Requirements

Hands-on experience in marketing science — including building marketing mix models, causal inference, and incrementality measurement
Experience designing and executing marketing experiments
Proficiency in applying ML techniques to marketing and customer datasets
Strong proficiency in Python and data science libraries (pandas, NumPy, scikit-learn, statsmodels, or equivalent)
Strong command of SQL for querying and analyzing large-scale marketing and media datasets

Nice to Haves

Experience with paid media data across channels — paid digital, in-store media, social, and other performance marketing platforms
Experience with awareness and performance marketing measurement
Actively follows industry trends in marketing science and media measurement — aware of emerging methodologies and tools and brings those perspectives into the team
Experience applying Generative AI to marketing workflows — including budget optimization, automated creative analysis, or campaign performance reporting
Advanced degree (M.S. or Ph.D.) in Statistics, Machine Learning, Econometric, Marketing Science, or a related quantitative field
Strong written and verbal communication skills — able to tell compelling stories with data to both technical and non-technical audiences