Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis or a PhD degree.
Preferred qualifications:
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 a PhD degree.
4 years of experience in data analysis, including statistical data analysis such as linear models, multivariate analysis, stochastic models and sampling methods.
Experience with large datasets and big data technologies (e.g., BigQuery, Hadoop, Spark).
Experience in fraud detection, spam mitigation, or anomaly detection within the online advertising ecosystem.