Data Scientist, SMB Ads Growth

Details

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 inform high-stakes decisions across marketing, product, and sales engineering.

Responsibilities

Full-Funnel Analytics

• 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.

Targeting, Segmentation, and 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, multidimensional 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 the value proposition and help ensure OpenAI remains a key platform for SMB business growth.

Campaign Analytics and Measurement

• Design and implement rigorous multitouch attribution and incrementality frameworks to evaluate channel efficacy.
• Lead the experimental roadmap by formulating hypotheses, executing A/B and multivariate tests, and communicating results to executive leadership.
• Automate business-critical reporting and dashboards to provide real-time visibility during weekly operating reviews.

Forecasting and Planning

• Build high-fidelity revenue and advertiser growth models to project performance against quarterly and annual targets.
• Simulate the impact of growth levers, such as regional expansion and channel activation, to drive strategic resource allocation.

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, including propensity and LTV models, that significantly moved business metrics.
• Strong SQL skills.
• Proficiency 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, such as Meta, Google, or LinkedIn.
• Experience working in 0-to-1 environments.
• Deep passion for artificial intelligence and proficiency in leveraging AI tools to accelerate modeling and insight generation.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. OpenAI is an equal opportunity employer and does not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

Background checks are administered in accordance with applicable law. OpenAI is committed to providing reasonable accommodations to applicants with disabilities.

Benefits

• Base salary range of $293,000–$515,000, plus equity and performance-related bonuses for eligible employees.
• Medical, dental, and vision insurance, with employer contributions to Health Savings Accounts.
• Pre-tax accounts for health, dependent care, and commuter expenses.
• 401(k) retirement plan with employer match.
• Paid parental, medical, and caregiver leave.
• Paid time off, paid company holidays, office closures, and paid sick or safe time as required by law.
• Mental health and wellness support.
• Employer-paid basic life and disability coverage.
• Annual learning and development stipend.
• Daily office meals and eligible meal delivery credits.
• Relocation support for eligible employees.
• Additional benefits may include charitable donation matching and wellness stipends.