VP of Data Science

As Attain's VP of Data Science, you'll own the science behind our products, and be the person clients and partners trust when they want to stress-test our numbers. Attain's differentiation isn't just that we have data; it's that our methodologies are defensible. You'll set the standard for what "defensible" means and be comfortable being the one in the room when a sophisticated buyer or a partner's data science team wants a peek under the hood to understand how our products work.

This role reports into the SVP of Engineering and sits at the intersection of methodology, product, and client trust. You'll work closely with product, engineering, and ML teams on how we model and validate at scale, and just as closely with commercial teams on how that science shows up in front of clients.

• You have deep expertise in causal inference, incrementality, attribution, and media mix modeling, and the statistical grounding (Bayesian methods, experimental design) to defend it under pressure
• You've worked hands-on with large-scale consumer datasets (transaction, purchase, panel, or identity data) and know the real tradeoffs in imputation, matching, coverage gaps, and bias correction