Data Scientist ll - RiskOS
Core
Data Scientist for Workforce Verification on the RiskOS platform, focusing on detecting hiring fraud (fake resumes, deepfake interviews, identity rental) using AI, ML, and GenAI.
Role type
Mid-level hands-on IC data scientist (fraud/risk)
Builds
AI-powered identity verification and fraud prevention workflows for the hiring funnel
Domain
Identity verification, fraud analytics, workforce/hiring technology
Deliverable
production ML models | product features
Required skills
Python, SQL, end-to-end model lifecycle ownership, fraud/risk analytics, NLP/unstructured text processing, Generative AI/LLM integration, data engineering basics
Preferred skills
Workforce/HR tech experience, identity verification systems, GenAI evaluation frameworks
Technologies
pandas, scikit-learn, XGBoost, PySpark, LLM APIs, RAG
Responsibilities
Own end-to-end data science lifecycle for workforce fraud detection; analyze multi-source data to identify fraud patterns; design rules and ML models for risk scoring; collaborate on GenAI features like resume verification agents; partner with engineering to productionize models and rules; translate model performance into customer narratives.
Seniority
Mid-level, hands-on IC with mentorship from seniors