Bachelor's degree or equivalent practical experience.
5 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
5 years of experience managing projects and defining project scope, goals, and deliverables.
Preferred qualifications:
Master’s degree or PhD in a quantitative discipline (e.g., Computer Science, Statistics, Mathematics, Operations Research etc.).
5 years of experience in a data analysis or data science setting, or 3 years of experience with a PhD degree.
Experience in abuse and fraud disciplines 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 scripting languages (e.g., C/C++, Python, Java).
Experience with prompt engineering and fine-tuning LLMs.
Proficient in applying machine learning techniques to large datasets.