Data Scientist

At Jukebox Health, our mission is to empower everyone to live safer, healthier, more independent lives at home. We partner with health plans to make homes safer and more accessible for older adults and high-needs populations. We achieve this by combining technology with networks of clinicians, suppliers, and installers to deliver personalized home modifications and environmental supports nationwide. Founded by experienced entrepreneurs, Jukebox Health is a fast growing healthcare services company backed by top venture capital firms like Valtruis and The Home Depot.

We're looking for a Data Scientist to join our team and help drive data-informed decision-making across our clinical operations and business strategy. You'll work closely with clinical ops, product, and business leaders to build analytics infrastructure, develop insights from healthcare data, and enable self-service reporting across the organization.

Key Responsibilities

• Work with clinical team to analyze populations for targeting and outcomes analysis, including risk stratification and efficacy modeling
• Partner with leaders to produce KPIs that improve organizational focus, including SLAs and performance metrics
• Own the core data architecture at Jukebox (LookML) to support self-service analytics for the team
• Build data export processes in alignment with partner specifications
• Develop and maintain ETL jobs and data pipelines using Snowflake
• Create analysis products that enable stakeholders to make data-driven decisions
• Collaborate cross-functionally to identify opportunities for data-driven improvements

Qualifications

Required

• 3+ years of experience in data science, analytics, or health informatics, with experience in a startup environment
• Strong SQL skills with experience in BigQuery, Snowflake, or equivalent data warehouse platforms
• Experience with Looker and developing LookML for self-service analytics
• Proficiency in Python and Jupyter notebooks for data analysis and modeling
• Experience working with healthcare data sets including claims and/or HIE data

Preferred

• Experience building ETL jobs and data cleaning pipelines
• Background in health informatics or population health analytics
• Experience with ML, risk stratification, and outcomes modeling in healthcare
• Familiarity with Medicaid, MLTSS, or managed care data environment