Data Scientist
Product
Posted on 2/24/2024
INACTIVE
OpenAI

1,001-5,000 employees

AI research and deployment company
Company Overview
OpenAI's mission is to ensure that artificial general intelligence benefits all of humanity. OpenAI's mission is to ensure that artificial general intelligence (AGI)—by which they mean highly autonomous systems that outperform humans at most economically valuable work—benefits all of humanity.
AI & Machine Learning
Social Impact
Venture Capital

Company Stage

Seed

Total Funding

$11.3B

Founded

2015

Headquarters

San Francisco, California

Growth & Insights
Headcount

6 month growth

97%

1 year growth

146%

2 year growth

549%
Locations
San Francisco, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
SQL
CategoriesNew
Data & Analytics
Requirements
  • 5+ years experience in a quantitative role navigating highly ambiguous environments
  • Experience in NLP, large language models, or generative AI
  • Strong programming background with ability to run simulations and prototype variants
  • Experience validating quantitative insights with qualitative methods (e.g. surveys, UXR)
Responsibilities
  • Embed with the product development team as a trusted partner, uncovering new ways to improve the product and drive growth
  • Define and interpret A/B tests that help answer critical questions about the impact of model and UX changes to our product
  • Establish a data-driven product development culture by driving the definition, tracking, and operationalizing of feature-, product-, and company-level 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
Desired Qualifications
  • Proposed, designed, and run rigorous experiments with clear insights and product recommendations utilizing SQL and Python
  • Defined, implemented, and operationalized new feature and product-level metrics from scratch
  • Excellent communication skills with demonstrated ability to communicate with product managers, engineers, and executives alike
  • Strategic insights beyond the paradigm of statistical significance testing