Senior Software Engineer

Improve the lives of others while Caring. Connecting. Growing together.

Job Description - Senior Software Engineer (2399289)

Senior Software Engineer - 2399289

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, and data 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.

As a Senior Data Scientist within Optum Technology, you will play a key role in advancing our mission to transform healthcare through advanced analytics and data-driven solutions. In this role, you will design, develop, and deploy predictive models and machine learning algorithms to solve complex business challenges, uncover actionable insights, and improve healthcare outcomes. You will collaborate closely with cross-functional technology and business teams to translate strategic goals into scalable analytical capabilities, leveraging modern cloud platforms and data science toolsets.

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

• Design, build, test, and deploy predictive models, machine learning algorithms, and advanced statistical analyses to solve complex healthcare and business problems
• Query, clean, and analyze large volumes of complex structured and unstructured data across enterprise data repositories
• Collaborate with product, engineering, and business stakeholders to translate business requirements into scalable, production-ready data science solutions
• Review the work of other data scientists and analysts, providing constructive technical feedback, code reviews, and mentorship
• Develop innovative analytical approaches and establish best practices for data science workflows, model validation, and governance
• Anticipate business and stakeholder needs, proactively identifying high-impact opportunities for advanced analytics
• Design validation, performance tracking, and monitoring frameworks to evaluate model accuracy, fairness, and reliability in production
• Synthesize and present complex analytical findings and model results clearly to technical and non-technical audiences

You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

• 5+ years of professional experience in data science, predictive modeling, or machine learning
• 3+ years of programming experience using Python or R for statistical analysis and machine learning
• 3+ years of experience writing complex SQL queries and extracting data from relational or distributed databases
• 2+ years of experience developing and deploying machine learning models into production environments
• 2+ years of experience utilizing machine learning libraries and frameworks (e.g., scikit-learn, Tensor Flow, PyTorch, or XGBoost)
• 1+ years of experience communicating analytical findings and technical concepts to business stakeholders

• Master’s or Ph.D. degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative discipline
• Experience working with cloud-based data science and machine learning platforms (e.g., AWS, Azure, or Google Cloud Platform)
• Experience with distributed…