What are the responsibilities and job description for the Data Scientist, Business position at OpenAI?
About the Role
As a member of our Business Data Scientist team, 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 our business teams can use to answer their own questions. Most importantly, you should expect to be a core member of the Business teams, 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 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 the GTM, User Ops, Marketing, and Partnerships organization as a trusted partner, uncovering new ways to improve the business and drive growth
Manage cross-functional data science projects about revenue, marketing, 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 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.
