Become an expert in OpenAI’s data and systems, partnering with Data Engineering, Finance, and other teams to self-serve data and derive critical insights
Job Summary
Become an expert in OpenAI’s data and systems, partnering with Data Engineering, Finance, and other teams to self-serve data and derive critical insights.
Scale causal inference models to measure the impact of different actions on user growth and financial outcomes, and architect customer segmentation frameworks to unlock tailored growth strategies.
Automate standardized reporting and analysis by building data products or agentic solutions, and support product pricing and other business decisions with ad hoc analysis.
Matching Summary
Become an expert in OpenAI’s data and systems, partnering with Data Engineering, Finance, and other teams to self-serve data and derive critical insights.
Skills & Requirements
Must-have
Predictive modeling expertise
Causal inference expertise
Python and SQL proficiency
Tableau and analytical tools
Large, complex datasets experience
Actionable insights for leadership
Cross-functional project leadership
Nice-to-have
Enthusiastic self-starter
Fast-paced dynamic environments
Phenomenal teammate and communicator
Passion for technology and AI
First-principles thinking
Key Requirements
MS or PhD in a quantitative field
10+ years of experience
Early data scientist at hyper-growth company
Proficiency in Python, SQL, Tableau
Strong analytical skills
Ability to initiate and complete projects end-to-end