The role of Analyst – Data Scientist is an individual contributor position that requires a strong background in data engineering, analytics, and machine learning. The successful candidate will work with cross-functional teams to build, develop, and deploy advanced AI and machine learning models using diverse healthcare datasets. The position involves designing, building, and maintaining robust ETL/ELT pipelines, integrating diverse sources, and implementing data quality, lineage, and governance.
Requirements
- Platform & Pipeline Ownership: Design, build, and maintain robust ETL/ELT pipelines across Snowflake, Redshift, S3, and AWS services
- Data Integration & Quality: Ingest and harmonize internal and external data, including EHR, administrative claims, and laboratory data
- Data Modeling & Performance: Engineer curated data models and feature-ready datasets and marts
- Automation & DevOps: Apply scheduling, monitoring, alerting, and process improvements
- Architecture, Security & Governance: Contribute to cloud architecture decisions, data cataloging, access controls, and governance standards
- BAU & Support: Provide operational support for data solutions, manage tickets and incident response, and drive continuous improvement across pipelines and platform processes
Benefits
- Generous Paid Time Off
- 401k Matching
- Retirement Plan
- Visa Sponsorship
- Four Day Work Week
- Generous Parental Leave
- Tuition Reimbursement
- Relocation Assistance
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