# Data Scientist, SMB Ads Growth

**Company:** [OpenAI](https://hotfix.jobs/companies/openai)
**Location:** San Francisco, CA
**Role:** Data Science
**Salary:** $293k – $515k/yr
**Experience:** 5+ years
**Skills:** SQL, Python, R, Machine Learning, propensity modeling, ltv modeling, A/B Testing, multi-touch attribution, incrementality frameworks, forecasting models, Data Visualization, behavioral analysis
**Posted:** 2026-07-30

> 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.

## Job Description

## 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.

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