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Job description
OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this.
In pursuit of this mission, our Go To Market (GTM) team helps customers learn how to leverage and deploy our highly capable AI products across their business. The team is composed of Sales, Solutions, Support, Marketing, and Partnership professionals who work together to create valuable solutions that bring AI to as many users as possible.
About the Role
As an early member of our Data Scientist team within the GTM organization, you will help build a data‑driven culture around insight generation, decision making, and strategy at OpenAI. You will work on a wide range of projects, including defining north‑star metrics, designing tests, and establishing source‑of‑truth dashboards that the GTM team can use to answer their own questions. Most importantly, you will be a core member of the GTM team, helping to bring our technology to a wide range of customers and supporting our self‑serve and sales‑led motions.
This role is based in San Francisco, CA. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees.
In this role, you will:
Become an expert in OAI’s data and systems. Through partnership with Data Eng, Finance and other business teams, you should be able to self‑serve all the underlying data for our business and derive insights from them.
Embed with the GTM team as a trusted partner, uncovering new ways to improve the business and drive growth.
Establish a data‑driven culture by driving the definition, tracking, and operationalizing of metrics.
Develop and socialize dashboards, reports, and other ways of enabling the team and company to answer product data questions in a self‑serve way.
Manage cross‑functional data science projects about revenue, pricing, usage, and other topics core to the business.
Partner with other data scientists across the company to share knowledge and continually synthesize learnings across the organization.
You might thrive in this role if you:
Have 6+ years of experience in a Data Science role at a dynamic and outcome‑driven organization, ideally supporting finance organizations.
Can write complex, efficient, and eloquent SQL queries to extract data and use Python to process data.
Are proficient in business intelligence tools like Mode, Excel, Tableau, Looker, etc.
Have experience with very large data sets.
Have experience working with sales, customer success, support or other go‑to‑market teams.
Have excellent communication skills and a strong ability to tell stories when presenting data insights.
Have best‑in‑class attention to detail and an unwavering commitment to accuracy.
Have core statistics knowledge and the ability to inform experiment design.
Have a proven record of presenting insights to leadership and driving decisions.
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 do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status.
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 this link.
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Worksite address
san francisco, CA, 94199, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.