Position Summary...What you'll do...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 extracting and validating data from multiple sources, building scalable models, and delivering actionable insights through effective visualization and communication. You will collaborate across functions to translate complex business challenges into innovative data strategies, mentor team members, and ensure alignment with data governance and quality standards, driving measurable impact and continuous improvement within the organization.
About the team: We are looking for a passionate, creative full stack Senior Data Scientist to join Walmart's fraud detection team. You will have the unique opportunity to work with massive business and social data generated by Walmart Inc.'s unparalleled online and offline commerce.
You will be responsible to use cutting-edge deep learning, machine learning, data mining, and anomaly detection techniques to design and prototype robust, scalable predictive models and analytics solutions. You will be a part of a cross-functional team of Data Scientists, Engineers, Product managers, and Business professionals that sit between Data Science, Big data, IT infrastructure, and business operations.
What you'll do: - Design, build and implement predictive models with high-dimensional, fast moving real time datasets.
- Own fraud/abuse risks in a product or segment of a product, be a strategic partner to product development teams, sharing insights and providing recommendations through effective communication and storytelling with data.
- Use ML/AI, deep learning and data mining techniques to develop robust models for anomaly detection such as bot detection.
- Build data visualizations and interactive dashboards for monitoring and sharing business insights internally and externally.
- Unique opportunities in research and US patent filings to address new fraud issues, develop new tools or automate processes.
What you'll bring: - Technical expertise in machine learning, statistical analytical and story telling
- Proficient in machine learning and data mining packages in Python.
- Experience working with large data sets and distributed computing tools (GCP/BigQuery experience preferred).
- Programming skills in one of the following languages: Java, or JavaScript on a UNIX or Linux platform
- Production deployment experiences preferred
- GenAI/Agentic AI experiences preferred
At Walmart, we offer competitive pay as well as performance-based bonus 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, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.
For information about PTO, see https://one.walmart.com/notices.
Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
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-11658: The annual salary range for this position is $117,000.00 - $234,000.00
Bellevue, Washington US-11663: The annual salary range for this position is $108,000.00 - $216,000.00
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.
Primary Location...1275 Crossman Ave, Sunnyvale, CA 94089-1103, United States of America
