Workplace
On-site
Employment
Full-Time
Published
Jul 30, 2026
Closes
No date supplied
The 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 proj
Requirements
Department: Data Science; Team: Data Science