Note: The job is a remote job and is open to candidates in USA. Optum is a global organization that delivers care aided by technology, helping people access care, pharmacy benefits, data, and health resources. The Principal Data Scientist will lead strategic data interpretation, AI/ML solution development, data engineering, and predictive modeling to support healthcare business growth and executive decision-making. The role also mentors data scientists and collaborates with engineering, platform, product, and business teams to operationalize scalable AI/ML systems.
Responsibilities
- Lead development of advanced AI/ML systems using techniques such as deep learning, representation learning, time-series modeling, survival analysis, and probabilistic modeling to solve complex healthcare problems
- Develop Generative AI and LLM-powered solutions including retrieval-augmented generation (RAG) pipelines, domain-adapted LLMs, and AI copilots for enterprise workflows
- Lead collaboration with key business stakeholders to develop business solutions based on data driven insights to solve complex business problems
- Lead projects that combine diverse customer data sets to identify trends and opportunities, develop custom machine learning models, and provide recommendations to optimize the business and address data-related problems
- Serve as a senior technical authority in AI/ML by mentoring data scientists and reviewing complex modeling approaches and architecture
- Coordinate with different functional teams to improve customer data architecture, ensure accuracy of model output and implement new data gathering processes
- Create customized summaries, business presentations and documentation for internal business clients based on the results of research
- Collaborate with engineering, platform, and product teams to operationalize scalable AI/ML and GenAI systems within enterprise platforms
Skills
- 8+ years of experience in machine learning, artificial intelligence, or applied data science to develop data products in a business environment
- 8+ years of experience in Python-based machine learning development using frameworks such as PyTorch, TensorFlow, Pandas or equivalent
- 5+ years of experience designing and deploying production machine learning systems leveraging regression, natural language processing algorithms, classification and clustering, time-series forecasting and predictive/prescriptive modeling
- 5+ years of experience providing data driven solutions, predictive models, reports, or recommendations within a business environment using SQL or data visualization tools. This can include previous work in data science teams, business intelligence, financial reporting or analytics environments
- 5+ years of experience working as a key SME to executive or C-Suite stakeholders
- Experience working with distributed ML systems and large-scale data platforms such as Snowflake, Spark, Databricks, or other ML systems
- Experience working as a project or team lead on the development of data products in a business environment
- Experience deploying AI solutions on cloud platforms such as AWS, Azure, or Google Cloud Platform
- Experience working with healthcare datasets and standards such as claims, EHR, ICD, CPT, SNOMED, FHIR, or HL7
- External contributions such as publications, patents, or open-source projects in machine learning or generative AI
Benefits
- Comprehensive benefits
- Career development opportunities
- Flexibility to telecommute from anywhere within the U.S.
Company Overview
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