Data Scientist, Integrity at OpenAI

Candidates should possess 5+ years of quantitative experience in ambiguous environments, ideally as a data scientist at a hyper-growth company or research organization, with exposure to fraud, abuse, or security problems. Experience on a highly technical trust and safety team and/or working closely with policy, content moderation, or security teams is preferred. Proficiency in coding languages like Python for programmatic data exploration and insight generation, along with proven ability to propose, design, and run rigorous experiments (A/B tests, quasi-experiments, simulations) leveraging SQL and Python, is essential. Excellent communication skills with a track record of influencing cross-functional partners are also required. Bonus points for experience with deploying scaled detection solutions using large language models, embeddings, or fine-tuning.