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Senior Data Scientist-QA & Infrastructure
| Company | Homeward Health |
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| Location | San Mateo, CA, USA |
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| Salary | $140000 – $190000 |
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| Type | Full-Time |
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| Degrees | |
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| Experience Level | Senior |
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Requirements
- 5+ years of hands-on health care analytics, actuarial, or data science experience
- Strong technical skills necessary to perform advanced analytics: coding (e.g., R, Python, Scala), experience with data management (DBT) and visualization tools (e.g., SQL, Tableau, Looker, Metabase, open source platforms), and experience performing machine-learned analysis with large datasets
- Deep experience with clinical and/or claims data, especially Medicare data
- Experience building scalable code that follows engineering best practices
- A collaborative approach to working with stakeholders to help define the question, shape the analysis plan, and deliver and interpret results or models
- Ability to dive deep into details and zoom out to see the big picture
- Previous experience developing risk stratification models with a variety of healthcare data sources
- Creative problem solving, curiosity and the drive to learn new methods
Responsibilities
- Deliver analytic and data science products – from business intelligence to analytics to predictive modeling – within the health care data domain (e.g., clinical outcomes, clinical quality, cost of care)
- Build automated tools to map, validate, and synthesize large data and deliver actionable insights for a variety of stakeholders
- Develop robust packages and pipelines at scale to QA data quickly and deliver early warning insights
- Develop risk stratification models using EHR, claims, RA, actuarial experience, and a variety of other data sources to match our members with the appropriate care pathways
- Conduct opportunity assessments for reducing total cost of care or improving code capture as we work in new geographies and with new clients and partners
- Evaluate the effectiveness of service delivery for different population segments relative to clinical and cost outcomes
- Partner with our data engineering team to build a healthcare data infrastructure that supports high-impact analytics
Preferred Qualifications
- Experience with value-based care analytics and data science
- Experience with the TUVA Project
- Experience working on a small, fast-paced team
- Strong foundation in probability & statistics, demonstrated expertise with ML tools, SQL, Python, and statistical & ML packages
- Experience empowering teammates’ work via mentorship, coaching, synchronous & asynchronous code review, and leading by empathy and example
