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.

The Optum Technology Digital team is on a mission to disrupt the healthcare industry, transforming UHG into an industry-leading Consumer brand. We deliver hyper-personalized digital solutions that empower direct-to-consumer, digital-first experiences, educating, guiding, and empowering consumers to access the right care at the right time. Our mission is to revolutionize healthcare for patients and providers by delivering cutting-edge, personalized and conversational digital solutions. We’re Consumer Obsessed, ensuring they receive exceptional support throughout their healthcare journeys. As we drive this transformation, we're revolutionizing customer interactions with the healthcare system, leveraging AI, cloud computing, and other disruptive technologies to tackle complex challenges. Serving UnitedHealth Group's digital technology needs, the Consumer Engineering team impacts millions of lives through UnitedHealthcare & Optum.
 

We are seeking a dynamic individual who embodies modern engineering culture - someone with deep engineering expertise within a digital product model, a passion for innovation, and a relentless drive to enhance the consumer experience. Our ideal candidate thrives in an agile, fast-paced rapid-prototyping environment, embraces DevOps and continuous integration/continuous deployment (CI/CD) practices, and champions the Voice of the Customer. If you are driven by the pursuit of excellence, eager to innovate, and excited to make a tangible impact within a team that embraces modern technologies and consumer-centric strategies, while prioritizing robust cyber-security protocols, we invite you to explore this exciting opportunity with us. Join our team and be at the forefront of shaping the future of healthcare, where your unique skills will not only be recognized but celebrated.

Primary Responsibilities:

• Lead a team of data scientists, providing mentorship, guidance, and technical expertise
• Interact with business stakeholders to understand their AI/ML requirements and translate them into actionable projects
• Collaborate with cross-functional teams to define project goals, scope, and deliverables
• Utilize your expertise in Python, pandas, numpy, and SQL to develop AI/ML solutions
• In-depth understanding & extensive experiencing with Transformers, RAG, Vector DB and Large Language Models
• Apply frameworks such as Scikit Learn, TensorFlow, and PyTorch to build and deploy models
• Conduct exploratory data analysis (EDA), statistical analysis, and feature engineering to derive insights
• Build, tune, and evaluate machine learning models for predictive and prescriptive analytics
• Perform drift analysis and ensure the responsible use of AI/ML by considering bias and fairness testing
• Oversee the full life cycle of AI/ML projects, including data preparation, model development, tuning, and deployment
• Ensure the scalability, reliability, and efficiency of AI/ML solutions in production environments
• Stay updated with the latest advancements in AI/ML techniques and tools, and identify opportunities to apply them to enhance existing solutions
• Document and communicate findings, methodologies, and insights to technical and non-technical stakeholders
• 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 or Master's degree in Computer Science, Data Science, Statistics, or a related field
• 4+ years of experience in Data Science, AI/ML, or a similar role
• Experience in leading a team of data scientists
• Solid programming skills in Python, with experience in pandas, numpy, and SQL
• Proficiency in frameworks such as Scikit Learn, TensorFlow, and PyTorch
• Solid understanding of mathematical and statistical concepts
• Hands-on experience in delivering production-grade AI/ML projects
• Knowledge of the full life cycle of AI/ML projects, including EDA, model development, tuning, and drift analysis
• Understanding of bias/fairness testing and responsible use of AI/ML
• Proven excellent leadership, problem-solving, and analytical thinking skills
• Solid communication and collaboration skills to work effectively with business stakeholders and cross-functional teams

Preferred Qualifications:

• Experience with Big Data technologies (PySpark, Hadoop) and data streaming tools (Kafka, etc.)
• Familiarity with the US Healthcare domain

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.