Staff Data Scientist - Fraud & Risk

Socure
New York, San Francisco
Workplace: HybridFull timeUSD 191,000 - 230,000 annuallyFunction: Data Science & Machine LearningExperience: 8+ yearsEducation: mastersSkills: ["Communication","Mentoring","Continuous learning","Accountability","Cross-functional collaboration"]

Join Socure’s Fraud & Risk Data Science team as a Staff Data Scientist, an advanced individual contributor responsible for designing, building, and optimizing deep learning models for fraud detection, risk management, and identity verification. Lead end-to-end ML from data exploration and feature engineering through training, evaluation, deployment, and production monitoring. Collaborate with Product, Engineering, and Risk stakeholders, research new data sources, mentor peers, and clearly communicate findings to technical and executive audiences.

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Socure
Socure
2 days ago

Staff Data Scientist - Fraud & Risk

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Last checked: 11 hours agoStatus: Live

Job Summary

Join Socure’s Fraud & Risk Data Science team as a Staff Data Scientist, an advanced individual contributor responsible for designing, building, and optimizing deep learning models for fraud detection, risk management, and identity verification. Lead end-to-end ML from data exploration and feature engineering through training, evaluation, deployment, and production monitoring. Collaborate with Product, Engineering, and Risk stakeholders, research new data sources, mentor peers, and clearly communicate findings to technical and executive audiences.
Location: New York, San Francisco
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key Responsibilities

  • •Design, develop, and implement advanced deep learning models (transformers, CNNs/RNNs, and graph learning) for fraud and risk challenges.
  • •Build and optimize models across diverse data modalities, including tabular data, natural language, point clouds, and images.
  • •Own the end-to-end ML lifecycle: data exploration, feature engineering, training, evaluation, deployment, and monitoring in production.
  • •Take ownership of outcomes, data quality, and delivery timelines; escalate and collaborate to resolve issues.
  • •Mentor peers and collaborate with Product, Engineering, and Risk teams to define data requirements and deliver actionable insights.

Pay and Benefits

Salary: USD 191,000 - 230,000 annually
Equity and Bonus:Equity
Perks:EquityAnnual Bonus

Key Requirements

  • •Master’s or PhD in Computer Science, Statistics, Applied Mathematics, Data Science, or a related field, or equivalent professional experience.
  • •8+ years of experience in data science and machine learning, ideally in a high-growth tech or fintech environment.
  • •Experience in fraud prevention, risk modeling, or identity verification.
  • •8+ years of hands-on deep learning development and deployment (e.g., transformers, CNNs/RNNs, graph learning).
  • •Strong proficiency in Python and SQL, with major ML libraries/frameworks (e.g., PyTorch, TensorFlow, scikit-learn), plus model deployment/monitoring in production.
Experience:8+ yearsFraud preventionRisk modelingIdentity verificationFintechDeep learning
Education:Master's in Computer Science, Statistics, Applied Mathematics, Data Science
Skills:CommunicationMentoringContinuous learningAccountabilityCross-functional collaboration
Tech Stack:PythonSQLPyTorchTensorFlowScikit-learnTransformersCNNsRNNsGraph learningLLMsLangChainLangGraphRayPoint cloudsNatural languageImages

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