As a Data Scientist, Safety, you will help solve complex and ambiguous problems where rigorous analysis directly informs critical decisions. Depending on your background and team alignment, you may work on areas such as: Measure harmful or abusive behavior across OpenAI’s products; Detect fraud, manipulation, coordinated misuse; Evaluate and improve safety classifiers, rules systems, mitigation systems, and human review workflows; Design experiments and causal analyses to understand product, policy, and mitigation impacts; Build prevalence estimators, dashboards, monitoring systems, and executive decision frameworks; Diagnose gaps in safety and integrity systems using behavioral and product data, and help quantify and navigate false positive / false negative tradeoffs; Translate ambiguous safety risks into measurable problems and evidence-based recommendations; Partner with Product, Engineering, Policy, Research, and Operations teams to improve safety outcomes; Build zero-to-one analytical systems in rapidly evolving domains.

Measure harmful or abusive behavior across OpenAI’s products

Detect fraud, manipulation, coordinated misuse

Evaluate and improve safety classifiers, rules systems, mitigation systems, and human review workflows

Design experiments and causal analyses to understand product, policy, and mitigation impacts

Build prevalence estimators, dashboards, monitoring systems, and executive decision frameworks

Diagnose gaps in safety and integrity systems using behavioral and product data, and help quantify and navigate false positive / false negative tradeoffs

Translate ambiguous safety risks into measurable problems and evidence-based recommendations

Partner with Product, Engineering, Policy, Research, and Operations teams to improve safety outcomes

Build zero-to-one analytical systems in rapidly evolving domains