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Ssr. Data Scientist

The Data Scientist will help develop and maintain our data infrastructure and visualization layers for digital marketing use cases, working closely with our Analytics, Data Science, and Solutions Engineering teams. This role bridges the gap between raw data and decision-ready insights, building robust pipelines and interactive dashboards to measure media performance. The candidate can expect to participate in all technical phases of data engineering and client projects, including data discovery, pipeline construction, warehouse modeling, and reporting.



It is also expected that they will participate in project planning, task estimation, and making data-driven recommendations for clients.

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

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