Senior Data Scientist, Data Ingestion & Care Enablement
This role analyzes large healthcare datasets, designs scalable data models and pipelines, and develops analytics that support oncology care operations. It requires expertise in healthcare data, SQL-based transformations, claims analytics, and strong collaboration with technical and business stakeholders.
167k – 185k/yr
Remote5+ YOEData Science
About the role
Responsibilities
Understand, ingest, and accurately model healthcare data for new and existing customers.
Support updates and fixes throughout customer relationships.
Develop attributes and flags from existing data to drive action by care teams.
Build visualizations to report on impact.
Improve data models and pipelines using SQL and dbt.
Collaborate with data scientists, data engineers, and analysts to build scalable data models and pipelines.
Transform eligibility, medical and pharmacy claims, prior authorization, and ADT data into standard data models.
Identify data-quality issues and propose enhancements to standard data models.
Translate business requirements into technical plans for data models, pipelines, and analytics.
Build relationships with data teams at insurers, ACOs, PCPs, and other risk-bearing entities.
Ensure internal customers have fast, accurate, and reliable access to data.
Requirements
Expertise working with large healthcare datasets, including eligibility, medical and pharmacy claims, prior authorization, and ADT data.
Experience designing data models for operations and analytics.
Experience building SQL data transformations.
Experience working with large datasets as an Analytics Engineer, Data Scientist, or Data Engineer.
Proficiency in data modeling, data transformation, and claims analytics.
Working knowledge of Python.
Strong communication skills with technical and non-technical stakeholders.
Experience working in scaling organizations, fast-paced environments, or ambitious startups.
Ability to navigate ambiguity and find solutions.
Nice-to-haves
Experience in a healthcare-focused technology startup with mature data structures and pipelines.
Experience with dbt, or willingness to learn it quickly.
Experience with Looker or similar business intelligence tools for data analysis and visualization.
Compensation and Benefits
Base salary: $166,500–$185,000.
Total compensation also includes equity, benefits, and other opportunities.
The salary range may be lower or higher if the role is hired at another level.
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