# Data Scientist II - Big Data R&D, Identity Graph & Deceased Monitoring at Socure

- Company: Socure
- What the company does: Socure is the leading AI-powered identity verification platform trusted by 3,000+ customers to verify consumers, businesses, & employees with confidence. Backed by Accel.
- Company website: https://www.socure.com/
- Type: Startups
- Level: Mid level
- Location: Hybrid - San Francisco, CA
- Work setup: Remote
- Pay: $140K to $170K base salary per year (USD)
- Posted: 2026-09-02
- Apply by: 2026-10-17
- Apply: https://jobs.ashbyhq.com/socure/5ee37ea6-a36a-472c-90a9-73067f6d6dac
- Page: https://www.1752.vc/careers/jobs/socure-data-scientist-ii-big-data-r-and-d-identity-graph-and-deceased-monitoring/

## About the role

The Big Data R&D team is responsible for building the core identity graph and entity-resolution capabilities that power Socure’s Deceased Monitoring and compliance products. In this role, you will help develop graph-based algorithms and data pipelines on massive PII datasets, support modelers with high-quality features, and evaluate new data sources that feed our identity and fraud products.

## What they're looking for

- Master’s degree with 2+ years of experience, or Ph.D. with 1+ years of experience in a data science or analytics role, or equivalent practical experience
- Proficiency in at least one general-purpose programming language used in data science (Python, or Scala)
- Solid experience writing and optimizing SQL for large datasets, comfort working in data lake / warehouse environments
- Hands‑on experience with Spark or PySpark and common ML libraries (e.g., scikit‑learn, XGBoost, TensorFlow/PyTorch a plus)
- Familiarity with UNIX environments and the AWS ecosystem (e.g., EMR, S3), Databricks experience is a plus
- Working knowledge of supervised/unsupervised ML and basic statistics (similarity measures, clustering, evaluation metrics)

Tags: AI and Data