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Sr. Principal Data Scientist - RemoteUnitedHealth Group • Minnetonka, Minnesota, United States
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Sr. Principal Data Scientist - Remote

UnitedHealth Group
  • US
    Minnetonka, Minnesota, United States
  • US
    Minnetonka, Minnesota, United States
Jetzt Bewerben

Über

At UnitedHealthcare, we're simplifying the health care experience, creating healthier communities and removing barriers to quality care. The work you do here impacts the lives of millions of people for the better. Come build the health care system of tomorrow, making it more responsive, affordable and optimized. Ready to make a difference? Join us to start Caring. Connecting. Growing together. The Data Scientist is a senior-level individual contributor responsible for developing advanced analytics, predictive models, and data-driven insights that directly influence strategic business decisions. This role partners cross-functionally with clinical, product, operations, and client-facing teams to solve complex problems, optimize outcomes, and drive measurable value. The position requires deep expertise in statistical modeling, machine learning, and data engineering principles, along with the ability to translate complex analytics into actionable business strategies. You'll enjoy the flexibility to work remotely* from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. Primary Responsibilities: Advanced Analytics & Modeling:
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
Business & Strategic Impact:
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
Stakeholder Collaboration:
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
Data Engineering & Governance:
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
Innovation & Continuous Improvement:
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
Scope & Impact:
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)
Core Competencies:
Analytical Rigor: Ability to solve complex problems with structured, data-driven approaches Business Acumen: Strong understanding of how analytics drives financial and operational outcomes Communication: Ability to simplify and present complex concepts clearly and effectively Collaboration: Works effectively across cross-functional teams Ownership & Accountability: Drives work from concept to execution with minimal oversight Innovation Mindset: Continuously seeks opportunities to improve processes and outcome
You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications:
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 Qualifications:
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 Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $134,600 to $230,800 annually based on full-time employment. We comply with all minimum wage laws as applicable. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.
  • Minnetonka, Minnesota, United States

Sprachkenntnisse

  • English
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