Data Scientist 2

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.**

The Enterprise Intelligence Suit (EIS) is seeking a Data Scientist 2 to support various Optum Insights data science projects. This position is responsible for end-to-end model development for our clients in provider and payer segments. We are investing significantly in new capabilities to design, develop and deliver better solutions for these clients. 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**:

- Take lead on data science projects 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
- Review the work of others and serve as a leader/mentor
- Subject matter expert for our clients
- 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 in Biostatistics, Mathematics, Economics, Computer Science, Theoretical Physics, Quantitative Social Sciences, Statistics, Information Systems, or relevant experience
- 3+ years of hands-on experience developing machine learning/deep learning models (Can be business/corporate experience and/or academic), Gen AI solutions
- 3+ years of experience working with healthcare 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
- Comfort working as part of a team and taking the lead, as opposed to solo projects
- Telecommute is available

**Preferred Qualifications**:

- Masters degree Biostatistics, Mathematics, Economics, Computer Science, Theoretical Physics, Quantitative Social Sciences, Statistics, Information Systems
- Experience leading data science projects
- Experience reviewing the work of others
- Experience with deploying ML models in Azure, AWS, and/or Google Cloud
- Experience with agile product development
- 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._