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Principal Applied Scientist
Elevance HealthPrincipal Applied Scientist developing innovative AI and machine learning solutions for Elevance Health. Leading strategy and mentoring teams in a hybrid work environment.
Posted 7/13/2026full-timeWalnut Creek • California, Illinois, New York • 🇺🇸 United StatesLead💰 $214,192 - $350,496 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in defining and implementing enterprise artificial intelligence and machine learning strategies, with a strong focus on scalable solutions and measurable outcomes. Proficient in leading cross-functional teams and mentoring technical professionals to drive innovation and business value.
Highest-signal resume keywords
Artificial Intelligence StrategyMachine Learning SolutionsPython ProgrammingMLOpsModel Deployment
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningData ScienceAdvanced AnalyticsModel TrainingModel EvaluationLifecycle ManagementStatistical AnalysisOperations ResearchCloud-Based AIQuantitative Analysis
Soft Skills
MentoringCollaborationInfluencing
Certifications & Qualifications
MS or PhD in Computer ScienceMS or PhD in Machine LearningMS or PhD in StatisticsMS or PhD in Applied MathematicsMS or PhD in Data Science
Industry Keywords
Enterprise AI DevelopmentTechnical StandardsBest PracticesBusiness ValueData Systems
Tech Stack
Tools & technologiesCloudPython
About the role
Key responsibilities & impact- Defines and drives enterprise artificial intelligence and machine learning strategy aligned with organizational priorities
- Leads the design, validation, deployment, monitoring, and continuous improvement of advanced artificial intelligence and machine learning solutions
- Architects scalable end-to-end production systems, including model training, evaluation, deployment, monitoring, and lifecycle management
- Translates complex business challenges into scalable artificial intelligence solutions with measurable outcomes
- Establishes technical standards, reusable patterns, and best practices for enterprise artificial intelligence development and governance
- Partners with business and technology leaders to influence capability roadmaps and deliver sustainable business value
- Mentors data scientists, machine learning engineers, researchers, and technical leaders
Requirements
What you’ll need- Requires an MS or PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, Operations Research, Engineering, Data Science, Economics, or a related quantitative discipline
- Minimum of 10 years of experience in machine learning, data science, artificial intelligence, advanced analytics, or related technical fields
- Experience leading artificial intelligence or machine learning initiatives from concept through production deployment
- Experience with Python, machine learning frameworks, cloud-based artificial intelligence, or machine learning platforms, MLOps, model deployment, monitoring, lifecycle management, and structured and unstructured data systems
Benefits
Comp & perks- Comprehensive benefits package
- Incentive and recognition programs
- Equity stock purchase
- 401k contribution