OpenAI1 день назад
Data Scientist, SMB Ads Growth
Зарплата не указана
Полная занятостьSan Francisco
Обязанности
- 01Establish the foundational growth metrics and North Star KPIs for the SMB Ads ecosystem, optimizing the journey from lead acquisition to long-term retention
- 02Diagnose funnel friction points through advanced behavioral analysis and quantify the incremental revenue impact of proposed optimizations
- 03Partner cross-functionally to transform complex data findings into actionable, high-priority roadmaps for product and marketing stakeholders
- 04Engineer sophisticated propensity models and look-alike frameworks to identify and capture high-LTV SMB advertisers
- 05Own the lifecycle of target list construction, including advanced data enrichment, multi-dimensional prioritization, and granular performance tracking
- 06Develop robust segmentation architectures that power hyper-personalized outreach across paid, partnership, and outsourced (BPO) channels
- 07Synthesize market signals to refine our value proposition, ensuring OpenAI remains a key platform for SMB business growth
- 08Design and implement rigorous multi-touch attribution and incrementality frameworks to evaluate channel efficacy
- 09Lead the experimental roadmap: formulate hypotheses, execute A/B and multivariate tests, and communicate results to executive leadership
- 10Automate business-critical reporting and dashboards to provide real-time visibility during weekly operating reviews
- 11Build high-fidelity revenue and advertiser growth models to project performance against quarterly and annual targets
- 12Simulate the impact of various growth levers—such as regional expansion and channel activation—to drive strategic resource allocation
Требования
- 015+ years of experience in data science or growth analytics within an ads platform, marketplace, or high-growth B2B environment
- 02Proven track record of deploying machine learning models (propensity, LTV) that significantly moved business metrics
- 03Strong SQL; proficient in Python or R
- 04Experience thriving in ambiguous "0-to-1" environments, with a hands-on approach to building data infrastructure and processes
- 05Prior experience at a major scaled ads platform (e.g., Meta, Google, LinkedIn)
- 06Experience working in 0-1 environments
- 07A deep passion for artificial intelligence and proficiency in leveraging AI tools to accelerate modeling and insight generation