Principal Applied Scientist

Location: This role requires associates to be in-office 1 - 2 days per week, fostering collaboration and connectivity, while providing flexibility to support productivity and work-life balance. This approach combines structured office engagement with the autonomy of virtual work, promoting a dynamic and adaptable workplace. Ideal candidates will be able to report to one of our Pulse Point locations in Walnut Creek, CA, New York, NY or Chicago, IL. Alternate locations may be considered if candidates reside within a commuting distance from an office.

Please note that per our policy on hybrid/virtual work, candidates not within a reasonable commuting distance from the posting location(s) will not be considered for employment, unless an accommodation is granted as required by law.

The Principal Applied Scientist is responsible for leading the design, development, deployment, and scaling of advanced artificial intelligence and machine learning solutions that drive enterprise transformation and measurable business outcomes. Serves as a senior technical authority for artificial intelligence strategy, architecture, governance, and production implementation.

How you will make an 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.

Minimum Requirements:

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.

Preferred Skills, Capabilities and Experiences:

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.

Salary Information:

For candidates working in person or virtually in the below location(s), the salary range for this specific position is $214,192 to $350,496.

Location: California, New York, Illinois

In addition to your salary, Elevance Health offers benefits such as a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements).

The salary offered for this specific position is based on a number of legitimate, non-discriminatory factors set by the Company. The Company is fully committed to ensuring equal pay opportunities for equal work regardless of gender, race, or any other category protected by federal, state, and local pay equity laws.

The salary range is the range Elevance Health in good faith believes is the range of possible compensation for this role at the time of this posting. This range may be modified in the future and actual compensation may vary from posting based on geographic location, work experience, education and/or skill level.