VP of Data Science
Attain · Chicago, IL; New York, NY; Redwood City, CA
About this role
**VP of Data Science** **About Attain** Built for consumers and companies alike. We empower consumers to leverage their data in exchange for modern financial services, while helping businesses achieve better outcomes through ethical data sharing. **About the Role** Own the science behind our products and be the trusted voice when clients and partners want to understand how our methodologies work. You'll set standards for defensible data science, work at the intersection of methodology, product, and client trust, and partner closely with product, engineering, ML, and commercial teams. **Key Responsibilities** • Define and maintain standards for measuring impact, proving causality, and validating modeled data • Own modeling for census balancing, attribution, audience targeting, and incrementality • Set documentation standards for core calculations and implementation consistency • Represent Attain's methodology to internal and external stakeholders • Translate advanced methods into product decisions and business recommendations • Develop and lead a team of data scientists • Partner with external consultants on domain-specific expertise **You're a Great Fit If** • Deep expertise in causal inference, incrementality, attribution, and media mix modeling • Hands-on experience with large-scale consumer datasets (transaction, purchase, panel, or identity data) • Built your career in AdTech/MarTech with proven methodology ownership • Strong communicator across technical and commercial audiences • Proactively disclose model limitations rather than defend them after the fact • Excited to lead a team combining methodological depth with product and client mindset **Preferred Qualifications** • 10+ years in data science within AdTech/MarTech; 4+ years leading a team • Advanced degree (MS/PhD/MBA) in economics, statistics, or related quantitative field • Experience presenting and defending approaches to external clients or partners • Strong Python and modern ML/statistical tooling; comfortable with cloud data stacks • Experience with panel-based or modeled consumer data **We'd love to hear from you!** Apply even if your experience doesn't match every detail—we keep resumes on file for future opportunities.
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