Data Scientist III - Fraud Analytics & Machine Learning

Position Summary...

What you'll do...

Help Shape the Future of Retail Intelligence

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.

You'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.

You'll leverage modern technologies including:

• Python
• SQL
• Spark
• Hive
• Big Query
• Distributed computing platforms
• Tableau
• Power BI
• Machine Learning frameworks
• Cloud-scale analytics platforms
• AI-assisted analytics and modern data science workflows

You'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.

Within 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.

We'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 Big Query.
• 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.

• 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.

Technology is reshaping how the world shops.

At Walmart Global Tech, you'll help solve problems that few companies can match in complexity or scale. Our teams build products and platforms that serve millions of customers, associates, and suppliers every day.

Here, your work has immediate impact.

You'll have access to world-class data, modern technologies, and talented teammates—all while helping build the future of retail.

Whether your passion is analytics, machine learning, artificial intelligence, or data engineering, you'll find opportunities to learn, innovate, and grow your career.