Data Scientist II, Marketing

Role overview As a Marketing Data Scientist, you will guide growth investment with analysis of customer behavior, campaign results, and marketing channels. You’ll work closely with marketing and other business teams, translating complex or uncertain questions into evidence-based recommendations and building analytical tools that support sustained growth.

Responsibilities - Lead analysis of growth marketing, including audience definition, campaign measurement, budget forecasting, and allocation. - Evaluate campaign performance and recommend improvements to individual campaigns and the overall channel mix. - Design and interpret experiments and quasi-experiments to estimate the effects of marketing decisions. - Work with marketing technology, product, and engineering partners to develop and assess capabilities such as local-market insights and customer lifetime value bidding. - Build reusable analytical tools and frameworks with cross-functional teams. - Maintain and document reliable data tables and metrics that support self-service analysis.

Requirements - Bachelor’s degree in a quantitative field such as statistics, mathematics, data science, or economics; an advanced degree is a plus. - At least three years of marketing data science experience, with knowledge of digital marketing measurement and optimization. - Advanced SQL skills, proficiency in Python or R, and experience with a business intelligence tool such as Looker. - Experience analyzing large, imperfect datasets and applying statistical or machine learning methods to business problems. - Strong analytical judgment, including the ability to work through ambiguity and find useful signals in noisy data. - Clear communication and collaboration skills, with the ability to explain findings and influence partners.