Ssr. Data Scientist
Core
Build and maintain data infrastructure, visualization layers, and pipelines for digital marketing use cases, bridging raw data to decision-ready insights for media performance measurement.
Role type
Senior Data Scientist / Analytics Engineer
Builds
Data pipelines, BigQuery warehouse layers, and interactive dashboards for media performance and measurement.
Domain
Digital Marketing, Data Engineering, Cloud Infrastructure
Required skills
SQL, Python, BigQuery, GCP (Cloud Composer/Airflow), API integration, Data Warehousing, Dashboarding (Looker/GA4)
Preferred skills
Terraform, dbt, Marketing Mix Modeling (MMM), Incrementality testing, AWS/Azure
Technologies
BigQuery, Google Cloud Platform, Looker Studio, Looker, GA4, Airflow, Cloud Composer, Terraform, dbt
Responsibilities
Build ingestion pipelines from media platform APIs (Google Ads, Meta, TikTok, LinkedIn) into BigQuery; Design and maintain BigQuery warehouse schema and modeling datasets; Develop transformation logic for cross-platform data; Implement data quality validation and anomaly detection; Build reporting dashboards for media performance and test readouts; Collaborate with clients to explain data models and drive data-driven strategies.
Seniority
Senior, hands-on IC