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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Data Scientist - Remote - **Company:** Unitedhealth Group Inc - **Location:** Eden Prairie, MN, United States (Remote available) - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Python (Programming Language), Machine Learning, Tensorflow, Standard Sql, Pytorch, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, Deep Learning, Model Validation, Generative AI, AI Platforms, Machine Learning Operations - **Published:** August 11, 2026 - **Apply:** https://us.experteer.com/career/view-jobs/principal-data-scientist-remote-eden-prairie-mn-usa-58893064 ## About the Role some workflows with agent frameworks and A2A communication patterns * Advance model evaluation, reliability, and monitoring (offline metrics, safety testing, drift detection) * Drive responsible AI practices (explainability, bias detection, governance) * Mentor data scientists and review complex modeling approaches * Collaborate with engineering, platform, and product teams to operationalize AI/ML solutions in enterprise platforms Tasks * Bachelor's degree in a related field * 10+ years of ML/AI experience with 7+ years deploying production ML systems * 8+ years Python-based ML development using PyTorch, TensorFlow, or equivalent; strong SQL * 5+ years deploying production ML systems (model serving, monitoring, lifecycle management) * 3+ years building Generative AI/LLM apps (prompt engineering, RAG, evaluation, safety) * 1+ years building or evaluating agentic AI systems (AI agents, MCP, A2A) Key requirements * comprehensive benefits package * incentive and recognition programs * aaaa AI stock purchase * 401k contribution * telecommuter policy * remote work options ## Description Experteer Overview As a Principal Data Scientist at Optum.ai, you design and deliver advanced AI/ML and GenAI systems that tackle high-impact healthcare and operational challenges. You lead scalable ML initiatives and architect AI platforms that support enterprise workflows. You mentor others and drive responsible AI practices aligned with regulatory standards. This role offers remote flexibility in the U.S. with on-site requirements in Minneapolis or DC for some team members. You'll shape AI innovations that improve health outcomes at scale. Compensation / Benefits * Lead development of advanced AI/ML systems using deep learning, time-series modeling, and probabilistic methods to address healthcare problems * Develop Generative AI and LLM-powered solutions including retrieval-augmented generation pipelines and AI copilots for enterprise workflows * Architect scalable AI/ML systems (feature stores, training workflows, serving infra, monitoring, retraining) * Build agentic AI and autonomous workflows with agent frameworks and A2A communication patterns * Advance model evaluation, reliability, and monitoring (offline metrics, safety testing, drift detection) * Drive responsible AI practices (explainability, bias detection, governance) * Mentor data scientists and review complex modeling approaches * Collaborate with engineering, platform, and product teams to operationalize AI/ML solutions in enterprise platforms Tasks * Bachelor's degree in a related field * 10+ years of ML/AI experience with 7+ years deploying production ML systems * 8+ years Python-based ML development using PyTorch, TensorFlow, or equivalent; strong SQL * 5+ years deploying production ML systems (model serving, monitoring, lifecycle management) * 3+ years building Generative AI/LLM apps (prompt engineering, RAG, evaluation, safety) * 1+ years building or evaluating agentic AI systems (AI agents, MCP, A2A) Key requirements * comprehensive benefits package * incentive and recognition programs * equity stock purchase * 401k contribution * telecommuter policy * remote work options ## Related Videos - [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app) - [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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