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OpenAIOpenAISan Francisco, CA

Data Scientist, SMB Ads Growth

Lead Data Scientist for SMB Ads Growth at OpenAI, architecting end-to-end analytics for targeting, funnel optimization, campaign measurement, and revenue forecasting. Requires 5+ years in ads/growth analytics, ML model deployment (propensity/LTV), strong SQL/Python/R, and experience in 0-to-1 environments.

293k – 515k/yr
On-site5+ YOEData Science

About the role

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.

Skills

SQLPythonRMachine Learningpropensity modelingltv modelingA/B Testingmulti-touch attributionincrementality frameworksforecasting modelsData Visualizationbehavioral analysis

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