proud to invest in our people and foster a culture grounded in respect, integrity, service and striving for excellence. Recognized as a Fortune 100 Best Companies to Work For® (2025) and Great Place To Work®-Certified™ , we’re proud of what we’re building together.

Retail10,001+ employeesBentonville, Arkansas