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SocureSocureSan Francisco, CA

Senior Data Scientist - Document Verification

Develops and evaluates production machine learning models for document verification, fraud detection, and biometric applications. The role requires 5+ years of experience, expert Python and SQL skills, and an advanced degree or equivalent experience.

191k – 230k/yr
On-site5+ YOEData Science

About the role

Responsibilities

Machine Learning & Model Development

  • Design, develop, and improve machine learning 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.

Analytics & Model Evaluation

  • 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.

Tooling & Automation

  • 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.

Cross-functional Collaboration

  • 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.

Requirements

  • MS/PhD, or equivalent experience, in Computer Science, Statistics, Data Science, or a related field.
  • 5+ years of experience in machine learning, data science, fraud analytics, or product analytics.
  • Strong experience developing and evaluating production machine learning models.
  • Expert SQL and Python skills.
  • Experience with Databricks, Spark, AWS SageMaker, or similar platforms.
  • Strong understanding of experimentation, statistical analysis, and machine learning evaluation.

Nice-to-haves

  • 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.

Skills

PythonSQLMachine LearningFraud DetectionData ScienceDatabricksSparkaws sagemakerComputer VisionDeep Learningtransformer modelsA/B TestingStatistical Analysisdashboard developmentProduct Analytics

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