About the role
Build marketing measurement models, ETL pipelines, and AI-driven analytics to inform acquisition and CRM.
- •Scopely is hiring a Data Scientist, Marketing to build measurement frameworks, analytical models, and scalable reporting supporting UA, brand, and direct marketing globally, with strong emphasis on AI-driven solutions.
- •Key Responsibilities Build and maintain ETL pipelines ingesting marketing and UA data.
- •Develop predictive LTV (pLTV) and forecasting models for UA optimization.
- •Support marketing mix modeling, incrementality tests, and experimentation frameworks.
- •Create scalable dashboards and standardized reporting for self-serve analytics.
- •Leverage AI/ML tools to automate analysis and improve workflows.
- •Requirements 1-5 years in data science or marketing analytics.
- •Proficiency in SQL and Python for analysis.
- •Experience with cloud data warehouses (e.g., BigQuery) and BI tools (e.g., Looker).
- •Knowledge of marketing metrics (CAC, ROAS, retention, LTV) and measurement techniques.
Tech stack
SQLPythonBigQueryLookerCRM
Match insights
Tech:SQL, Python, BigQuery, Looker, CRM
Level:Mid
Location:San Francisco, United States