Manager Data Science

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:

• Build strategic and technical solutions aligned to analytic efforts around AI/ML solutions
• Develop novel AI approaches for healthcare using both structured and unstructured data
• Build and test deep learning and traditional ML models in distributed computing environments
• Optimize deep learning models for performance, scalability and efficiency
• Stay current on internal and external technological advances in AI and advanced analytics that can be applied to the Healthcare Industry
• Design and plan experiments, conduct statistical analysis and create data visualizations
• Collaborate with the Responsible Use of AI (RUAI) team to ensure that the delivered solutions are compliant with company policies and standards
• Analyze, review and interpret complex data through the development of case-studies, enabling the data to tell a story
• Build and maintain production-ready machine-learning models
• Adopt new tools, technologies, and methodologies to ensure that the team stays at the frontier of Analytics
• End to end ownership in designing and deploying analysis/ Dashboard/ data visualizations using Power BI
• Identify drivers of patterns / behaviors uncovered in data and use these to explain business trends
• 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

• Bachelor's / Master's degree in Statistics, Physics, Mathematics, Engineering or similar analytic domain with a significant quantitative aspect
• 10+ years of experience in machine learning modeling and data analytics
• 5+ years of experience in creating full stack of machine learning end-to-end model pipeline and deploying machine learning models in production environments
• Experience with LLM frameworks and/or NLP approaches such as text embedding
• Experience with distributed computing approaches such as Spark
• Experience with Snowflake and other relational databases
• Experience working on collaborative software projects using GitHub
• Experience working for a large enterprise with fragmented data sources, lack of documentation, unstructured requirements and ambiguity
• Experience working with business stakeholders and senior leaders in understanding data and information needs, and executing on transformation of high-level, abstract data needs into meaningful AI/ML solutions
• Experience converting raw data into processed, actionable, insightful information
• Proficiency in AI/ML and deep learning frameworks such us PyTorch