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.
5 years of experience with SQL and Python (or similar languages) for data transformation and analysis
3 years of experience with foundational concepts in machine learning, including model evaluation and prompt engineering.
Preferred qualifications:
xperience with metrics development and A/B testing (modeling, experimentation, and causal inference).
Experience in data transformation, structured labeling, and creating machine-readable datasets.
Experience in technical Trust and Safety, threat intelligence, risk analysis, or related roles, including abuse detection, adversarial tactics and model evaluations for safety and robustness.
Experience with risk intelligence workflows (collection, analysis, dissemination).
Ability to navigate imperfect data and prioritize under uncertainty in a changing threat landscape.
Excellent communication skills and the ability to collaborate with analysts, engineers, and policy stakeholders.