Data Scientist - Future Opportunity / Talent Pool
Core
Build and maintain data infrastructure and visualization layers for digital marketing and media performance analytics, bridging raw data to decision-ready insights for global brands.
Role type
Semi-Senior Data Scientist (Data Engineering & Analytics focus)
Builds
Data pipelines, warehouse layers, and interactive dashboards for cross-channel media effectiveness measurement.
Domain
Digital Marketing, Media Analytics, Data Engineering
Required skills
SQL, Python, Google Cloud Platform (GCP), BigQuery, Cloud Composer/Airflow, API integration, Data quality control, Dashboarding (Looker Studio/Looker)
Preferred skills
Marketing Mix Modeling (MMM), Incrementality testing, Geo-testing, dbt, Terraform, Multi-cloud experience
Technologies
BigQuery, Cloud Composer, Airflow, Looker Studio, Looker, GA4, Google Ads API, Meta API, TikTok API, LinkedIn API, dbt, Terraform
Responsibilities
Build ingestion pipelines from media platform APIs and first-party sources; Design and manage BigQuery data warehouse layers; Develop transformation logic for MMM and geo-experiments; Implement data quality controls and anomaly detection; Manage cloud infrastructure and documentation; Build interactive reporting dashboards; Collaborate with teams to translate data models into business views.
Seniority
Semi-Senior, hands-on IC