Principal Applied Scientist
Core
Identify high-value opportunities for applied AI, translate ambiguous business problems into rigorous technical approaches, and rapidly prototype and iterate on AI solutions to improve operational outcomes.
Role type
Principal Applied Scientist (Strategy & Hands-on IC)
Builds
Scalable data, experimentation, and learning loops; production-ready AI capabilities and reusable frameworks.
Domain
Applied AI, Statistics, Predictive Analytics, Research
Deliverable
production ML models | product features | research
Required skills
AI-first development, robust evaluation methodologies, experimental design, technical leadership, Responsible AI governance, system architecture, implementation, deployment, observability, reliability, performance optimization.
Preferred skills
N/A
Technologies
N/A
Responsibilities
Design robust evaluation methodologies and benchmarks connecting model performance to operational outcomes; Partner with engineering teams on architecture, implementation, deployment, and reliability; Develop reusable AI methods and frameworks for multiple transformation scenarios; Provide technical leadership on emerging techniques and tradeoffs; Ensure Responsible AI, privacy, and security throughout experimentation and deployment.
Seniority
Principal, strategy & mentorship
