Principal Applied Scientist

About the role

This role requires associates to be in-office 1 – 2 days per week at one of the Pulse Point locations in Walnut Creek, CA, New York, NY or Chicago, IL (alternate locations may be considered if within a reasonable commuting distance). The Principal Applied Scientist leads the design, development, deployment, and scaling of advanced AI/ML solutions that drive enterprise transformation and measurable business outcomes, serving as a senior technical authority for AI strategy, architecture, governance, and production implementation.

Responsibilities

• Define and drive enterprise AI/ML strategy aligned with organizational priorities.
• Lead the design, validation, deployment, monitoring, and continuous improvement of advanced AI/ML solutions.
• Architect scalable end-to-end production systems, including model training, evaluation, deployment, monitoring, and lifecycle management.
• Translate complex business challenges into scalable AI solutions with measurable outcomes.
• Establish technical standards, reusable patterns, and best practices for enterprise AI development and governance.
• Partner with business and technology leaders to influence capability roadmaps and deliver sustainable business value.
• Mentor data scientists, ML engineers, researchers, and technical leaders.

Minimum Requirements

• 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 equivalent combination of education and experience.
• Experience leading AI/ML initiatives from concept through production deployment.
• Experience with Python, ML frameworks, cloud-based AI/ML platforms, MLOps, model deployment, monitoring, lifecycle management, and structured and unstructured data systems.

Preferred Skills, Capabilities and Experiences

• Experience with generative AI, large language models, reinforcement learning, information retrieval, forecasting, recommender systems, optimization, causal inference, experimentation, or decision intelligence.
• Experience in healthcare, insurance, financial services, life sciences, or other regulated industries.

Pay

The salary range for this position is $214,192 to $350,496, based on a number of legitimate, non-discriminatory factors and market/business considerations. Actual compensation may vary depending on geographic location, work experience, education, and skill level.