Senior Data Scientist

About this role

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.

You will enjoy the flexibility to telecommute\* from anywhere within the U.S. as you take on some tough challenges.

Primary Responsibilities:

• Lead the design, development, and deployment of applied machine learning solutions addressing complex business and clinical problems using large-scale healthcare data
• Own the end-to-end model lifecycle: problem framing, feature engineering, model development, evaluation, validation, explainability, deployment, and post-production monitoring
• Develop and review production-grade Python code following software engineering best practices (testing, modularization, version control, CI/CD)
• Architect scalable data science workflows using Python, SQL, and distributed data processing frameworks in cloud or enterprise environments
• Apply and advance classical ML, deep learning, time-series modeling, and survival analysis techniques based on business needs
• Ensure models are interpretable, explainable, and compliant with enterprise governance, regulatory, and ethical standards (e.g., bias, fairness, auditability)
• Partner with engineering, product, clinical, and business stakeholders to translate ambiguous problems into actionable analytical solutions
• Provide technical leadership and mentorship to senior and mid-level data scientists; set standards for modeling, experimentation, and code quality
• Review and approve modeling approaches, assumpt...