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Elevance Health

Principal Applied Scientist

Elevance Health

. Define and drive enterprise artificial intelligence and machine learning strategy aligned with organizational priorities .

Posted 9/23/2026full-timeUnited StatesLead💰 $214,192 - $350,496 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in defining and driving enterprise artificial intelligence and machine learning strategies, with a strong focus on scalable solutions and measurable business outcomes. Proficient in leading cross-functional teams and mentoring technical leaders in the development and deployment of advanced AI systems.

Highest-signal resume keywords
Artificial Intelligence StrategyMachine Learning FrameworksPython ProgrammingMLOpsModel Deployment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Machine LearningData ScienceAdvanced AnalyticsModel TrainingModel EvaluationLifecycle ManagementGenerative Artificial IntelligenceReinforcement LearningCausal InferenceDecision Intelligence
Soft Skills
MentoringCollaborationInfluencing
Tools & Technologies
Cloud-Based AI PlatformsStructured Data SystemsUnstructured Data Systems
Certifications & Qualifications
MS or PhD in Computer ScienceMachine LearningStatisticsApplied MathematicsData Science
Industry Keywords
HealthcareInsuranceFinancial ServicesLife SciencesRegulated Industries

Tech Stack

Tools & technologies
CloudPython

About the role

Key responsibilities & impact
  • Define and drive enterprise artificial intelligence and machine learning strategy aligned with organizational priorities
  • Lead the design, validation, deployment, monitoring, and continuous improvement of advanced artificial intelligence and machine learning solutions
  • Architect scalable end-to-end production systems, including model training, evaluation, deployment, monitoring, and lifecycle management
  • Translate complex business challenges into scalable artificial intelligence solutions with measurable outcomes
  • Establish technical standards, reusable patterns, and best practices for enterprise artificial intelligence development and governance
  • Partner with business and technology leaders to influence capability roadmaps and deliver sustainable business value
  • Mentor data scientists, machine learning engineers, researchers, and technical leaders
  • Lead the design, development, deployment, and scaling of advanced artificial intelligence and machine learning solutions that drive enterprise transformation and measurable business outcomes
  • Serve as a senior technical authority for artificial intelligence strategy, architecture, governance, and production implementation

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, and a minimum of 10 years of experience in machine learning, data science, artificial intelligence, advanced analytics, or related technical fields; or any combination of education and experience which would provide an equivalent background
  • Experience leading artificial intelligence or machine learning initiatives from concept through production deployment required
  • 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 required
  • Experience with generative artificial intelligence, large language models, reinforcement learning, information retrieval, forecasting, recommender systems, optimization, causal inference, experimentation, or decision intelligence preferred
  • Reinforcement Learning experience preferred
  • Experience in healthcare, insurance, financial services, life sciences, or other regulated industries preferred
  • Candidates must reside within a reasonable commuting distance from the posting location(s), unless an accommodation is granted as required by law

Benefits

Comp & perks
  • Comprehensive benefits package
  • Incentive and recognition programs
  • Equity stock purchase
  • 401k contribution
  • Merit increases
  • Paid holidays
  • Paid Time Off
  • Incentive bonus programs
  • Medical benefits
  • Dental benefits
  • Vision benefits
  • Short-term disability benefits
  • Long-term disability benefits
  • 401(k) + match
  • Stock purchase plan
  • Life insurance
  • Wellness programs
  • Financial education resources
  • Hybrid work flexibility
  • Professional and personal growth opportunities