Nuvepro - Task Intelligence for the Enterprise
OpenAI· Data Science· San Francisco

Data Scientist, Safety Systems

Comp$255K – $405K

Classified Tasks (13)

Automate 0%Augment 69%Human-Only 31%

Augment (9)

AI assists, human decides

Establish a data-driven approach for understanding, evaluating, and monitoring the safety of production systems

analytical

Define feature-, product-, and company-level metrics for safety tracking and evaluation

analytical

Develop and implement statistical methods to operationalize and productionize safety-related metrics

technical

Conduct analyses to quantify the real-world safety impact of products

analytical

Establish and maintain source-of-truth dashboards for company-wide safety questions

operational

Develop new methods to measure and mitigate harm and abuse

creative

Create and disseminate dashboards, reports, and tools that enable the team and company to answer safety-related questions independently

operational

Develop a safety data flywheel and provide production insights/data to safety research for training and evaluation

technical

Collaborate with researchers and engineers to advance the safety, robustness, and reliability of AI models and deployments

technical

Human-Only (4)

Requires human judgment

Collaborate with cross-functional partners to define north-star safety metrics

communication

Lead efforts to measure the real-world safety impacts of current and upcoming products

leadership

Provide direction, guidance, and coordinate safety projects across teams

leadership

Drive the definition, tracking, and operationalization of metrics to establish a data-driven culture within Safety Systems

leadership

Job description

Data Scientist, Safety Systems | OpenAI Careers ## Data Scientist, Safety Systems Data Science - San Francisco Apply now(opens in a new window) **About the Team** The Safety Systems team is dedicated to ensuring the safety, robustness, and reliability of AI models and their deployment in the real world. Building on the many years of our practical alignment work and applied safety efforts, Safety Systems addresses emerging safety issues and develops new fundamental solutions to enable the safe deployment of our most advanced models and future AGI, to make AI that is beneficial and trustworthy. Learn more about OpenAI’s approach to safety **About the Role** As a Data Scientist in Safety Systems, you will establish the data-driven approach for understanding, evaluating, and monitoring the safety of our production systems. You should expect to collaborate with our partners across the company to define north-star metrics, own and implement the statistical methods to productionize those metrics, conduct analysis to understand the impact of our products, and establish source-of-truth dashboards that the entire company can use to answer safety-related questions. Most importantly, you will be a core member of the Safety Systems team, collaborating with researchers and engineers to advance our goals of safe, robust, and reliable AI. This role is based in our San Francisco HQ. We offer relocation assistance to new employees. **In this role, you will:** * Lead our efforts in understanding and measuring the real-world safety impacts of OpenAI’s current and upcoming products * Uncovering new ways to improve our approaches to measuring and mitigating harm and abuse * Develop and implement statistical methods necessary to operationalize safety-related metrics * Provide direction, guidance, and coordination of projects in the space * Establish a data-driven culture within Safety Systems by driving the definition, tracking, and operationalizing of feature-, product-, and company-level metrics * Create and disseminate dashboards, reports, and tools that enable the team and company to answer safety-related questions independently * Develop safety data flywheel and provide safety research with production insights/data for training and evaluation. **You might thrive in this role if you have:** * 5+ years experience in a quantitative role navigating highly ambiguous environments, ideally as a founding data scientist or team lead at a hyper-growth product company or research org * Proven leadership skills, including leading multiple data scientists and cross-functional teams * Expertise in defining and implementing metrics, with a track record of operationalizing new feature and product-level metrics from scratch * Excellent communication skills with demonstrated ability to communicate with product managers, engineers, and executives alike * Strategic insights that extend beyond traditional statistical significance testing. **You could be an especially great fit if you have:** * Experience in trust and safety, integrity, anti-abuse, or related fields * Demonstrated prior experience in NLP, large language models, or generative AI * Strong statistical background, including knowledge of sampling, regression, causal analysis, and more **About OpenAI** OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexua
Source: OpenAI careers · scraped 2026-05-22
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