Bachelor's degree or equivalent practical experience.
8 years of experience in data analysis including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
Experience in data extraction, manipulation, and analysis using SQL and scripting languages (e.g., Python).
Experience with data analysis, statistical analysis and data science.
Experience with web technologies, search engine ecosystems, and common web abuse tactics.
Preferred qualifications:
Master's degree in a quantitative field (e.g., Statistics, Computer Science, Mathematics, Engineering), or equivalent practical experience.
12 years of experience in roles focused on abuse detection, anti-spam, search quality, or adversarial data analysis.
Experience in or understanding of the Search Engine Optimization (SEO) industry and webmaster practices.
Experience in designing and developing novel machine learning models and data pipelines for large-scale abuse fighting.
Ability to define and manage multi-quarter strategic roadmaps for analytical projects or anti-abuse efforts.
Ability to contribute to the areas related to data science, machine learning, or abuse fighting.