About this role
About the Role
OpenAI's ads platform is experiencing rapid global scale. As the Lead Data Scientist for SMB Ads Growth, you will architect the analytics function end-to-end—driving strategy across targeting, funnel optimization, and performance forecasting. You will work directly with the SMB Ads Marketing team and your insights will be the primary catalyst for high-stakes decisions across marketing, product, and sales engineering.
What You'll Do
Full-Funnel Analytics
- Establish the foundational growth metrics and North Star KPIs for the SMB Ads ecosystem, optimizing the journey from lead acquisition to long-term retention.
- Diagnose funnel friction points through advanced behavioral analysis and quantify the incremental revenue impact of proposed optimizations.
- Partner cross-functionally to transform complex data findings into actionable, high-priority roadmaps for product and marketing stakeholders.
Targeting, Segmentation & Propensity Modeling
- Engineer sophisticated propensity models and look-alike frameworks to identify and capture high-LTV SMB advertisers.
- Own the lifecycle of target list construction, including advanced data enrichment, multi-dimensional prioritization, and granular performance tracking.
- Develop robust segmentation architectures that power hyper-personalized outreach across paid, partnership, and outsourced (BPO) channels.
- Synthesize market signals to refine our value proposition, ensuring OpenAI remains a key platform for SMB business growth.
Campaign Analytics & Measurement
- Design and implement rigorous multi-touch attribution and incrementality frameworks to evaluate channel efficacy.
- Lead the experimental roadmap: formulate hypotheses, execute A/B and multivariate tests, and communicate results to executive leadership.
- Automate business-critical reporting and dashboards to provide real-time visibility during weekly operating reviews.
Forecasting & Planning
- Build high-fidelity revenue and advertiser growth models to project performance against quarterly and annual targets.
- Simulate the impact of various growth levers—such as regional expansion and channel activation—to drive strategic resource allocation.
What We're Looking For
Required
- 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 a hands-on approach to building data infrastructure and processes.
Strongly Preferred
- Prior experience at a major scaled ads platform (e.g., Meta, Google, LinkedIn).
- Experience working in 0-1 environments
- A deep passion for artificial intelligence and proficiency in leveraging AI tools to accelerate modeling and insight generation.
About OpenAI
Ope