Bachelor's degree or equivalent practical experience.
7 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
7 years of experience managing projects and defining project scope, goals, and deliverables.
7 years of experience with one or more of the following languages: SQL, R, Python, or C++.
5 years of experience working in a Trust and Safety Operations, data analytics, cybersecurity, or other related environment.
Preferred qualifications:
Master's degree or PhD in a quantitative or engineering field.
Experience in designing and conducting experiments or quantitative research, in a technology or AI context.
Experience working with Large Language Models, LLM Operations, prompt engineering, pre-training, and fine-tuning.
Understanding of AI systems, machine learning, and their potential risks.
Excellent problem-solving and critical thinking skills with attention to detail and the ability to think strategically and identify emerging threats and vulnerabilities.
Excellent communication and presentation skills and the ability to influence cross-functionally at various levels.