Data Scientist II, RiskOS — Fraud & GenAI Specialist

Socure; Miami (FL); On-site; USD 140,000 - 170,000; Full time

Job summary

Socure seeks a data scientist to own end‑to‑end analytics for Workforce Verification in RiskOS. You will explore diverse data sources, build and deploy models, and refine rules to detect identity fraud across hiring funnels.

Collaboration with GenAI features and product teams is essential. You will work with engineering to productionize models and provide clear narratives on outcomes, such as blocking fake applicants and reducing deepfake interviews.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Engineering, or related quantitative field
• 3–6 years of hands‑on experience in data science, machine learning, or applied analytics, with fraud/risk/workforce analytics preferred
• Strong proficiency in Python and SQL, with pandas, scikit‑learn, XGBoost, PySpark experience
• Comfort working with large, messy datasets including JSON workflows, logs, event streams
• Exposure to NLP and unstructured text analytics (resume parsing, entity extraction, embeddings)
• Hands‑on experience with Generative AI/LLMs and related evaluation
• Strong analytical and problem‑solving skills in ambiguous, adversarial contexts
• Willingness to perform light data engineering and production tasks with engineering
• Clear communication of complex analyses to non‑technical stakeholders
• Bias toward ownership, learning, and collaboration in fast-paced env

Responsibilities

• Own the full data science lifecycle for Workforce Verification in RiskOS, from exploration to model deployment and monitoring
• Analyze workforce data sources (applications, resumes, device telemetry, background checks) to detect patterns of fraud
• Design rules and heuristics in RiskOS workflows to identify high‑risk workforce events
• Develop and evaluate ML models for workforce risk, including fraud scoring and identity clustering
• Collaborate on GenAI features like Resume Verification Agent and explanation agents; define data needs and evaluation frameworks
• Work with engineers to productionize models, rulesets and GenAI components; support interfaces and monitoring
• Translate model/rule performance into customer‑facing narratives with product, GTM, and solution teams
• Incorporate customer feedback to improve Workforce Verification logic and support safe offline testing
• Operate with a product mindset; document assumptions and decisions, surface risks and opportunities

Skills

Python

SQL

Analytical thinking

Problem solving

Communication

GenAI

NLP

Education

Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Engineering, or related quantitative field

Tools

pandas

scikit-learn

XGBoost

PySpark

ETL

Airflow

Spark

NLP tools

LLMs

RAG-style retrieval

Job description

Socure seeks a data scientist to own end‑to‑end analytics for Workforce Verification in RiskOS. You will explore diverse data sources, build and deploy models, and refine rules to detect identity fraud across hiring funnels.

Collaboration with GenAI features and product teams is essential. You will work with engineering to productionize models and provide clear narratives on outcomes, such as blocking fake applicants and reducing deepfake interviews.