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: fintech
Size: medium
Socure is building the identity trust infrastructure for the digital economy, verifying identities in real time and stopping fraud. They hire critical thinkers who act like owners and are driven to solve complex customer problems.
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