Data Scientist Product Policy
Data Scientist Product Policy
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
USD 255000 - 405000
1 Vacancy
Job Description
About the Team
The Product Policy team is responsible for the development implementation enforcement and communication of the policies that govern the use of OpenAIs services including ChatGPT GPTs the GPT store and the OpenAI API. The team is instrumental in developing policy frameworks and strategic priorities to best enable both innovative and responsible use of AI so that our groundbreaking technologies are truly used to benefit all people in pursuit of our mission.
About the Role
As Data Scientist and early member of our Measurement team on Product Policy you will help to ensure a datadriven policy development culture at OpenAI. You will leverage data on user behavior to define short and longterm policy priorities analyze tradeoffs and define north star metrics that measure the success of our policies & enforcements.
This role is based in San Francisco CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
In this role you will:
Embed as a member of the product policy team focused on applying datainsights to the full lifecycle of policy development implementation and enforcement
Stand up an initial assessment of policy priorities using internal data
Collaborate crossfunctionally across the organization including with Policy Research Safety Systems Intel & Investigations Global Affairs to coordinate research and data insights and more
Establish a datadriven policy development culture by driving the definition tracking and operationalizing of policysuccess metrics
Develop and socialize dashboards reports and other ways of enabling the team and company to answer policy data questions
You might thrive in this role if you have:
7 years experience in a quantitative role navigating highly ambiguous environments ideally as a founding data scientist researcher or product analyst
Defined implemented and operationalized new feature and productlevel metrics from scratch especially in ambiguous areas related to AI policy or social science
Strategic insights beyond the paradigm of statistical significance testing
An interest in user behavior and identifying optimized approaches to hard problems
Excellent communication skills with demonstrated ability to communicate with product managers engineers researchers and executives alike
You could be an especially great fit if you have:
A background in social science philosophy ethics and/or economics
Familiarity with major AI policy questions facing the company and the world
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that generalpurpose 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 do not discriminate on the basis of race religion national origin gender sexual orientation age veteran status disability or any other legally protected status.
OpenAI Affirmative Action and Equal Employment Opportunity Policy Statement
For US Based Candidates: Pursuant to the San Francisco Fair Chance Ordinance we will consider qualified applicants with arrest and conviction records.
We are committed to providing reasonable accommodations to applicants with disabilities and requests can be made via thislink.
OpenAI Global Applicant Privacy Policy
At OpenAI we believe artificial intelligence has the potential to help people solve immense global challenges and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Employment Type
Full-Time
