Senior, Data Scientist

Walmart Walmart · Retail · Bentonville, AR

Senior Data Scientist role focused on fraud detection for Sam's Club, involving building and implementing ML models, graph-based detection systems (GNNs), and leveraging Generative AI (GenAI) techniques for enhanced detection, investigation automation, and explainability. The role requires experience in production ML systems at scale and collaboration with business and technical stakeholders.

What you'd actually do

  1. Use machine learning to develop models for fraud detection in areas such as E-Commerce & In-club payment fraud, Return abuse, Account takeover (ATO) etc.
  2. Design and implement graph-based fraud detection systems, including link analysis, entity resolution, and Graph Neural Network (GNN) models to detect coordinated fraud rings and network-level risk signals.
  3. Leverage Generative AI techniques (e.g., LLMs and Agentic workflows) to enhance fraud detection, automate investigation workflows, generate risk narratives, and improve model explainability.
  4. Partnering with business and technical stakeholders to translate fraud business problems into data science solutions.
  5. Work on highly-scalable ML models and algorithms in big data mining, graph modeling & other domains.

Skills

Required

  • Python
  • SQL
  • PySpark
  • GCP
  • BigQuery
  • Graph Neural Networks (GNNs)
  • Generative AI / LLM-based approaches

Nice to have

  • fraud risk solutions

What the JD emphasized

  • building and implementing ML models
  • highly-scalable ML models
  • Graph Neural Networks (GNNs)
  • Generative AI (GenAI) techniques
  • production machine learning systems at scale

Other signals

  • building and implementing ML models
  • detecting changed fraud trends
  • driving innovation in detecting & preventing fraud
  • leveraging Graph Neural Networks (GNNs)
  • Generative AI (GenAI) techniques