About the Team
The Business Data Science team uses data and analytics to optimize business performance, drive growth, and foster meaningful partnerships, with the goal of ensuring the sustained and impactful expansion of OpenAI's initiatives to maximize the benefits of AGI for all of humanity. We partner with Sales (GTM), Marketing, Partnerships, Support, Finance, Product, and Growth.
About the Role
As a member of our Business Data Science team, you will help build a data-driven culture around insight generation, decision making, and strategy at OpenAI. This role is focused on driving customer success within our business products (ChatGPT Team, ChatGPT Enterprise, and API). You will work on projects such as identifying opportunities for interventions within a customer lifecycle to drive activation & onboarding, identifying target audiences for new feature launches, and measuring the efficacy of emails, events, and other interventions to drive ongoing engagement with our products.
This role is based in San Francisco, CA or New York, NY. 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 with our Customer Success organization as a trusted partner, uncovering new ways to drive customer adoption and engagement of our business products.
Establish key metrics, run experiments, and perform analysis to help us understand the incrementality of our efforts to drive adoption/engagement.
Proactively surface insights and opportunities to drive engagement and growth.
Build tools and systems for stakeholders to self-serve routine data and insights freeing up time to work on more leveraged analyses.
Become an expert in OpenAI’s data and systems. Through partnership with Data Eng, Finance and other business teams, you will self-serve all the underlying data for our business and derive insights from them.
Partner with other data scientists across the company to share knowledge and continually synthesizing learnings across the organization
You might thrive in this role if you have:
At least 10+ years of experience in Data Science roles within dynamic, outcome-driven organizations.
Expertise in statistics and causal inference, applied in both experimentation and observational causal inference studies.
Proficiency in quantitative programming languages, such as Python and R.
Expertise in SQL, with extensive experience extracting large datasets and designing ETL workflows.
Experience using business intelligence tools, such as Mode, Tableau, and Looker.
Strategic and impact-driven mindset, capable of translating complex business problems into actionable frameworks.
Ability to build relationships with diverse stakeholders and cultivate strong partnerships.
Strong communication skills, including the ability to bridge technical and non-technical stakeholders and collaborate across various functions to ensure business impact.
Ability to craft clear data stories using decks, memos, and dashboards to drive decision-making at every level.
Best-in-class attention to detail and unwavering commitment to accuracy.
Proven track record in solving problems within Finance, Marketing, Partnerships, Sales, Support, or other GTM areas.
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, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
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We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
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About the Team The Business Data Science team uses data and analytics to optimize business performance, drive growth, and foster meaningful partnerships, with the goal of ensuring ...