Applied Scientist, Customer Growth

Expert knowledge of machine learning techniques. Ability to read, write, and debug code in programming languages such as Python. Good knowledge of probability and statistics, including experimental design, optimization, and causal inference. Experience with technical mentorship of other applied scientists. Ability to create and implement impactful roadmaps. Ability to analyze complex problems and understand trade-offs. Clear and effective communication skills for diverse technical partners.

Initiate and drive applied science initiatives to completion, focusing on business impact. Architect and deploy machine learning systems to production. Design and execute experiments and analyze data to characterize product and marketing. Analyze structured and unstructured data: observational and experimental. Collaboration with engineering, marketing, and economics teams. Maintain a balance between speed and scientific rigor in solutions. Provide technical mentorship to other applied scientists.