Senior Data Scientist

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:

• Design, develop, and deploy machine learning models and advanced statistical analyses to solve business problems
• Build and maintain scalable data pipelines and feature engineering workflows for model development and product ionization
• Perform exploratory data analysis (EDA) to uncover trends, patterns, and insights
• Develop and optimize predictive and prescriptive analytics solutions
• Collaborate with business stakeholders to translate requirements into data science use cases and solutions
• Work with large, complex datasets across cloud platforms (e.g., Snowflake, Azure, AWS)
• Ensure model performance, scalability, and reliability through monitoring and continuous improvement
• Communicate findings effectively through visualizations, dashboards (Tableau/Power BI), and storytelling
• 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
• 6+ years of experience in Data Science / Advanced Analytics
• Experience with machine learning frameworks (Scikit-learn, TensorFlow, PyTorch)
• Hands-on experience with ETL processes and data engineering concepts
• Experience working with cloud-based data platforms and big data technologies
• Deep understanding of statistical modeling, predictive analytics, and AI techniques
• Solid proficiency in Python/R, SQL, and data manipulation libraries (Pandas, NumPy)
• Proven expertise in data visualization and storytelling using Tableau or Power BI
• Proven solid problem-solving skills with the ability to translate business problems into analytical solutions

Preferred Qualifications:

• Experience with MLOps, model deployment, and API integration
• Knowledge of NLP, deep learning, or optimization techniques
• Proven exposure to domain-specific analytics (e.g., healthcare)

Builder Responsibilities:
Design, develop, and deploy AI-powered solutions using no-code, low-code, and advanced platforms, translating business needs into scalable applications that enhance products, workflows, and decision-making.

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.