Note: The job is a remote job and is open to candidates in USA. Optum is a global leader in health care innovation, using advanced data analytics, artificial intelligence, and cybersecurity to improve health outcomes and the health system. The Senior Principal Data Scientist will provide technical and analytical leadership for enterprise initiatives, developing AI-driven solutions, advanced statistical models, and decision intelligence capabilities while mentoring data science talent and establishing responsible AI standards.
Responsibilities
- Design, develop, and deploy AI-powered solutions to address complex business challenges with an emphasis on responsible use of AI, collaborating across research, engineering, and product teams to translate cutting-edge AI advancements into scalable, reusable enterprise capabilities
- Serve as a senior technical leader and subject matter expert for enterprise data science, advanced analytics, AI, and machine learning initiatives across multidisciplinary teams
- Lead analytical strategy for highly complex enterprise challenges, analyzing large-scale datasets to uncover hidden patterns, emerging trends, anomalies, and previously unexploited business opportunities
- Develop predictive, prescriptive, causal, optimization, and decision intelligence solutions, applying advanced statistical methods, machine learning, Generative AI, and agentic AI capabilities
- Frame ambiguous business challenges into testable hypotheses, lead rigorous experimentation and model validation, and deliver executive-level recommendations that influence strategic decision-making
- Uphold ethical AI principles by embedding fairness, transparency, and accountability throughout the model development lifecycle
- Use enterprise-approved AI tools to streamline workflows, automate tasks, evaluate emerging trends, and drive continuous improvement
- Establish best practices for model development, explainability, monitoring, reproducibility, and responsible AI while mentoring data science talent across the organization
Skills
- • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, Operations Research, or another quantitative discipline, or equivalent experience (e.g., 4+ additional years of quantitative analysis experience in lieu of degree)
- • 10+ years of progressive experience in Data Science, Advanced Analytics, Machine Learning, AI, Operations Research, or related quantitative disciplines leading complex analytical initiatives
- • 5+ years of experience with Python, R, SQL, or comparable programming languages for statistical modeling and data manipulation
- • 5+ years of experience working with machine learning frameworks and ecosystems (e.g., Scikit-learn, TensorFlow, PyTorch, XGBoost)
- • 3+ years of experience framing ambiguous business challenges, conducting hypothesis testing, experimental design, causal inference, and model validation on large-scale datasets
- • 3+ years of experience providing technical leadership, mentoring data scientists, and establishing modeling standards
- • 3+ years of experience translating technical analytics into executive-level narratives to influence business and investment decisions
- • Master's degree or PhD in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, Operations Research, or related quantitative discipline
- • Advanced expertise applying Generative AI, Large Language Models (LLMs), Agentic AI, NLP, or emerging AI technologies to enterprise business problems
- • Experience architecting and operationalizing AI-enabled decision intelligence solutions, recommendation systems, anomaly detection, or forecasting systems at scale
- • Experience with cloud-based analytics and AI platforms (e.g., AWS, Azure, GCP) and modern enterprise data ecosystems
- • Experience establishing model governance, explainability, monitoring, and lifecycle management (MLOps) in complex or highly regulated enterprise environments
- • Demonstrated track record of developing reusable analytical platforms, frameworks, accelerators, or intellectual property across enterprise functions
Benefits
- A comprehensive benefits package
- Incentive and recognition programs
- Equity stock purchase
- 401k contribution
- The flexibility to work remotely from anywhere within the U.S.
- Development for other roles you may be interested in
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