Senior Data Scientist, Applied ML

SpyCloud is on a mission to make the internet a safer place by disrupting the criminal underground. SpyCloud’s solutions thwart cyberattacks and protect more than 4 billion accounts worldwide. Cybersecurity is an exciting, evolving space, and being at the forefront of the fight to disrupt cybercrime makes SpyCloud a special place to work. If you’re driven to align your career with a fantastic mission, look no further!

We're looking for a Senior Data Scientist, Applied ML to design, build, and deploy models for critical cybersecurity use cases like incident detection and mitigation, fraud intelligence, and risk scoring.

You'll own the full model lifecycle — from data understanding and preparation through prototyping and deployment in production — and work closely with engineering, product, and research teams to turn complex problems into scalable, reliable systems. This role is ideal for someone who thrives in applied, hands-on environments where impact and collaboration matter, and who has genuinely owned data work end-to-end.

What You'll Do

You will develop, train, and deploy models using real-world structured and unstructured data to power critical security features such as threat detection and alerting, entity resolution and risk scoring, and natural language-based tagging and classification. You'll build the preprocessing and feature engineering pipelines your own models depend on, and you'll own model monitoring and evaluation, designing feedback loops to continuously improve accuracy and effectiveness.

You'll be equally comfortable prototyping new approaches from scratch and taking existing prototypes — from our R&D team or your own experimentation — to production-grade reliability. This role sits deliberately at the intersection of research and deployment, not on one side of it: you'll take ownership of data validation, transformation, and pipeline health across the handoff points between research and production, not just within t