Data Scientist II - Big Data R&D, Identity Graph & KYC
Posted
Tech Stack
Responsibilities
- Contribute to the design and implementation of machine learning, data mining, statistical, and graph-based algorithms for identity verification and anomaly detection.
- Analyze large datasets to help develop and refine entity-resolution and identity-matching algorithms that drive Socure’s KYC and compliance solutions.
- Build and maintain components of data-processing pipelines (ETL, feature generation, normalization) using tools such as Spark/PySpark and AWS (e.g., EMR, S3).
- Support senior data scientists with feature engineering, data exploration, error analysis, and A/B test setup for new models and signals.
- Help evaluate new third‑party and internal data sources: profile data quality, design offline experiments, and summarize impact on coverage and model performance.
Culture
Customer-ObsessedCross-Functional Teams
Requirements
Required: 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.
Regions: Us
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About Socure
Industry: saas
Size: medium
Socure is the leading provider of digital identity verification and fraud prevention solutions, using AI and machine learning to power accurate identity trust decisions.
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