Senior Data Engineering Analyst

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.  

Primary Responsibilities:

• Develop and implement end-to-end MLOps strategies to enhance solutions, including building, testing, and deploying machine learning and deep learning models
• Design, build, and maintain robust machine learning pipelines for production environments, ensuring seamless integration with operational processes
• Process and transform source data for machine learning pipelines, utilizing cloud computing platforms to enhance efficiency and scalability
• Collaborate with cross-functional teams to assess and apply AI technologies to address complex business problems, focusing on practical implementations and operationalization
• Communicate technical findings and insights to stakeholders and work closely to develop actionable solutions that meet customer needs
• Develop and maintain comprehensive code and model documentation, and support model governance and compliance approvals
• Adhere to best coding practices and standards in Python, including effective use of GitHub for version control and collaborative development
• Prepare and deliver presentations, including written reports and visual presentations, to communicate analysis results and recommendations to leadership
• 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:

•  Undergraduate degree or equivalent experience
• 4+ years of experience in machine learning and data science, with a focus on operationalizing models and managing MLOps workflows
• 2+ years of experience leading MLOps projects, demonstrating strong technical communication skills and technical leadership
• Experience with distributed machine learning model training using AzureML or similar platforms

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.