Data Scientist III - Fraud Analytics & Machine Learning

Walmart • Bentonville, AR

5d • Onsite

About The Position

Every day, millions of customers trust Walmart to deliver a seamless shopping experience. Behind that experience is one of the world's largest and most sophisticated commerce ecosystems—and protecting it from fraud requires exceptional data scientists. As a Data Scientist III on the Inkiru Data Science team, you'll transform billions of data points into intelligent solutions that identify fraud, reduce risk, and protect both customers and the business. You'll partner with engineers, product managers, and business leaders to build analytics and machine learning solutions that directly influence decisions at global scale. If you're energized by solving complex problems, uncovering meaningful insights, and seeing your work deployed into production, we'd love to meet you. Fraud evolves every day—and so do we. Our team combines advanced analytics, statistical modeling, machine learning, and AI to stay ahead of emerging threats while delivering a seamless experience for customers and associates. Your work won't sit in a report. It will power real products, influence strategic decisions, and help protect one of the largest retailers in the world.

Requirements

• Strong analytical and statistical problem-solving skills.
• Experience working with large, complex datasets.
• Proficiency in SQL and Python (R is also welcome).
• Experience with distributed computing technologies such as Spark, Hive, or BigQuery.
• Familiarity with data visualization tools including Tableau, Power BI, or Looker.
• Ability to communicate technical concepts clearly to both technical and non-technical audiences.
• Passion for solving ambiguous problems using data.
• Bachelor's degree in a STEM field with 3+ years of relevant experience, or a Master's degree with 1+ years of experience.
• Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics or related field.
• Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field.
• Option 3: 4 years' experience in an analytics or related field.

Nice To Haves

• Experience in fraud analytics, financial risk, cybersecurity, or trust and safety.
• Experience building or deploying machine learning models.
• Knowledge of experimentation, causal inference, or advanced statistical techniques.
• Experience with Generative AI, LLMs, or AI-assisted analytics.
• Experience working in cloud-native data environments.
• 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.

Responsibilities

• Detecting emerging fraud trends using large-scale behavioral, transactional, and operational data.
• Building analytical models that improve fraud detection, risk management, and business decision-making.
• Creating intuitive dashboards and visualizations that help leaders quickly understand key business metrics.
• Partnering closely with Product, Engineering, Data Science, and Business teams to bring analytical solutions into production.
• Exploring new analytical techniques—including machine learning and AI—to solve evolving business challenges.
• Improving data quality through validation, governance, and scalable analytical processes.
• Communicating complex findings through compelling storytelling that drives action.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level