AI/ML Engineer - Remote

About The Company
Optum, a subsidiary of UnitedHealth Group, is a global leader dedicated to transforming healthcare through innovative use of technology and data-driven solutions. Our organization strives to improve health outcomes by connecting individuals with essential care, pharmacy benefits, data, and resources necessary for a healthier life. We foster a culture rooted in inclusion, collaboration, and continuous growth, offering comprehensive benefits and career development opportunities. As part of our mission, we aim to make a meaningful impact on communities worldwide by advancing health optimization on a global scale.
About The Role
We are seeking a highly skilled Data Scientist to join our Optum AI Team. In this role, you will lead the development and maintenance of advanced AI/ML models focused on disease progression and patient engagement programs. Your work will directly influence healthcare delivery by creating innovative solutions that enhance patient outcomes and streamline healthcare processes. You will collaborate with cross-functional teams, including business partners and technical architects, to design scalable, high-quality models aligned with enterprise standards. This position offers the opportunity to work remotely within the U.S., with some in-office requirements for candidates in Minneapolis or Washington, D.C.
Qualifications

• MS degree in Computer Science, Data Science, or a related field
• 7+ years of experience in data science, machine learning, or related roles
• Proficiency in programming languages such as Python and SQL
• Experience with cloud-based platforms including Databricks and Azure AI Services
• Strong understanding of statistical techniques and data analysis
• Excellent problem-solving skills with a focus on model development and engineering
• Outstanding written and verbal communication skills

Preferred Qualifications

• Ph.D. in Computer Science or related field
• 10+ years of extensive data science experience
• Deep knowledge of advanced machine learning techniques such as clustering, decision trees, neural networks, graph ML, OCR, and sentiment analysis
• Experience with developing and deploying scalable AI/ML solutions in healthcare
• Proven ability to collaborate with academic and industry experts, including publishing research or filing patents

Responsibilities

• Lead the conceptualization, design, development, and maintenance of AI/ML models for disease progression and patient engagement initiatives
• Engage with business partners to understand project requirements and develop tailored solutions
• Review and critique AI/ML model ideas, engineering designs, and suggest innovative approaches
• Develop and refine the Data Science and Engineering roadmap aligned with organizational goals
• Ensure high standards of quality, timeliness, and scalability in project execution
• Collaborate with global teams to ensure seamless project delivery across different locations
• Recommend technical patterns and solutions consistent with architectural standards and best practices
• Work closely with Product and Capability Architects to align technical solutions with enterprise architecture
• Manage technical debt and promote continuous improvement in processes and solutions

Benefits

• Comprehensive health, dental, and vision insurance plans
• 401(k) retirement plan with company contributions
• Equity stock purchase programs
• Incentive and recognition programs
• Flexible work arrangements and remote work opportunities
• Career development and continuous learning support
• Paid time off and wellness programs

Equal Opportunity
UnitedHealth Group is an Equal Employment Opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, gender, sexual orientation, gender identity, disability, veteran status, or any other characteristic protected by applicable law. We adhere to all relevant laws and regulations and are dedicated to fostering a workplace that reflects the diverse communities we serve. Candidates must pass a drug test prior to employment, as we are a drug-free workplace.