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

What you'll do

• Develop and refine machine-learning, statistical, and graph algorithms for identity matching and anomaly detection.
• Build and maintain data-processing pipelines and support feature engineering, data exploration, and model evaluation.
• Evaluate data sources and communicate findings to product, engineering, and compliance partners.

What they ask for

• Master’s degree with 2+ years of experience, or Ph.D. with 1+ years of experience in data science or analytics, or equivalent practical experience.
• Proficiency in Python or Scala and experience writing and optimizing SQL for large datasets.
• Hands-on experience with Spark or PySpark and common ML libraries.
• Working knowledge of supervised and unsupervised machine learning and basic statistics.

Nice to have

• Familiarity with UNIX and AWS; Databricks experience is a plus.
• Exposure to graph techniques or graph databases; Elasticsearch, DynamoDB, or Airflow experience is a bonus.

Pay

$140K – $170K (base salary)

Tools

Python, Scala, SQL, Spark, PySpark, scikit-learn, AWS, Databricks

AI focus

Applies machine learning, data mining, statistical, and graph-based methods to identity resolution, identity verification, anomaly detection, and fraud products.