Data Scientist ll - RiskOS

📋 Description

• Own the full data science lifecycle for Workforce Verification use cases on RiskOS—from data
• Explore and analyze workforce-related data sources (applications, resumes, device and behavioral
• Design, implement, and iterate on rules, conditions, and heuristic logic in RiskOS workflows to
• Develop and evaluate machine learning models for workforce risk and identity assessment (e.g.
• Collaborate with the RiskOS and Workforce product teams on GenAI-powered features such as the
• Partner closely with engineering to productionize models, rulesets, and GenAI components within

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Engineering, or a
• 3–6 years of hands-on experience in data science, machine learning, or applied analytics, with
• Experience owning end-to-end analytics and/or model development projects: problem framing, data
• Strong proficiency in Python and SQL, including experience with common data science and ML
• Comfort working with large, messy, and heterogeneous datasets (JSON workflows, logs, event streams
• Exposure to Natural Language Processing and/or unstructured text analytics—such as resume or