Position Summary...

What you'll do...

What you'll do...

Position Summary

About The Walmart Marketplace Decision Management Team
 

Walmart’s Decision Management Team supports the growth of the e-Commerce Marketplace program through the practical application of data science and advanced analysis to optimize risk decision strategies.  This includes data analysis, advanced statistics, case investigation and application of advanced modeling techniques to manage risk on the ecommerce platform. We work alongside business, product, and engineering teams to deliver solutions to manage Marketplace risk.
 

What You'll Do…

As a Senior Data Scientist, you will drive both analytical insight and technical model development to detect and mitigate fraud and performance risks. You’ll work on high-impact problems that require a mix of rigorous analysis, experimentation, and machine learning. This role is ideal for someone who is comfortable moving between deep analytics and building scalable models in production.

How You'll Make an Impact:

• Develop Risk Mitigation Models using machine learning, anomaly detection, and statistical techniques to identify and respond to emerging risk trends on the Marketplace platform.
• Analyze Risk Patterns by exploring large datasets to uncover emerging fraud tactics, behavioral anomalies, and areas of business exposure.
• Develop Predictive Models using supervised and unsupervised learning techniques to power risk detection systems at scale.
• Lead Deep-Dive Analytics to inform risk policy, product decisions, or operational strategies—identifying key drivers, trends, and optimization opportunities.
• Integrate Agentic AI Frameworks to support semi-autonomous risk detection systems that can adapt and respond to evolving fraud patterns in real-time.
• Explore Generative AI (GenAI) Applications for synthetic data generation, anomaly simulation, or scenario modeling to improve risk model robustness.
• Collaborate Cross-Functionally with product, engineering, and operations teams to ensure seamless integration of data science solutions into business workflows.
• Monitor Model Performance and proactively identify areas for improvement using quantitative metrics, feedback loops, and model diagnostics.
• Bridge Analytics and Science by combining robust data analysis with model development to create solutions that are both explainable and effective.
• Translate Insights into Action by communicating complex analytical findings clearly to both technical and non-technical stakeholders.
• Design and Execute Experiments (e.g., A/B tests, statistical validations) to evaluate model impact and improve decision strategies.

What You'll Bring:

• Strong understanding of machine learning, data exploration, statistical modeling, and their application to risk and fraud detection in digital marketplaces.
• Demonstrated experience developing and deploying models to identify anomalous behavior, detect fraud, or assess risk in real-time systems.
• Proficiency in Python, SQL, and data science libraries/frameworks such as scikit-learn, XGBoost, TensorFlow, or PyTorch.
• Familiarity with Agentic AI systems or AI agents—understanding of how autonomous models can be leveraged in dynamic decision environments.
• Experience conducting experimentation and model validation using rigorous statistical methods (e.g., A/B testing, ROC/AUC, precision/recall).
• A strong problem-solving mindset and ability to translate ambiguous business problems into clear analytical frameworks.
• Excellent written and verbal communication skills, with the ability to explain technical concepts to diverse audiences.
• Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn) to craft compelling insights.

Minimum Qualifications:

• Option 1: Bachelor’s degree in Statistics, Computer Science, Data Science, Mathematics, or related field, with 5+ years of hands-on experience in data science, machine learning, or risk management.
• Option 2: Master’s degree in a related field (e.g., Data Science, Machine Learning, Statistics, Applied Mathematics) with at least 3+ years of applied experience working on data-driven risk management or fraud prevention.
• Option 3: 6-8 years of direct experience in data science, machine learning, or applied risk management within an e-commerce or marketplace setting.

Preferred Qualifications:

• Expertise in using advanced machine learning techniques such as deep learning, reinforcement learning, or anomaly detection for fraud detection or risk mitigation.
• Understanding of LLMs, agentic workflows, or prompt engineering concepts in the context of AI-enhanced decision systems.
• Experience with big data technologies like Apache Spark, Hadoop, and cloud-based data solutions (e.g., AWS, Google Cloud) to build scalable risk management platforms.
• Proficiency in data manipulation and analysis tools such as Pandas, NumPy, and SQL for data wrangling, feature engineering, and analysis.
• Strong background in model evaluation techniques including ROC/AUC, confusion matrices, precision/recall, and F1 scores, as well as experience with A/B testing and model validation.

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.

‎ 

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

‎ 

‎ 

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...

680 West California Avenue, Sunnyvale, CA 94086-4834, United States of America