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Senior Data Scientist (Document Verification)

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Onsite

Senior Data Scientist (Document Verification)

Socure

Senior Data Scientist (Document Verification)

Skills

SQL QueriesDeep LearningPythonData ScienceDatabricksData AnalysisMachine LearningAWS

2 months ago

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Important information


Contract type:

Permanent

Salary:

$191,000 – $230,000 / year

Location:

San Francisco, CA, USA

Work mode:

Onsite

Published on:

13 August 2026

What they need


  • We are seeking a highly technical Senior Data Scientist to drive machine learning innovation for Socure’s Document Verification (DocV) platform.
  • This role combines model development, product analytics, model evaluation, and ML tooling to improve fraud detection, customer experience, and operational efficiency.
  • You will partner closely with Product, Engineering, Fraud Operations, and Data Science to build production ML models, generate actionable insights, and develop scalable evaluation and automation frameworks
  • Design, develop, and improve ML models for document verification, fraud detection, image quality assessment, biometric verification, and related use cases
  • Research new features, modeling approaches, and fraud detection techniques to improve production performance
  • Partner with Engineering to deploy, monitor, and continuously improve production models
  • Analyze product performance, fraud trends, customer behavior, and emerging attack vectors
  • Design and execute model evaluations using offline and production datasets, measuring precision, recall, FAR/FRR, and business impact
  • Develop dashboards and KPIs to monitor model health, product performance, and operational metrics
  • Build tools and automation for model evaluation, performance monitoring, labeling workflows, and fraud investigations
  • Develop self-service analytics and experimentation frameworks
  • Improve analytics infrastructure supporting model development and monitoring
  • Partner with Product, Engineering, Fraud Operations, and Solutions Engineering to translate business needs into data-driven solutions
  • Communicate technical findings and influence product and modeling decisions

Benefits

  • Health: Comprehensive medical coverage, including vision, dental, and FSA
  • Parental Leave: Generous leave allowance for
    parents-to-be
  • 401k: Pre-tax savings for retirement
  • Life Insurance: Protect your family in
    case of emergency
  • PTO: Take as much time as you need,
    when you need it
  • 100% Remote: Work from anywhere anytime, whatever suits your lifestyle
  • WFH Allowance: Generous reimbursement program to maximize your WFH setup
  • Deskpass: Work in an office environment whenever you feel the need
  • Mental Health Provider: Connect with clinicians when you need it
  • Learning & Development: Self-education allowance & free career coaching
  • Employee Assistance Program “EAP”: Lifestyle resources available as well as additional mental health resources
  • Fertility Provider: Family planning solutions for those interested
  • Personal Legal Support: Significant discounts with RocketLawyer- Expert SQL and Python skills
  • Strong understanding of experimentation, statistical analysis, and ML evaluation
  • Experience with Databricks, Spark, AWS Sagemaker, or similar platforms
  • Strong experience developing and evaluating production ML models
  • 5+ years of experience in machine learning, data science, fraud analytics, or product analytics
  • MS/PhD (or equivalent experience) in Computer Science, Statistics, Data Science, or a related field
  • Experience with computer vision, deep learning, or transformer-based models
  • Experience designing and analyzing A/B tests, online experiments, and statistical evaluations of product or machine learning performance
  • Experience defining product KPIs and building dashboards to monitor product performance, customer behavior, and operational metrics

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