Mission of the Position
As a senior data scientist, you will be the central point between Growth, Monetization, Product and Tech teams. You will design and implement data pipelines, automations and integrations between platforms that support our ecosystem (Clevertap, Stape.io, GA4, AWS, n8n, Make, Airflow and others).
Responsibilities
* Design, implement and maintain data pipelines and automations using n8n, Make (Integromat), Airflow, Python and APIs of third-party services.
* Structure and optimize integrations between marketing, data and operations systems (Google Ads, Meta Ads, Ringba, Stape.io, Clevertap, Sendgrid, etc.).
* Build and monitor dashboards and analytical models in BigQuery, Looker Studio and other tools.
* Develop attribution and performance models to identify opportunities for ROI optimization.
* Work closely with Product & Tech chapters and AD OPS to ensure data integrity, tracking and governance.
* Automate repetitive processes and flows between squads, aiming for operational efficiency and predictive intelligence.
* Act as a technical reference in data and automation, mentoring full and junior analysts.