Data Scientist ll - RiskOS

The role

You will own the end-to-end data science lifecycle for Workforce Verification on the RiskOS platform. You will analyze multi-source data to uncover fraud patterns and translate insights into machine learning models and rules. The role involves designing GenAI-powered components for unstructured text data like resumes.

What you will do

• Own the full data science lifecycle for Workforce Verification use cases on RiskOS
• Explore and analyze workforce-related data sources to identify fraud patterns
• Design, implement, and iterate on rules, conditions, and heuristic logic in RiskOS workflows
• Develop and evaluate machine learning models for workforce risk and identity assessment
• Collaborate with product teams on GenAI-powered features
• Partner with engineering to productionize models, rulesets, and GenAI components
• Translate model and rule performance into customer-facing narratives
• Incorporate customer feedback to improve Workforce Verification logic and models
• Document assumptions, decisions, and evaluation results

Required qualifications

• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field, or equivalent practical experience
• 3–6 years of hands-on experience in data science, machine learning, or applied analytics
• Experience owning end-to-end analytics and/or model development projects
• Strong proficiency in Python and SQL
• Experience with common data science and ML libraries (e.g., pandas, scikit-learn, XGBoost, PySpark, or similar)
• Comfort working with large, messy, and heterogeneous datasets
• Exposure to Natural Language Processing and/or unstructured text analytics
• Hands-on experience working with Generative AI or LLM-based products
• Strong analytical and problem-solving skills
• Ability and willingness to take on light data engineering and production-oriented tasks
• Clear, concise communication skills

Nice to have

• Meaningful work on fraud, risk, trust & safety, or workforce/hiring analytics
• Direct experience with workforce, HR tech, ATS/HRIS data, or hiring funnel analytics
• Prior work on identity verification, device intelligence, or orchestration/rules engines
• Familiarity with evaluation and monitoring of GenAI systems

About the company

Socure is building the identity trust infrastructure for the digital economy. It is a provider of digital identity verification and fraud prevention solutions leveraging AI and machine learning.