Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us in making healthcare work better for everyone through people-led, responsible AI while Caring. Connecting. Growing together.
As a Principal Data Scientist, you will lead the design and execution of advanced analytics, predictive modeling, and machine learning solutions to solve complex challenges. You will collaborate closely with product leaders, business partners, and engineering teams to transform vast datasets into actionable intelligence. This role offers the opportunity to drive innovative data strategies and establish best practices that shape the future of healthcare data science.
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:
- Lead the design, development, and deployment of end-to-end data science and machine learning models to solve strategic business problems
- Partner with business stakeholders and technical leadership to translate business priorities into data science roadmaps and quantitative solutions
- Extract, clean, and analyze complex multi-dimensional healthcare datasets to deliver actionable insights and predictive capabilities
- Establish technical standards, best practices, and repeatable frameworks for statistical modeling, machine learning, and data analytics
- Evaluate emerging technologies, algorithms, and methodologies to continuously enhance solution efficiency and performance
- Provide technical mentorship and guidance to data science team members, fostering a culture of technical excellence and continuous learning
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:
- 8+ years of professional experience developing data science, machine learning, and advanced statistical models
- 5+ years of experience programming in Python, R, or Scala for analytical solution development
- 4+ years of experience writing complex SQL queries and extracting data from relational or enterprise databases
- 3+ years of experience deploying machine learning models into production environments (MLOps)
- Demonstrated experience communicating technical concepts and analytical findings to non-technical stakeholders and business leaders
Preferred Qualifications:
- Master's or Ph.D. degree in Data Science, Computer Science, Statistics, Applied Mathematics, or a related quantitative field
- Experience working with healthcare datasets (e.g., medical claims, electronic health records, clinical data)
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and enterprise big data frameworks (e.g., Spark, Databricks)
- Deep learning framework experience (e.g., TensorFlow, PyTorch)
*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 $112,700 - $193,200 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 help make the health system work better for everyone. Together, we are shaping the future of healthcare by harnessing technology and innovation to make care simpler to navigate, more affordable and more connected for the people we serve. We are committed to creating an inclusive workplace where everyone feels welcomed, valued, heard and respected, empowering people to bring their authentic selves to work and strengthening our collective impact through diverse talents, backgrounds, experiences and perspectives.
UnitedHealth Group and its affiliated brands are 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 and its affiliated brands are a drug-free workplace. Candidates are required to pass a drug test before beginning employment.
Skills Required
- 8+ years of professional experience developing data science, machine learning, and advanced statistical models
- 5+ years of experience programming in Python, R, or Scala for analytical solution development
- 4+ years of experience writing complex SQL queries and extracting data from relational or enterprise databases
- 3+ years of experience deploying machine learning models into production environments using MLOps
- Experience communicating technical concepts and analytical findings to non-technical stakeholders and business leaders
- Master's or Ph.D. degree in Data Science, Computer Science, Statistics, Applied Mathematics, or a related quantitative field
- Experience working with healthcare datasets, such as medical claims, electronic health records, or clinical data
- Experience with cloud platforms such as AWS, Azure, or GCP and enterprise big data frameworks such as Spark or Databricks
- Experience with deep learning frameworks such as TensorFlow or PyTorch
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.