Data Scientist

Visa Visa · Fintech · Austin, TX

This role focuses on developing and implementing sophisticated machine learning and Generative AI models for cyber threat analytics and research. Key responsibilities include analyzing cyber event logs, formulating threat scenarios into data problems, devising deep learning models for user behavior profiling, feature engineering, and utilizing GenAI for auto-triaging anomalous behavior and creating agentic agents to enhance investigation efficiency. The role involves working with large datasets, big data technologies like Spark, and building analytical software and services.

What you'd actually do

  1. Analyze cyber event logs using Spark and big data technologies and develop deeper insights into products using advanced ML methods.
  2. Formulate cyber threat scenarios into technical data problems and develop high fidelity models to capture unseen threats.
  3. Devise and implement deep learning models for building user behavior profiles. This includes data acquisition, feature engineering, model development, and deployment.
  4. Conduct feature engineering on various data sources to build and enrich feature store.
  5. Use GenAI to auto triage anomalous user behavior by collecting all necessary contexts.
  6. Use GenAI to create agentic agents that enhances cyber investigation efficiency.

Skills

Required

  • Python
  • SQL
  • Spark
  • Hadoop
  • Hive
  • Machine learning
  • Deep learning
  • Generative AI
  • AI agents

Nice to have

  • Statistical profiling
  • Inference
  • Classification
  • Clustering
  • Predictive analysis
  • Feature engineering
  • User behavior profiling
  • Cyber threat analysis
  • Data acquisition
  • Model deployment
  • Feature store
  • Agent orchestration
  • Cyber investigation efficiency

What the JD emphasized

  • Solid background and hands on experiences with building Machine learning, deep learning and AI models.
  • Experience with Generative AI/LLM, AI agents.

Other signals

  • Develop and implement sophisticated machine learning models to help derive new insights to defend against cyber-attacks.
  • Use GenAI to auto triage anomalous user behavior by collecting all necessary contexts.
  • Use GenAI to create agentic agents that enhances cyber investigation efficiency.