Bachelor's degree or equivalent practical experience.
7 years of experience in managing projects and defining project scope, goals, and deliverables.
7 years of experience in data analysis or data science, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
5 years of experience in data analysis with experience in SQL or Python etc.
Preferred qualifications:
Master's or PhD in a relevant quantitative or engineering field.
5 years of experience working in a Trust and Safety Operations, data analytics, cybersecurity, or other relevant environment.
Experience working with Large Language Models, LLM Operations, prompt engineering, pre-training, and fine-tuning.
Experience in designing and conducting experiments or quantitative research, in a technology or AI context.
Experience in AI systems, machine learning, and their potential risks.
Strong technical competency with a data-driven investigative approach to solve complex tests, including demonstrable proficiency in data manipulation, analysis, and automation using languages like Python and SQL.