Telecommute Data Librarian Jobs (NOW HIRING)

Job Summary:
UnitedHealthcare is focused on simplifying the health care experience and creating healthier communities. The Sr. Principal Data Scientist is responsible for developing advanced analytics and predictive models that influence strategic business decisions, partnering with various teams to solve complex problems and drive measurable value.
Responsibilities:
• Design, develop, and deploy predictive and prescriptive models to support business and clinical initiatives
• Apply machine learning, statistical analysis, and optimization techniques to large, complex datasets
• Build and validate models for use cases such as risk stratification, utilization forecasting, intervention targeting, and cost containment
• Ensure model performance, scalability, and ongoing monitoring
• Guide analytics teams in applying machine learning, statistical modeling, and simulation techniques (e.g., regression, classification, clustering, ensemble methods) to large, multi-source datasets
• Apply best practices in causal inference, AI/ML, quasi-experimental methods, and forecasting to support strategy decisions and benefit realization
• Create and/or complete needed documentation to define project parameters and specifications, process flow and other business documentation including, but not limited to: business/functional/report/analytics requirements, workflows, job aids, and reference materials
• Apply analytical, mathematical and statistical techniques to investigating and interpreting data results
• Works with less structured, more complex issues, and comfortable with ambiguity
• Translate ambiguous business problems into structured analytical frameworks
• Deliver actionable insights that inform product development, population health strategies, and client-specific solutions
• Support cost-of-care initiatives, cross product benefits, and engagement strategies through analytics
• Partner with operations, product managers, consultants, and reporting teams to align analytics with business needs
• Communicate findings clearly to both technical and non-technical stakeholders, including executive leadership
• Serve as a thought partner in client discussions, RFPs, and strategic initiatives
• Partner with data engineering teams to define data requirements, pipelines, and data quality standards
• Ensure reproducibility, traceability, and governance of analytical outputs
• Work with claims, clinical, and engagement data sources to enable integrated analytics
• Identify opportunities to leverage emerging technologies (AI/ML, generative AI, advanced analytics platforms)
• Drive enhancements in modeling approaches, tools, and analytical methodologies
• Contribute to the development of reusable analytics assets and frameworks
• Works on high-priority, enterprise-level initiatives
• Influences product strategy, clinical outcomes, and client retention
• Supports revenue growth, cost savings, and performance guarantees
• Acts as a technical leader and mentor to junior analysts/data scientists (informal leadership)
Qualifications:
Required:
• Bachelor's degree in MIS, Statistics, Mathematics, Computer Science
• 6+ years of experience performing complex data analysis, report development, querying high volume data, and interpreting results
• 6+ years proficiency in SQL, and data visualization tools (e.g., Tableau, Power BI)
• 6+ years experience working with large, complex datasets (healthcare data preferred: claims, clinical, or population health datasets)
• 2+ years of experience in creating relevant databases (tables/fields/libraries) needed to source appropriate data
• 2+ years of experience building and executing data pulls using SQL and / or other BI reporting tools
• 1+ years of experience with documenting processes and practices, often in accepted project methodology artifacts
Preferred:
• Master's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or related field
• 4+ years exposure to cloud-based data platforms (Azure, AWS, GCP)
• 3+ years experience with real-time or near-time analytics
• 2+ years experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch)
• 2+ years experience in Python
• Healthcare industry experience, particularly in population health, care management, product value sales story development and/or payer environments
• All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy
Company:
UnitedHealthcare helps people live healthier lives by simplifying the health care experience. Founded in 1977, the company is headquartered in Minnetonka, USA, with a team of 10001+ employees. The company is currently Late Stage.