Ssr. Data Scientist:
Responsibilities:
Backend & Data Infrastructure:
- Build and maintain scheduled ingestion pipelines pulling spend, impression, and conversion data from media platform APIs (Google Ads, YouTube, Meta, TikTok, LinkedIn) and first-party sources into BigQuery.
- Design and own the BigQuery warehouse layer (schema, partitioning and clustering, incremental models) so modeling and measurement datasets are reproducible and query-efficient.
- Develop transformation logic that cleans, normalizes, and joins cross-platform data into modeling-ready tables for Meridian (MMM) and geo/matched-market test designs.
- Implement data quality and validation (schema validation, freshness checks, anomaly detection) with alerting so failures and drift are caught before they reach downstream analysis.
- Stand up and maintain Data Manager API and GA4-to-BigQuery integrations to strengthen the first-party signal feeding the measurement stack.
- Manage the supporting GCP infrastructure (scheduling, service accounts, access controls, cost monitoring)



and document lineage and runbooks so the work transfers cleanly off a single owner.

Frontend, Data Delivery & Visualization:
- Build and maintain reporting dashboards (Looker Studio, Looker, GA4 Omni Insights) that surface media performance, measurement results, and test readouts for client and internal audiences.
- Develop the serving and visualization layer that turns MMM, incrementality, and geo-test outputs into decision-ready views.
- Implement parameterized, self-serve filtering (campaign, platform, DMA, date range) so stakeholders pull what they need without ad hoc requests.
- Own serving-layer performance and definitional consistency so dashboards refresh on cadence and reconcile to the warehouse as the single source of truth.

Client & Cross-functional Collaboration:
- Nurture client understanding of the importance of building & testing data-driven strategies.
- Utilize data visualization techniques to explain data mo

📌 Ssr. Data Scientist (Buenos Aires)
🏢 Monks
📍 Buenos Aires