Senior Applied Scientist (Data Science & Ml)

Company Description

AdZeta turns insights from your data lake to profit signals that seamlessly integrate with your ad stack. We unify your first-party data, predict lifetime value, activate high-value signals, and prove revenue impact— governed, auditable and real-time. AdZeta was built on the premise that data without activation means nothing.

Role Description :

• We’re not hiring a model‑tuner. We’re hiring a builder‑owner .
• The ideal candidate loves taking ownership, accountability and thrives in 0 → 1 execution.
• You'll own the entire end‑to‑end ML pipeline and orchestration layer — from raw data → features → models → deployment → monitoring → activation. You’ll ship scrappy v1s fast, then harden to reliable v2s. Zero‑to‑one, then one‑to‑many.
• Have prior experience working in adtech / martech (highly preferred).

What you’ll do

define event taxonomy, identity graph, and data contracts.

ensure parity with a feature store (e.G., Feast) and model registry (e.G., MLflow).

design backfills and incremental loads.

teach others to self‑serve.

30

quick wins on data reliability.

reverse ETL wired for adesign partner.

draft case study.

You’ll be great at this if you

Nice to Have :

Why AdZeta?

Founding‑team impact, meaningful equity , and the chance to build the ML backbone of a category‑defining product.

How to Apply?

DM with : LinkedIn / GitHub, 2–3 bullets on your best 0→1 ML build (problem → approach → impact), and a link to a repo / case study (if public).