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
Deliverable
production ML models | product features | dashboards & analysis
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