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