Data Scientist, SMB Ads Growth

Highlights

• Architect end-to-end analytics for OpenAI's rapidly scaling global SMB ads platform.
• Build propensity and LTV models to identify high-value SMB advertisers.
• Design attribution and incrementality frameworks to evaluate channel efficacy.

What they offer

• equity

Ideal candidate

A growth-minded data scientist from ads or marketplaces who thrives in 0-to-1 ambiguity and turns complex funnel insights into executive decisions that grow SMB advertisers.

Requirements

• 5+ years of experience in data science or growth analytics within an ads platform, marketplace, or high-growth B2B environment.
• Proven track record of deploying machine learning models (propensity, LTV) that significantly moved business metrics.
• Strong SQL; proficient in Python or R.
• Experience thriving in ambiguous 0-to-1 environments with hands-on approach to building data infrastructure and processes.
• Prior experience at a major scaled ads platform (e.g., Meta, Google, LinkedIn).
• Experience working in 0-1 environments.
• Deep passion for artificial intelligence and proficiency in leveraging AI tools to accelerate modeling and insight generation.