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 diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together.
This position is responsible for end to end model development for our clients in life sciences, state government, provider, and payer services. We are investing significantly in new capabilities to design, develop and deliver better solutions for these constituents. We are seeking people with proven experience conceptualizing, defining and delivering solutions that enable data science teams to build and scale Machine Learning and Artificial Intelligence models that will power these solutions.
Primary Responsibilities:
Work alongside other data scientists, engineers, and project managers to design and implement models and experiments from end to end, including data ingestion and preparation, feature engineering, analysis and modeling, model deployment, performance tracking and documentation
Improve and extend the analytic methods in our products
Conduct hands-on data analysis and predictive analytics on large datasets
Effectively communicate complex technical results to business partners
Support and drive analytic efforts around machine learning and innovation
Work with a great deal of autonomy to find solutions to complex problems
Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
Required Qualifications:
Bachelor’s Degree or higher in Applied Mathematics, Physics, Computer Science, Statistics or related technical field
2+ years of hands-on experience in in developing with machine learning, deep learning and/or NLP(w M/L) (Can be business/corporate experience and/or academic)
Experience applying computational algorithms and statistical methods to structured and unstructured data
Experience breaking down and clearly defining problems
Experience communicating highly technical results to a diverse audience
Solid proficiency in advanced data science tools such as Python, Spark, SQL
Demonstrated comfort working as part of a team, as opposed to solo projects
Telecommute is available BUT preference given to Eden Prairie/Minneapolis/MN or Boston, MA or willing to relocate to these two locations
Preferred Qualifications:
Experience with deploying ML models in Azure, AWS, and/or Google Cloud
Experience with agile product development
Expertise in healthcare data, e.g. medical and pharmacy claims, EMR/clinical data, lab data, etc.
Careers with Optum. Our objective is to make health care simpler and more effective for everyone. With our hands at work across all aspects of health, you can play a role in creating a healthier world, one insight, one connection and one person at a time. We bring together some of the greatest minds and ideas to take health care to its fullest potential, promoting health equity and accessibility. Work with diverse, engaged and high-performing teams to help solve important challenges.
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.
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