# Data Scientist, Safety

**Company**: OpenAI
**Location**: London, UK
**Work arrangement**: hybrid
**Job type**: Full time
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q124605186

**Apply**: https://jobs.ashbyhq.com/openai/666119c9-ff97-4e81-9805-94d7525bd633?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_5ef9987f-536

## Description

We're hiring Data Scientists to help build the analytical foundations that allow OpenAI to deploy increasingly capable AI responsibly.

As a Data Scientist, Safety, you will help solve complex and ambiguous problems where rigorous analysis directly informs critical decisions.

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

We’re looking for strong Data Scientists who thrive in ambiguous, high-leverage environments.

You may be a fit if you have:

- Strong statistical reasoning and analytical judgment

- Experience with experimentation, causal inference, or observational analysis

- Strong SQL and Python skills

- Experience working with messy, incomplete, or noisy datasets

- Ability to structure open-ended business or risk problems

- Excellent communication with technical and non-technical stakeholders

- High ownership and comfort operating independently

Helpful backgrounds include:

- Trust & Safety / Integrity

- Fraud & abuse

- Security analytics

- AI/ML model measurement and evaluation

- Alignment and AI safety research

- Biosecurity, synthetic biology, infectious diseases, or computational biology

Work on mission-critical problems with world-level impact

- Help shape how frontier AI systems are deployed safely

- Operate with unusual ownership and visibility

- Solve novel problems where there are no existing playbooks

- Join highly collaborative teams working across OpenAI

## Skills

### Required
- statistical reasoning
- analytical judgment
- experimentation
- causal inference
- observational analysis
- SQL
- Python
- messy datasets
- incomplete datasets
- noisy datasets
- business problem structuring
- communication
- technical stakeholders
- non-technical stakeholders
- ownership
- operating independently

### Nice to have
- Trust & Safety / Integrity
- Fraud & abuse
- Security analytics
- AI/ML model measurement and evaluation
- Alignment and AI safety research
- Biosecurity
- synthetic biology
- infectious diseases
- computational biology

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Source: [Apply at jobs.ashbyhq.com](https://jobs.ashbyhq.com/openai/666119c9-ff97-4e81-9805-94d7525bd633?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)