Principal Data Architect (Data Science)

Description: Design and build data ingestion pipelines for feature engineering and machine learning. Create predictive features using healthcare data, statistics, and data science. Conduct exploratory data analysis to identify patterns and trends. Develop, tune, and optimize predictive models using statistical and machine learning methods. Document work and communicate insights to technical and non-technical audiences. Collaborate with stakeholders to deliver data products. Requirements: 6+ years of experience in data science and machine learning. Expert-level proficiency in SQL and Python. Experience with structured and unstructured data types. Familiarity with relational (SQL) and non-relational (NoSQL) databases. Knowledge of ETL and data processing tools like Apache Spark. Experience with data visualization and monitoring tools. Understanding of modern software practices, including CI/CD and automated testing. Experience with Docker and cloud deployment (GCP or similar). Benefits: Competitive salary range: $180,000 - $240,000. Comprehensive health insurance and paid leave (vacation/PTO, holidays, sick leave, parental leave). 401(k) employer match and employee referral bonuses. Commitment to diversity, equity, and inclusion in the workplace.