Senior Applied Scientist - Ballari - AdZeta

Description

Senior Applied Scientist

We're not hiring a model-tuner. We're hiring a builder-owner.

• You'll own the entire end-to-end ML pipeline and orchestration layer — from raw data → features → models → deployment → monitoring → activation.
• Ship scrappy v1s fast, then harden to reliable v2s. Zero-to-one, then one-to-many.

Data plumbing & schemas: Ingest and model data across Shopify/GA4/ESP/CRM/ad platforms; define event taxonomy, identity graph, and data contracts.

• Feature engineering: Build offline/online features for pLTV, propensity, and clustering; ensure parity with a feature store (e.g., Feast) and model registry (e.g., MLflow).
• MLOps & deployment: Package models (Docker), deploy to managed services (Vertex/SageMaker/Cloud Run), wire CI/CD (GitHub Actions) and blue-green/rollback patterns.
• Orchestration: Schedule jobs with Airflow/Prefect; manage dependencies, SLAs, retries; design backfills and incremental loads.

You'll be great at this if you have 7-10+ years shipping DS/ML systems to production (not just notebooks).