Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
Ability to communicate in English and Spanish fluently due to business needs.
Preferred qualifications:
PhD in a quantitative discipline such as Statistics, Computer Science, Mathematics, or a quantitative social science such as Economics, Psychology, or Political Science, or equivalent practical experience.
Experience articulating business/research questions, designing analysis frameworks based on those questions, sourcing/creating the necessary data, using statistical analysis and hypothesis testing to arrive at an answer, and translating analysis results into business recommendations.
Experience with analyzing machine learning model performance or working on LLMs.
Proficiency in applying machine learning techniques to large datasets.