# Senior Data Scientist - Document Verification

**Company:** [Socure](https://hotfix.jobs/companies/socure)
**Location:** San Francisco, CA, Seattle, WA, New York, NY, Miami, FL
**Role:** Data Science
**Salary:** $191k – $230k/yr
**Experience:** 5+ years
**Skills:** Python, SQL, Machine Learning, Fraud Detection, Data Science, Databricks, Spark, aws sagemaker, Computer Vision, Deep Learning, transformer models, A/B Testing, Statistical Analysis, dashboard development, Product Analytics
**Posted:** 2026-08-10

> 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.

## Job Description

## 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.

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