Position Summary...What you'll do...Fraud Analytics & Machine Learning | Walmart Global TechHelp Shape the Future of Retail IntelligenceAs 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.
Why This Role MattersFraud 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.
What You'll DoYou'll make an impact by:
- 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 You'll Work WithYou'll leverage modern technologies including:
- Python
- SQL
- Spark
- Hive
- BigQuery
- Distributed computing platforms
- Tableau
- Power BI
- Machine Learning frameworks
- Cloud-scale analytics platforms
- AI-assisted analytics and modern data science workflows
Why You'll Love This TeamYou'll join a collaborative team that values curiosity, experimentation, and continuous learning.
Here you'll have opportunities to:
- Solve problems at one of the largest scales in retail.
- Work with experienced data scientists and machine learning engineers.
- Influence product strategy with data-driven insights.
- Build solutions that move from concept into production.
- Learn new technologies while working on meaningful business challenges.
- Grow your career through mentorship, leadership opportunities, and cross-functional collaboration.
What Success Looks LikeWithin your first year, you'll:
- Deliver analytical solutions that influence fraud strategy.
- Build trusted relationships across Product, Engineering, and Business teams.
- Create scalable dashboards and reporting used by leadership.
- Improve fraud detection through innovative analytical approaches.
- Contribute to production-ready data science solutions that create measurable business value.
What You'll BringWe're looking for someone who combines technical excellence with curiosity and business acumen.
Preferred qualifications include:
- 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.
Bonus Points If You Have- 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.
Minimum Qualifications...Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
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.
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... 
