Drimva

Salesforce

Lead Data Scientist – Cyber Security Operations Center

$172K–$286K

Washington - Bellevue +2 · Office - Flexible · Full-time · Posted Oct 23, 2026

Location
Washington - Bellevue
Virginia - Mclean
California - San Francisco
Experience
8+ years in applied data science, machine learning, or AI engineering; alternatively, 6+ years with a relevant Master’s or Ph.D. Also requires 3+ years in technical leadership.

About the job

Leads data science and AI initiatives to build and scale cybersecurity threat detection and autonomous defenses for Salesforce’s cloud platform.

What you'll do

  • Set technical direction and architect detection models and frameworks from proof of concept through production.
  • Lead cross-functional work to identify detection gaps and build agentic monitoring, automated threat correlation, and model feedback capabilities.
  • Mentor data science teams, establish technical standards, and communicate findings and proposals to stakeholders.

What they ask for

  • Deep expertise in applied statistics, probability, and advanced machine learning.
  • Experience deploying ML pipelines and models on multi-terabyte or petabyte-scale datasets.
  • Production-level programming in Python, Java, or Scala, and fluency in big data frameworks and modern MLOps ecosystems.
  • At least 3 years in technical leadership, owning project lifecycles from ideation to production.

Nice to have

  • Cybersecurity domain expertise, including threat propagation, signal correlation, security log analysis, and behavioral threat modeling.
  • Experience building agentic AI systems, automated reasoning, or generative AI workflows in high-consequence operational environments.

Pay

$172,500 - $260,100 annually (base salary, USD); $207,800 - $285,800 annually (base salary, USD)

Tools

Python, Java, Scala, Spark, PySpark, Flink

AI focus

Architects and delivers AI- and ML-driven threat detection, including agentic monitoring, automated threat correlation, and continuous model feedback loops.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 5, 2026 (UTC)