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:

• Demonstrates expertise in statistics, traditional machine learning (ML), Natural Language Processing (NLP) and Deep Learning techniques
• Solid technical proficiency in Python, PySpark, SQL, TensorFlow/PyTorch, and MLFlow
• Skilled in Agentic AI, Gen AI and LLM technologies, including prompt engineering, LangChain, LangGraph, RAG, embeddings, vector databases (FAISS/Chrom DB/Azure AI Search etc.,).
• Apply advanced data science techniques to uncover actionable insights and data-driven decision making from structured and unstructured data
• Collaborate with cross-functional teams to translate business problems into data science solutions
• Design and implement end-to-end ML pipelines for real-time and batch inference
• Maintain model lifecycle management, including model monitoring and retraining
• Develop scalable and reliable Gen AI/LLM powered solutions to enhance productivity, automate workflows, and improve customer experience
• 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:

• Graduate degree or equivalent experience
• Bachelor's degree in Computer Science, Engineering, or a related field
• 3+ years experience as a Full Stack Engineer with Solid proficiency in Python, Java or other backend programming languages
• 2+ years of experience in data science, machine learning, or AI engineering roles like GenAI, Statistical Analysis, Data Mining, and Data Visualization, ML framework and libraries TensorFlow, PyTorch, scikit-learn, and Keras
• Experience with cloud platforms (e.g., Azure) and containerization technologies (e.g., Docker, Kubernetes)
• Experience in leveraging cloud-based data platforms (Azure/AWS/GCP), along with containerization (Docker), orchestration (Kubernetes), and MLOps practices for scalable model deployment
• Solid understanding of database concepts, distributed systems, and data warehousing principles

Preferred Qualifications:

• Master's degree
• Azure certifications
• Familiarity with the US Healthcare domain

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.