Bachelor's degree or equivalent practical experience.
2 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
2 years of experience managing projects and defining project scope, goals, and deliverables.
Preferred qualifications:
Master’s or Ph.D degree in a quantitative discipline (e.g., Computer Science, Statistics, Mathematics, Operations Research etc.).
5 years of relevant work experience in a large-scale data analysis or data science setting.
Experience in abuse and fraud disciplines, especially focused on web security, harmful content moderation and threat analysis.
Experience in programming languages (e.g., Python, R, Julia), database languages (e.g., SQL) and with scripting languages (e.g., C/C++, Python, Java).
Proficient in applying Machine Learning techniques to large datasets.
Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.