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 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.

Primary Responsibilities:

• Analyze and interpret large datasets to extract meaningful insights
• Develop statistical models and machine learning algorithms to solve business problems
• Collaborate with cross-functional teams to understand data requirements and provide data-driven solutions
• Assist in designing and implementing data collection and data cleaning processes
• Perform exploratory data analysis to identify trends, patterns, and correlations
• Communicate findings and recommendations to stakeholders in a clear and concise manner
• 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:

• Experience with large language models (LLMs) and natural language processing (NLP) techniques
• Basic knowledge of prompt engineering and AI model fine-tuning
• Solid knowledge of statistical analysis and machine learning techniques
• Solid understanding of data cleaning, preprocessing, and feature engineering
• Understanding of vector databases (e.g., Pinecone, FAISS, ChromaDB) for efficient similarity search and retrieval
• Proficiency in programming languages such as Python or R
• Familiarity with data visualization tools and techniques
• Familiarity with Langchain framework for developing applications with LLMs
• Proven excellent problem-solving and analytical skills

Preferred Qualifications:

• Undergraduate degree or equivalent experience
• Experience with SQL and working with relational databases
• Knowledge of cloud platforms and big data technologies (e.g., AWS, GCP, Azure)
• Familiarity with deep learning frameworks such as TensorFlow or PyTorch

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.