Sr. Principal Data Scientist - Remote

Posted Yesterday
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Hiring Remotely in Minnetonka, MN, USA
In-Office or Remote
135K-231K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
The Role
The Sr. Principal Data Scientist develops advanced analytics and predictive models, collaborating with various teams to influence strategic business decisions and optimize outcomes.
Summary Generated by Built In
Requisition Number: 2359277
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.

Skills Required

  • Bachelor's degree in MIS, Statistics, Mathematics, Computer Science
  • 6+ years of experience performing complex data analysis
  • 6+ years proficiency in SQL and data visualization tools
  • 6+ years working with large, complex datasets
  • 2+ years of experience in creating relevant databases
  • 2+ years of experience building and executing data pulls using SQL
  • 1+ years of experience with documenting processes

What the Team is Saying

Optum Compensation & Benefits Highlights

  • Healthcare Strength Health coverage offers multiple plan types with employer HSA contributions, in‑network preventive care at 100%, and included 24/7 virtual visits, alongside dental and vision options. This breadth allows predictable copay choices or tax‑advantaged HSA designs to fit different usage needs.
  • Retirement Support Retirement programs include a 401(k) with employer match eligibility and full vesting over time plus an Employee Stock Purchase Plan at a discount. Together these elements support long‑term savings and ownership.
  • Parental & Family Support Family supports include six weeks paid parental leave, paid caregiver leave, adoption assistance, and subsidized Bright Horizons back‑up care. Emotional well‑being resources like a premium Calm subscription and a 24/7 EAP complement these supports.

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The Company
HQ: Eden Prairie, MN
160,000 Employees
Year Founded: 2011

What We Do

Optum, part of the UnitedHealth Group family of businesses, is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. At Optum, we support your well-being with an understanding team, extensive benefits and rewarding opportunities. By joining us, you’ll have the resources to drive system transformation while we help you take care of your future. We recognize the power of connection to drive change, improve efficiency and make a difference in health care. Join a team where your skills and ideas can make an impact and where collaboration is key to creating technology that produces healthier outcomes.

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Optum Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Optum has three workplace models that balance the needs of the business and the responsibilities of each role. These models, core on‑site (5 days/week), hybrid (4 days/week) and telecommute or fully remote, vary by country, role and location.

Typical time on-site: Not Specified
HQEden Prairie, MN
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