Senior Data Scientist - Document Verification

Socure
San Francisco, Seattle, New York, Miami
Workplace: HybridFull timeUSD 191,000 - 230,000 annuallyFunction: Data Science & Machine LearningExperience: 5+ yearsEducation: mastersSkills: ["Ownership","Critical thinking","Communication","Cross-functional collaboration","Influencing decisions"]

Build and improve production machine learning models for document verification and fraud detection across Socure’s DocV platform. You’ll develop models and evaluation frameworks, analyze product performance and fraud trends, and create dashboards/KPIs to monitor model health using precision/recall and FAR/FRR. Partner with Product, Engineering, Fraud Operations, and Solutions Engineering to turn business needs into data-driven solutions, while also delivering tooling for automation and self-serve analytics.

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FursaFursa
Socure
Socure
1 day ago

Senior Data Scientist - Document Verification

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live

Job Summary

Build and improve production machine learning models for document verification and fraud detection across Socure’s DocV platform. You’ll develop models and evaluation frameworks, analyze product performance and fraud trends, and create dashboards/KPIs to monitor model health using precision/recall and FAR/FRR. Partner with Product, Engineering, Fraud Operations, and Solutions Engineering to turn business needs into data-driven solutions, while also delivering tooling for automation and self-serve analytics.
Location: San Francisco, Seattle, New York, Miami
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design, develop, and improve ML models for document verification, fraud detection, image quality assessment, biometric verification, and related use cases.
  • •Research modeling approaches and fraud detection techniques to improve production performance.
  • •Analyze product performance, fraud trends, customer behavior, and emerging attack vectors.
  • •Design and execute model evaluations on offline and production datasets, measuring precision/recall and FAR/FRR, and assessing business impact.
  • •Build tooling and automation for model evaluation, monitoring, labeling workflows, and fraud investigations, plus dashboards/KPIs and self-service analytics.

Pay and Benefits

Salary: USD 191,000 - 230,000 annually

Key Requirements

  • •MS/PhD (or equivalent) in Computer Science, Statistics, Data Science, or related fields.
  • •5+ years’ experience in machine learning, data science, fraud analytics, or product analytics.
  • •Strong experience developing and evaluating production ML models.
  • •Expert SQL and Python skills.
  • •Experience with Databricks, Spark, AWS SageMaker, or similar ML platforms.
Experience:5+ yearsFraud analyticsProduct analyticsMachine learningData science
Education:Master's in Computer Science, Statistics, Data Science, or a related field
Skills:OwnershipCritical thinkingCommunicationCross-functional collaborationInfluencing decisions
Tech Stack:SQLPythonDatabricksSparkAWS SageMakerMachine learningModel evaluationA/B testingExperimentationComputer visionDeep learningTransformer-based models

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