Principal Data Architect (Data Science)

📋 Description

• Data Ingestion: Design and build the pipelines that bring data in for feature engineering and
• Feature Engineering: Use your knowledge of healthcare data, statistics, and data science to create
• Feature Extraction and Selection: Use techniques like clustering, text analytics, and PCA to find
• Exploratory Data Analysis: Explore the data to find patterns, trends, and relationships, and use
• Model Development: Experiment with statistical and machine learning methods to build, tune, and
• Deployment: Ship production code that follows engineering best practices.

🎯 Requirements

• Experience: 6+ years working across data science and machine learning (for the Lead level).
• Core Languages: Expert-level SQL and Python.
• Data Types: Hands-on work with both structured and unstructured data, such as tables, text, images
• Databases: Experience with both relational (SQL) and non-relational (NoSQL) databases.
• Data Processing: Familiarity with ETL and data processing tools like Apache Spark.
• Visualization and Monitoring: Experience using tools to visualize data and monitor its health.

🎁 Benefits

• Comprehensive Health Insurance
• Paid Leave (Vacation/PTO)
• Paid Holidays
• Sick Leave
• Parental Leave
• Bereavement Leave