Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
7 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 to interact with local stakeholders.
Preferred qualifications:
PhD in Statistics, Computer Science, Mathematics, or a quantitative social science such as Economics, Psychology, Political Science, or equivalent practical experience.
9 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
Experience articulating business/research questions, designing analysis frameworks, sourcing/creating the necessary data, using hypothesis testing, and translating analysis results into business recommendations.
Experience building data pipelines using different types of user data, including survey and open-text responses, product logs, etc.
Experience with analyzing machine learning model performance or working on Large Language Models (LLMs).