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Senior Data Scientist - Optum COVE

Optum
401(k)
United States, Minnesota, Eden Prairie
11000 Optum Circle (Show on map)
Apr 15, 2026

Optum 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.

Optum COVE is a fastadvancing enterprise capability designed to predict, identify, and resolve the moments that matter most in the consumer experience. By blending AIpowered sensing tools, realtime monitoring, and enterprisewide performance insights, the team surfaces abrasion signals early and drives rapid action to remove friction for our consumers. Working closely with partners across Operations, Tech, Product, and the Consumer Office, COVE coordinates an integrated response that ensures issues are addressed swiftly and consistently. Joining COVE means shaping a future where proactive, datadriven experience management becomes a competitive advantage for Optum.

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:

  • Responsible for accelerating our ability to build and leverage AI/ML to deploy predictive models and analytics beyond our current capabilities
  • Support our ability to uncover insights within our data that are not currently available and allow identifying targeted member populations who may require more detailed social need support
  • Partner with other AI/ML resources across the company and lead initiatives within the team related to AI/ML

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:

  • 5+ years of experience using statistical computer languages (Python, SAS, etc.) to manipulate data and draw insights from large data sets
  • 5+ years of experience using a variety of data analysis methods/data mining, data tools (SQL required), building and implementing predictive models, using/creating algorithms and creating / running simulations
  • 5+ years of experience with a variety of artificial intelligence and machine learning techniques (clustering, decision tree learning, etc.) and their real-world advantages / drawbacks
  • 5+ years of experience working independently and creatively solving problems where statistical modeling techniques can be applied
  • Model Implementation and Deployment - Python and Gen AI experience
  • Experience with Generative AI and cloud platforms (Azure, AWS, etc.)
  • Experience with real/near real time analytics
  • Experience with anomaly detection
  • End to End Development - feature engineering, training, deployment, maintenance, and monitoring
  • Data preprocessing including combining datasets across multiple domains like calls to claims
  • Performance and cost optimization of models
  • Research and Innovation - someone who is not only technically skilled but can use business context to drive innovation
  • Collaboration - can work with other technical folks and is able to explain outcomes/challenges to people from the business

Preferred Qualifications:

  • Healthcare data experience
  • Ability to mentors and train other team members on Artificial Intelligence and Machine Learning
  • Proven excellent communication, writing and presentation skills
  • Python proficient

*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 $91,700 to $163,700 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.

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