Principal Applied Scientist
Core
Defining and managing experiments from inception to shipment, creating metrics, ML pipelines, and algorithms while owning problems end-to-end.
Role type
Principal Applied Scientist
Builds
ML pipelines, algorithms, experimentation frameworks, and tools to accelerate workflows
Domain
Applied science, predictive analytics, and data-driven product performance
Deliverable
production ML models
Required skills
agentic engineering, experiment design, ML pipeline development, algorithm design, rigorous evaluation methodologies, strategic planning, team mentorship
Preferred skills
ability to thrive in dynamic environments
Technologies
ML pipelines, experimentation frameworks
Responsibilities
Define and manage experiments from inception to shipment; create requisite metrics and ML pipelines; define rigorous evaluation methodologies and offline benchmarks; influence senior leadership with work summaries; build custom tools to accelerate workflows; contribute to strategic planning and technical roadmaps; mentor engineers and applied scientists
Seniority
Principal, strategy & mentorship
