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Data Scientist, GTM

2 months ago

San Francisco, United States OpenAI Full time

As an early member of our Data Scientist team within the Go–To–Market (GTM) organization, you will help build a data–driven culture around insight generation, decision making, and strategy at OpenAI. You should expect to work on a wide range of projects like defining north–star metrics, designing tests, estimating the incrementality of marketing and sales, and establishing source–of–truth dashboards that the GTM team can use to answer their own questions. Most importantly, you should expect to 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 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

Embed with the GTM team as a trusted partner, uncovering new ways to improve the business and drive growth

Manage cross–functional data science projects about revenue, pricing, usage, and other topics core to the business.

Establish a data–driven culture by driving the definition, tracking, and operationalizing of metrics

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.

Develop and socialize dashboards, reports, and other ways of enabling the team and company to answer product data questions in a self–serve way

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 are/have:

Over 6 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.

Proficient in quantitative programming languages, such as Python and R.

Highly skilled in SQL, with extensive experience extracting large datasets and designing ETL workflows.

Experienced in using business intelligence tools, such as Mode, Tableau, and Looker.

Strategic and impact–driven mindset, capable of translating complex business problems into actionable frameworks.

Effective at building relationships with diverse stakeholders and cultivating strong partnerships.

Strong communicator, able to bridge technical and non–technical stakeholders and collaborate across various functions to ensure business impact.

Adept at crafting 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, 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 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 thislink .

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.