Job Description

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.
Positions in this function produce innovative solutions driven by exploratory data analysis from unstructured, diverse datasets typically measured in gigabytes or larger. Applies knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement. Uses a flexible, analytical approach to design, develop, and evaluate predictive and prescriptive models and advanced algorithms that lead to optimal value extraction from the data. Works with analytics and statistical software such as SQL, R, Python, Hadoop and others to perform analysis and interpret data. This function is not intended for employees performing the following work: less complex analysis on small data sets; rules-based algorithmic or descriptive analytics; development of big data infrastructure. Generally work is self-directed and not prescribed.
Primary Responsibilities:

• Apply advanced statistical techniques, data science methodologies, and AI practices, including generative AI using GPT models
• Design, develop, and implement cutting-edge generative AI models and systems
• Perform data mining, cleaning, and aggregation to prepare datasets for analysis
• Manage and query data while ensuring high standards of data quality and integrity
• Communicate complex insights through compelling data storytelling and visualizations using Power BI
• Leverage ML Ops practices to deploy and manage machine learning models in production environments
• Collaborate in an agile team setting, actively participating in sprint planning, reviews, and retrospectives
• Adhere to company policies, employment terms, and evolving business directives, including flexibility in work location, team assignments, and work arrangements
• Works with less structured, more complex issues
• Serves as a resource to others
• 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

Eligibility
To apply to an internal job, employees must meet the following criteria:

• SG 26 & SG 27 can apply

• SG 26 will move to SG 27
• SG 27 will move laterally
• Performance rating in the last common review cycle of "Meets Expectations" or higher
• Not be on any active CAP (Corrective Action Plan) or active disciplinary action
• Time in Role Guidelines

• Should have been in your current position for a minimum of 12 months, if you have not met the recommended minimum time in role, discuss your career interest with your manager and gain alignment prior to applying. And share the alignment email with respective recruiter while applying

Required Qualifications:

• 5+ years of experience in data science with a strong foundation in machine learning, statistics, and data science methodologies
• 1+ years of hands-on experience applying AI to real-world technology solutions
• Experience fine-tuning LLM hyperparameters and optimizing model configurations for performance and client impact
• Hands-on experience with ML Ops and deploying models in production
• Familiarity with embeddings and other advanced data science techniques
• Proficiency in Python, TensorFlow, NLP, and deep learning frameworks
• Demonstrated ability to collaborate with cross-functional teams to prototype, build, test, and scale GenAI/LLM-powered solutions
• Solid background in REST API development, NoSQL and RDBMS design, and performance optimization
• Proficiency in cloud platforms such as GCP, Microsoft Fabric, Azure Stack, and Azure ML
• Proven expertise in generative AI and GPT-based model development
• Proven advanced skills in data storytelling and visualization using Power BI
• Proven excellent communication and collaboration skills, especially with non-technical stakeholders
• Proven agile mindset with a proven ability to contribute effectively in agile teams

Preferred Qualifications:

• Master's degree in Data Science, Statistics, Computer Science, or a related field
• Experience working with healthcare data and a solid understanding of the healthcare industry

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.