Principal Data Engineering – AI or ML

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:

• Lead AI or ML projects from conception to deployment, ensuring high-quality and scalable solutions
• Design and develop predictive and prescriptive models using advanced machine learning techniques
• Apply knowledge of statistics, programming, data modeling, and simulation to recognize patterns and identify opportunities
• Collaborate with engineers and other stakeholders to build statistical models and apply machine learning techniques for targeted solutions
• Conduct exploratory data analysis on unstructured, diverse datasets to drive innovative solutions
• Use analytics and statistical software such as SQL, R, Python, Hadoop, and others to perform analysis and interpret data
• Provide expertise in modeling and statistical approaches, including regression methods, decision trees, deep learning, NLP techniques, and uplift modeling
• Develop and evaluate predictive and prescriptive models and advanced algorithms to extract optimal value from data
• Communicate analysis and findings through interactive visualizations, documents, and presentations
• Mentor and guide junior data scientists, fostering a culture of continuous learning and improvement
• Stay updated with the latest advancements in AI/ML and data science, and apply them to improve existing solutions
• 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:

• Master’s or Bachelor’s degree in Computer Science, Statistics, Engineering, Mathematics, or a related field
• Proven experience in AI/ML projects, with hands-on experience in coding and deploying AI/ML solutions
• Experience to deploy and manage AI/ML applications preferable Azure or GCP
• Proficiency in statistical techniques, machine learning methods, and relevant technologies
• Proven solid programming skills in languages such as Python, R, SQL, and experience with big data tools like Hadoop
• Proven excellent analytical and problem-solving skills, with the ability to work with large amounts of data
• Proven effective communication skills, with the ability to present complex findings in a clear and concise manner
• Proven self-motivated, curious, and innovative, with a strong ability to work independently and as part of a team

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.