Staff, Data Scientist

Walmart · Retail · Bentonville, AR

Staff Data Scientist for Walmart's Sam's Club fraud detection team, focusing on building and deploying scalable ML models, including graph-based systems and Generative AI techniques, to detect and prevent various types of fraud.

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 and algorithms
  • implement model pipeline and deploy the service at scale
  • Graph Neural Networks (GNNs)
  • Generative AI / LLM-based approaches

Other signals

  • building and implementing ML models
  • highly-scalable ML models and algorithms
  • implement model pipeline and deploy the service at scale