Data Scientist ll - RiskOS

Socure
Miami, San Francisco, New York, Seattle
Workplace: HybridFull timeUSD 140,000 - 170,000 annuallyFunction: Data Science & Machine LearningExperience: 3-6 yearsEducation: bachelorsSkills: ["Analytical and problem-solving","Communication","Ownership","Collaboration","Reasoning about ambiguous signals"]

Own the end-to-end data science lifecycle for Workforce Verification use cases in RiskOS. Analyze multi-source hiring and identity signals to uncover workforce fraud patterns, then build and evaluate ML models and risk logic deployed inside workflows. Partner with product and engineering on GenAI features like resume verification and explanation agents, define evaluation frameworks, and help productionize and monitor models, rulesets, and LLM components.

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FursaFursa
Socure
Socure
1 day ago

Data Scientist ll - RiskOS

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Source: Company careers pageValidated by: Fursa AI
Last checked: 15 hours agoStatus: Live

Job Summary

Own the end-to-end data science lifecycle for Workforce Verification use cases in RiskOS. Analyze multi-source hiring and identity signals to uncover workforce fraud patterns, then build and evaluate ML models and risk logic deployed inside workflows. Partner with product and engineering on GenAI features like resume verification and explanation agents, define evaluation frameworks, and help productionize and monitor models, rulesets, and LLM components.
Location: Miami, San Francisco, New York, Seattle
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Own the full data science lifecycle for Workforce Verification in RiskOS—from exploration and hypothesis generation through model/rule development, evaluation, deployment, and monitoring.
  • •Analyze workforce data sources (applications, resumes, device and behavioral telemetry, background checks, ATS/HRIS integrations) to detect workforce fraud patterns.
  • •Design and iterate on rules, conditions, and heuristic logic in RiskOS workflows to identify high-risk workforce events.
  • •Develop and evaluate ML models for workforce risk and identity assessment (scoring, clustering, anomaly detection) using available identity/device signals.
  • •Collaborate with product and engineering to build GenAI components (e.g., Resume Verification Agent and explanation agents), define interfaces/evaluation frameworks, and support productionization, integration, and monitoring.

Pay and Benefits

Salary: USD 140,000 - 170,000 annually

Key Requirements

  • •Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Engineering, or related quantitative field, or equivalent practical experience.
  • •3–6 years of hands-on experience in data science, machine learning, or applied analytics with meaningful fraud/risk/trust or workforce/hiring analytics experience.
  • •End-to-end ownership across analytics and/or model development (problem framing, data wrangling, feature engineering, training, evaluation, and deployment support).
  • •Strong proficiency in Python and SQL, plus experience with data science/ML libraries such as pandas, scikit-learn, XGBoost, or PySpark.
  • •Experience with natural language processing and/or unstructured text analytics (e.g., parsing, entity extraction, similarity search, or embedding-based methods) and comfort with Generative AI/LLM-based products.
Experience:3-6 yearsFraudRiskTrust & safetyWorkforce/hiring analytics
Education:Bachelor's in Computer Science, Statistics, Mathematics, Engineering (or related quantitative field)
Skills:Analytical and problem-solvingCommunicationOwnershipCollaborationReasoning about ambiguous signals
Tech Stack:PythonSQLPandasScikit-learnXGBoostPySparkJSONLogsEvent streamsNatural Language ProcessingUnstructured text analyticsEmbeddingsGenerative AILLM APIsRAGAirflowSpark

Company Brief

Socure
Provides AI-driven digital identity verification and fraud prevention solutions that analyze device, behavioral, and contextual data to detect synthetic identities, stop account takeover, and enable secure onboarding for banks, fintechs, and enterprises.
Industry: Cybersecurity
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: New York, United States
Founded: 2012
Glassdoor
Glassdoor: 4.1
WebsiteLinkedIn