Data Scientist 5 – Member Product
Netflix
Python
Senior Analyst/Data Scientist
Risant Health
full-time
Posted on:
Location Type: Remote
Location: Remote • District of Columbia, Washington • 🇺🇸 United States
Visit company websiteJob Level
Senior
Tech Stack
AzureCloud
About the role
- The Senior Analyst / Data Scientist plays a vital role in translating complex data into actionable insights that drive value-based care and measurable results.
- This role bridges analytics, product, operations and informatics - leveraging modern data platforms, agile tools, and AI-driven methods to deliver insights that improve affordability, outcomes, and performance across Risant Health’s community-based systems.
- The analyst applies statistical and economic methods to monitor key trends, routinely surface performance improvement opportunities, evaluate programs and products, quantify impact, and support embedded analytics for clinical users and informatics teams.
- You’ll apply your knowledge of healthcare data, modern data science techniques, and value based care to translate insight into measurable value.
- This role blends rigorous quantitative analysis with agile, AI-driven methods to accelerate time to impact, guiding reinvestment in what works and advancing value-based care across the Risant Health enterprise.
Requirements
- Bachelor's degree required in Data Science, Health Economics, Computer Science, Biostatistics, or a related quantitative or healthcare analytics field
- Master’s degree preferred (e.g., MPH, MS in Data Science, Health Informatics, or Applied Analytics)
- Minimum of five (5) years of experience in healthcare analytics, health economics, or program evaluation, ideally within a payer, provider, or value-based care organization
- Demonstrated experience using claims, administrative, and unstructured data sources to evaluate program performance, cost of care, and ROI
- Experience developing in cloud-based data ecosystems and analytics pipelines (Azure Synapse, Databricks, Delta Lake) integrating claims, clinical, and unstructured data sources
- Ability to create clear, high-impact visual summaries in modern visualization tools (e.g., Power BI)
- Understanding of key healthcare payment models and metrics (TCOC, attribution, risk adjustment, utilization)
- Familiarity with agile analytic delivery methods (sprints, backlog management, iterative delivery)
- Familiarity with AI-augmented analytics tools (predictive modeling, generative summarization, automated segmentation) and the ability to apply them to real-world business use cases
Benefits
- wellness programs
- retirement savings
- relocation support as applicable
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data analysisstatistical methodseconomic methodshealthcare analyticsprogram evaluationcloud-based data ecosystemsanalytics pipelinespredictive modelinggenerative summarizationautomated segmentation
Soft skills
communicationcollaborationproblem-solvingcritical thinkingvisualization
Certifications
Bachelor's degreeMaster’s degree
