Data Scientist, SMB Ads Growth
Core
Architect end-to-end analytics for SMB Ads growth, driving strategy for targeting, funnel optimization, and performance forecasting to support high-stakes marketing, product, and sales decisions.
Role type
Lead Data Scientist (SMB Ads Growth)
Builds
Propensity models, look-alike frameworks, segmentation architectures, multi-touch attribution systems, revenue forecasting models, and automated reporting dashboards.
Domain
B2B Advertising / SMB Growth / Machine Learning
Deliverable
production ML models | dashboards & analysis
Required skills
Propensity modeling, LTV modeling, funnel analysis, multi-touch attribution, A/B testing design, revenue forecasting, SQL, Python, R, data infrastructure building
Preferred skills
Experience at scaled ads platforms (Meta, Google, LinkedIn), 0-to-1 environment experience, AI tool proficiency for modeling acceleration
Technologies
SQL, Python, R
Responsibilities
Establish foundational growth metrics and North Star KPIs; diagnose funnel friction points via behavioral analysis; engineer propensity and look-alike models for high-LTV SMB advertisers; design multi-touch attribution and incrementality frameworks; lead experimental roadmap with A/B and multivariate tests; build high-fidelity revenue and advertiser growth models
Seniority
Senior, hands-on IC
