Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, a related quantitative field, or equivalent practical experience.
5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree.
Preferred qualifications:
Master's degree or PhD in Statistics, Computer Science, Engineering or Mathematics.
8 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of experience with a PhD degree.
Experience articulating business questions and using mathematical techniques to arrive at an answer using available data. Experience translating analysis results into business recommendations.
Experience with large datasets in a distributed system.
Experience with human evaluation data such as surveys.
Familiarity with modern machine learning techniques, including sequence/transformer modeling experience in NLP/Vision/speech domains.