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

📋 Description

• Build graph-based algorithms and data pipelines for identity graph and KYC.
• Analyze large datasets for entity resolution and anomaly detection.
• Develop ETL pipelines using Spark/PySpark and AWS (EMR, S3).
• Support feature engineering and A/B testing with senior data scientists.
• Evaluate new data sources and their impact on coverage and model performance.
• Collaborate with Product, Engineering, and Compliance teams.

🎯 Requirements

• Master’s degree with 2+ years or PhD with 1+ years in data science/analytics.
• Python or Scala programming.
• Strong SQL for large datasets; data lake/warehouse experience.
• Hands-on Spark or PySpark and ML libraries (scikit-learn, XGBoost, etc.).
• UNIX environments and AWS (EMR, S3); graph tech like Neo4j, GraphFrames a plus.
• Bonus: Elasticsearch or DynamoDB; Airflow for data pipelines.