Incrementality & Media Mix Modeling Mmm Data Analyst Patna

Vysta PMG manages $200 M+ in annual Google and You Tube 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, Tik Tok, 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 $500 K+/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 (Big Query, 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
- Robust Bayesian fundamentals — hands-on experience with Meridian, Robyn, Py MC, or a homegrown framework
- Robust Python, SQL, and Big Query
- 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 $200 M+ in active spend, and the work ships directly into client conversations — this is not a research role parked in a notebook. Apply on Kit Job: kitjob.in/job/4mowiv