Senior, Data Scientist
About The Position
As a Senior Data Scientist at Walmart, you will use advanced analytical techniques and domain expertise to identify, develop, and deploy data-driven solutions that support strategic business objectives. You will extract and validate data from multiple sources, build scalable models, deliver actionable insights through visualization and communication, collaborate across functions, mentor team members, and support data governance and quality standards. The role is part of Walmart’s fraud detection team, working with large-scale business and social data from online and offline commerce. You will use deep learning, machine learning, data mining, and anomaly detection techniques to design and prototype robust, scalable predictive models and analytics solutions. You will work with Data Scientists, Engineers, Product Managers, and business professionals across data science, big data, IT infrastructure, and business operations.
Requirements
- Technical expertise in machine learning, statistical analysis, and storytelling.
- Proficiency with machine learning and data mining packages in Python.
- Experience working with large datasets and distributed computing tools.
- Programming skills in Java or JavaScript on a UNIX or Linux platform.
- One of the stated minimum qualification pathways: a bachelor’s degree in a listed or related field plus 3 years of analytics-related experience; a master’s degree in a listed or related field plus 1 year of analytics-related experience; or 5 years of experience in an analytics or related field.
Nice To Haves
- Experience with GCP or BigQuery.
- Production deployment experience.
- GenAI or Agentic AI experience.
- Experience in data science, machine learning, or optimization models.
- Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, or Econometrics.
- Successful completion of one or more assessments in Python, Spark, Scala, or R.
- Experience using open-source frameworks such as scikit-learn, TensorFlow, or Torch.
- Background creating inclusive digital experiences and knowledge of WCAG 2.2 AA standards, assistive technologies, digital accessibility best practices, and Walmart accessibility standards and guidelines.
Responsibilities
- Design, build, and implement predictive models using high-dimensional, fast-moving real-time datasets.
- Own fraud and abuse risks in a product or product segment and partner strategically with product development teams, sharing insights and recommendations through clear communication and data storytelling.
- Use machine learning, AI, deep learning, and data mining techniques to develop robust anomaly-detection models, such as bot detection.
- Build data visualizations and interactive dashboards to monitor and share business insights internally and externally.
- Contribute to research and US patent filings to address new fraud issues, develop tools, or automate processes.
- Mentor team members and help ensure alignment with data governance and quality standards.
Benefits
- Medical, vision, and dental coverage.
- 401(k).
- Stock purchase plan.
- Company-paid life insurance.
- Paid time off, including sick leave, and PTO/PPTO that may be used for vacation, sick leave, holidays, or other purposes.
- Parental leave, family care leave, bereavement leave, jury duty leave, and voting leave.
- Short-term and long-term disability.
- Company discounts.
- Military Leave Pay.
- Adoption and surrogacy expense reimbursement.
- Walmart-paid education benefit program (Live Better U), including tuition, books, and fees for eligible programs.
- Performance-based bonus awards; annual or quarterly performance bonuses are specified for additional compensation.
- Stock may be included as additional compensation for certain positions.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
