Initiate projects across the organization and drive them to completion autonomously while advocating for users and focusing on long-term responsible growth.
Interact cross-functionally as a thought partner to influence a wide range of product stakeholders and senior product leadership.
Leverage AI fluency and tools to drive advanced statistical and machine learning solutions for complex business challenges.
Minimum qualifications
Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
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.
Experience with Machine Learning algorithms and statistical modeling.
Experience with statistical data analysis, experimental design (e.g., A/B testing), and causal inference.
Experience applying causal inference techniques to estimate treatment effects or perform counterfactual analysis.
Preferred qualifications
8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.
Experience in scientific methodologies and Large Language Models
Experience performing product growth opportunity and headroom analysis.
Experience solving unstructured business problems and translating results into product recommendations.
Experience translating unstructured business problems into data-driven product recommendations
Ability to articulate scientific concepts to both technical and non-technical stakeholders.
Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
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.
Experience with Machine Learning algorithms and statistical modeling.
Experience with statistical data analysis, experimental design (e.g., A/B testing), and causal inference.
Experience applying causal inference techniques to estimate treatment effects or perform counterfactual analysis.
