Lead Data Scientist
Core
Engineer, develop, and operationalize data-driven risk scoring, signal prioritization, and agent-driven security workflows within a SaaS security platform.
Role type
Lead Data Scientist (Risk Intelligence & AI)
Builds
Production systems combining data science, explainable decision logic, and AI for SaaS security investigation and triage.
Domain
SaaS security, risk modeling, AI/ML
Deliverable
production ML models | product features
Required skills
statistical modeling, probabilistic reasoning, machine learning, AI techniques, decision system design under uncertainty, LLM/agent workflow design, model evaluation and monitoring, SQL, Python, PyTorch, scikit-learn, GCP (Dataproc/PySpark, Dataflow, Pub/Sub/Kafka), data lakes
Preferred skills
security, identity, fraud, abuse, trust & safety, risk modeling
Technologies
GCP, Dataproc, PySpark, Dataflow, Apache Beam, Pub/Sub, Kafka, SQL, Python, scikit-learn, PyTorch
Responsibilities
Design and implement risk scoring and prioritization approaches; develop explainable decision logic; apply statistical modeling and ML to improve risk assessment; lead development of AI-assisted product capabilities; establish evaluation methods for model quality; incorporate product usage signals and feedback; monitor production systems for stability and safety; partner with Engineering to operationalize models and pipelines; act as a technical leader on applied data science and AI.
Seniority
Senior, hands-on IC with technical leadership