Applied Scientist, Customer Growth

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Requirements:

• 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.

Responsibilities:

• 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.