Data Scientist — Incrementality & Media Mix Modeling
Vysta PMG manages $200M+ in annual Google and YouTube ad spend across 150+ ecommerce brands. We're hiring a Data Scientist to own the measurement stack that proves what our spend is actually driving.
Most ecommerce brands don't trust the ROAS their ad platforms report — and they're right not to. Last-click attribution overstates what paid is contributing, platform models double-count across channels, and the number on the dashboard rarely matches the number on the P&L. We're building the proof layer underneath all of it: geo-based incrementality testing, conversion lift studies, and Media Mix Models that reconcile Google with Meta, TikTok, and the rest of the funnel.
What You'll Own
- Design and run geo holdout incrementality tests across top-spending client accounts
- Stand up our MMM pipeline — white-labeled on Measured initially, then proprietary on Google Meridian for S-tier accounts spending $500K+/month
- Translate model output into client-facing proof of incremental impact, working alongside senior media buyers and account leads
- Partner with our engineering team on the data infrastructure that feeds the models (BigQuery, dbt)
- Build the test design playbook that scales across 150+ accounts without requiring you in every conversation
What We're Looking For
- 4+ years running incrementality and/or MMM in production at an agency, brand, or measurement platform
- Strong Bayesian fundamentals — hands-on experience with Meridian, Robyn, PyMC, or a homegrown framework
- Strong Python, SQL, and BigQuery
- Working knowledge of the Google Ads and Meta ecosystems
- Ability to explain causal inference to a media buyer or client in plain English
Why This Role Is Different
Cross-account data from 150+ ecommerce brands is something no in-house team and no point-solution vendor can replicate. The frameworks you build get applied to $200M+ in active spend, and the work ships directly into client conversations — this is not a research role parked in a notebook.