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.

We are looking for an Data Scientist to build, deploy, and optimize AI solutions that leverage large language models and modern data tooling. The ideal candidate is hands-on with Python-based data/ML workflows and can ship production-grade features quickly.

Primary Responsibilities:

• 
  Build and productionize ML/GenAI solutions using Python and Spark
• Integrate LLM capabilities (APIs/agents) into applications and workflows
• Design and maintain data pipelines for model training and inference
• Conduct experiments, track metrics, and iterate based on results
• Collaborate with product, data engineering, and platform teams to deliver features end?to?end
• Document solutions and follow best practices for version control, testing, and CI/CD

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• 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:

• Bachelors/Masters in Computer Science, Data Science, Engineering, or related field (or equivalent experience)
• Experience building ML models and/or integrating LLMs into real applications