Senior Data Scientist - Big Data R&D, Identity Graph & KYC

Tech Stack

Responsibilities

• Own the design, development, and evaluation of machine learning, statistical, and graph-based algorithms for entity-resolution, identity trust scoring, and anomaly detection on massive datasets.
• Architect and optimize graph-based identity representations to improve match rates, reduce false positives/negatives, and support downstream fraud and KYC models.
• Build and maintain scalable data pipelines and feature stores in Spark/PySpark (or Scala), including data normalization, deduplication, and feature computation across large PII datasets in AWS/Databricks environments.
• Lead A/B tests and offline/online experimentation for new models, features, and data sources; define success metrics, design experiments, and ensure rigorous validation before rollout.
• Partner closely with product managers and engineers to translate ambiguous business and regulatory requirements into concrete modeling and data roadmaps.

Culture

Requirements