Senior Data Scientist – Marketing Data Infrastructure

About the role

The Data Scientist will design, build and maintain data pipelines and visualization layers that support digital‑marketing measurement for Monks' clients. Working closely with Analytics, Data Science and Solutions Engineering teams, the role turns raw media data into decision‑ready insights.

Key responsibilities

• Build and schedule ingestion pipelines from media platform APIs (Google Ads, YouTube, Meta, TikTok, LinkedIn) into BigQuery.
• Design and own the BigQuery warehouse schema, partitioning, clustering and incremental models.
• Develop transformation logic to clean, normalize and join cross‑platform data for MMM and geo‑test designs.
• Implement data quality checks, alerts and monitoring for pipeline health.
• Create and maintain Looker Studio/Looker dashboards that surface media performance and test results.

Required profile

• Degree in Computer Science, Mathematics, Statistics, Physics or a related field.
• 2+ years of experience in data engineering, analytics engineering or data warehousing.
• Proven ability to translate business problems into data solutions and to communicate findings to clients.

Required skills

• Google Cloud Platform – BigQuery, Cloud Composer/Airflow, security and access controls.
• SQL and Python for data manipulation and transformation.
• Experience extracting data from media platform APIs (Google Ads, Meta, TikTok, LinkedIn).
• Building dashboards with Looker Studio, Looker or GA4.
• Data quality and validation techniques (schema validation, freshness checks, anomaly detection).