Overview
On Site
130k - 150k
Full Time
Skills
Advanced Analytics
Innovation
Network
Decision-making
Collaboration
Presentations
Documentation
Testing
Analytical Skill
Data Science
Statistics
Computer Science
Physics
Economics
Data Analysis
SQL
Machine Learning (ML)
Statistical Models
Data Visualization
Dashboard
Python
R
Distributed Computing
Big Data
Health Care
Job Details
We're seeking a Senior Data Scientist with a passion for turning complex data into actionable insights that shape the future of healthcare. In this role, you'll work at the intersection of advanced analytics, clinical strategy, and business innovation to develop predictive models and data products that directly inform network and provider decisions.
If you're looking to apply your technical expertise to real-world healthcare challenges and contribute to improved outcomes across access, affordability, and equity-this is the role for you. What You'll Be DoingProficient in at least 4 of the following 6 areas: Data analysis and SQL or similar query languages Machine learning and statistical modeling Data visualization (e.g., dashboards, charts, storytelling tools) High-level programming (e.g., Python, R, or similar) Distributed computing and big data tools Healthcare data knowledge and industry understanding Preferred Qualifications
If you're looking to apply your technical expertise to real-world healthcare challenges and contribute to improved outcomes across access, affordability, and equity-this is the role for you. What You'll Be Doing
- Analyze large and diverse healthcare datasets, including claims, provider, and operational data
- Design, develop, and deploy machine learning models and statistical analyses that support strategic decision-making
- Collaborate with stakeholders across technical and non-technical teams-business leaders, clinical experts, and executives-to guide model development and ensure adoption
- Translate analytical findings into clear, compelling narratives through visualizations, reports, and presentations
- Identify gaps, challenges, and opportunities across datasets and processes, and propose effective solutions
- Contribute to the documentation, testing, and ongoing improvement of analytical tools and models
- Bachelor's degree with 3+ years of experience in a quantitative field such as Data Science, Statistics, Computer Science, Engineering, Physics, or Economics
- OR Master's degree with 2+ years of experience
- OR PhD in a related discipline
- OR equivalent of 7+ years relevant experience without a formal degree
- Advanced degree (Master's or PhD) in a quantitative field
- Experience working with large-scale healthcare data (e.g., claims, provider networks)
- Familiarity with end-to-end model deployment in a production environment
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.