Data Scientist, SMB Ads Growth
OpenAI· Data Science
San Francisco$293k - $515kFull-timePosted 2mo ago
About the role
Lead Data Scientist for SMB Ads Growth responsible for end-to-end analytics, targeting, funnel optimization, and forecasting to accelerate growth for OpenAI’s SMB ads ecosystem.
Responsibilities
- Establish 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.
- Engineer sophisticated propensity models and look-alike frameworks to identify and capture high-LTV SMB advertisers.
- Own lifecycle of target list construction, including data enrichment, multi-dimensional prioritization, and granular performance tracking.
- Develop robust segmentation architectures for hyper-personalized outreach across paid, partnership, and outsourced channels.
- Synthesize market signals to refine value proposition and keep OpenAI as a key SMB platform.
- Design and implement multi-touch attribution and incrementality frameworks to evaluate channel efficacy.
- Lead the experimental roadmap with hypotheses, A/B and multivariate tests, and communicate results to executives.
- Automate critical reporting and dashboards for real-time visibility during weekly reviews.
- Build high-fidelity revenue and advertiser growth models to project performance against targets.
- Simulate impact of growth levers like regional expansion and channel activation for resource planning.
Qualifications
- 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 moved business metrics.
- Strong SQL; proficient in Python or R.
- Experience thriving in ambiguous 0-to-1 environments with hands-on data infrastructure/build processes.
Skills
Required:SQLPython or RMachine Learning (propensity, LTV)A/B and multivariate testingCross-functional collaboration
Benefits
- Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
- Pre-tax Health FSA, Dependent Care FSA, and commuter accounts
- 401(k) retirement plan with employer match
- Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
- Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
- 13+ paid company holidays and additional paid closures, plus paid sick time as required by law
- Mental health and wellness support
- Employer-paid basic life and disability coverage
- Annual learning and development stipend
- Daily meals in offices and meal delivery credits
- Relocation support for eligible employees
- Charitable donation matching and wellness stipends (additional fringe benefits)
Last updated Aug 6, 2026. Interested? Apply on the company site.
About OpenAI
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