
201 - 500 employees
Founded 2015
🤖 Artificial Intelligence
☁️ SaaS
🏢 Enterprise
Artificial Intelligence • SaaS • Enterprise
OpenAI is a leading research organization and company dedicated to creating advanced artificial intelligence technology, with a strong emphasis on safety and ethical considerations. OpenAI's mission is to ensure that artificial general intelligence (AGI) benefits all of humanity. The company develops AI products like ChatGPT, which can assist users with tasks ranging from everyday requests to complex enterprise solutions. OpenAI also provides an API platform that integrates its AI models into various applications. The company is focused on innovation in AI and improving data analysis capabilities, while emphasizing safety and ethical governance of their systems.
🕒 May 16
Improve your chances of getting an interview by checking your resume score before you apply.

201 - 500 employees
Founded 2015
🤖 Artificial Intelligence
☁️ SaaS
🏢 Enterprise
Artificial Intelligence • SaaS • Enterprise
OpenAI is a leading research organization and company dedicated to creating advanced artificial intelligence technology, with a strong emphasis on safety and ethical considerations. OpenAI's mission is to ensure that artificial general intelligence (AGI) benefits all of humanity. The company develops AI products like ChatGPT, which can assist users with tasks ranging from everyday requests to complex enterprise solutions. OpenAI also provides an API platform that integrates its AI models into various applications. The company is focused on innovation in AI and improving data analysis capabilities, while emphasizing safety and ethical governance of their systems.
• 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
• 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
• Competitive salary • Flexible work hours • Professional development budget • Home office setup allowance • Global team events
Apply Now🕒 May 15
201 - 500
Investment Data Manager overseeing DataOps Analysts for Pension Insurance Corporation. Responsible for investment data processing and governance within the organization.
🕒 May 15
1001 - 5000
Data Scientist developing machine learning models to predict outcomes and fraud for Hastings Direct's insurance products. Collaborating with teams to leverage data insights for improved performance.
🕒 May 14
51 - 200
💸 Finance
💳 Fintech
👥 B2C
🕒 May 12
201 - 500
💸 Finance
💳 Fintech
Senior Pricing Data Scientist at Marshmallow responsible for pricing model development and data analysis to enhance pricing strategies. Collaborating with cross-functional teams and managing strategic initiatives.
🕒 May 12
10,000+ employees
🏢 Enterprise
🔬 Science
Senior Data Scientist leading development of generative AI systems within Elsevier, improving healthcare outcomes through trusted data and analytics. Collaborating with engineering teams to optimize retrieval systems.