Initiate and drive applied science initiatives to completion, with a focus on the business impact
Build and deploy AI systems to production
Analyze a wide variety of data: structured and unstructured, observational and experimental to drive model development
Maintain the right balance between speed of execution and scientific rigor when designing solutions
Own the reliability and performance of deployed models, including monitoring and iterative improvement

5+ years of experience in applied AI / data science with demonstrated experience deploying models to production
Ability to effectively read, write, and debug code in programming languages such as Python
Familiarity with agentic software engineering tools like Claude Code, Cursor, or Codex
Solid foundation in probability and statistics, including experimental design, predictive modeling, optimization, and causal inference
Ability to drive technical and impactful roadmaps for the business
Experience working through complex projects with cross functional execution
Ability to break down complex problems rigorously and understand the tradeoffs necessary to deliver impactful projects
Ability to communicate clearly and effectively to cross functional partners of various technical levels

Applied Scientist, Customer Growth

Key skills