Data Scientist, Safety

Written by the T&S Network from OpenAI's posting.

Data science work inside OpenAI's Safety teams, measuring and preventing misuse, fraud, and abuse across its AI products and protecting vulnerable users. Sits across Safety Systems, Integrity, and Product Policy, where the aim is analytical foundations for deploying more capable AI responsibly.

• Fraud and scams
• Coordinated manipulation

What you'd do

• Measure harmful or abusive behavior across OpenAI's products
• Detect fraud, manipulation, and coordinated misuse
• Assess and tune classifiers, rules, mitigations, and human review processes
• Design experiments and causal analyses on product, policy, and mitigation impacts
• Create prevalence estimates, dashboards, monitoring, and decision frameworks leaders can act on
• Quantify false positive and false negative tradeoffs in safety and integrity systems
• Collaborate with product, engineering, policy, research, and ops colleagues on safety results

What it asks for

• Solid grounding in statistics and good judgment about analysis
• Hands-on work with experiments, causal methods, or observational data
• Strong SQL and Python skills
• Comfort analyzing data that's messy, partial, or noisy
• Skill at turning vague business or risk questions into a clear structure
• Able to explain findings clearly to both technical and non-technical audiences
• Trust & Safety, Integrity, or fraud and abuse background (preferred)

Terms in this role

Prevalence.

How often people see violating content, usually counted as views of it per 10,000 views. A common way to measure enforcement.

Our best summary of the posting, and it can be wrong. The employer's posting is what counts: read it in full on OpenAInorth_east before you apply. If we got something wrong, report this listing.