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

📋 Description Contribute to the design and implementation of machine learning, data mining, statistical, and Analyze large datasets to help develop and refine entity-resolution and identity-matching Build and maintain components of data-processing pipelines (ETL, feature generation, normalization) Support senior data scientists with feature engineering, data exploration, error analysis, and A/B Help evaluate new third-party and internal data sources: profile data quality, design offline Implement and maintain SQL and Python/R code for data extraction, transformation, and validation 🎯 Requirements Master’s degree with 2+ years of experience, or Ph.D. with 1+ years of experience in a data science Proficiency in at least one general-purpose programming language used in data science (Python, or Solid experience writing and optimizing SQL for large datasets; comfort working in data lake / Hands-on experience with Spark or PySpark and common ML libraries (e.g., scikit-learn, XGBoost Familiarity with UNIX environments and the AWS ecosystem (e.g., EMR, S3); Databricks experience is Working knowledge of supervised/unsupervised ML and basic statistics (similarity measures