Data Scientist, Marketing
Core
Develop measurement frameworks, analytical models, and scalable reporting solutions to inform user acquisition, brand investment, direct marketing, and long-term player growth in a global gaming company.
Role type
Senior IC data scientist (marketing analytics)
Builds
Predictive LTV models, ETL pipelines, marketing mix modeling, and self-serve dashboards for user acquisition and direct marketing teams.
Domain
Mobile gaming, user acquisition, direct marketing, and data infrastructure.
Deliverable
production ML models | dashboards & analysis
Required skills
predictive modeling (pLTV), ETL pipeline development, marketing mix modeling (MMM), SQL, Python, cloud data warehousing (BigQuery), BI tooling (Looker), A/B testing design, privacy-constrained experimentation.
Preferred skills
brand/upper-funnel measurement, lifecycle marketing analytics, segmentation modeling, orchestration tools (Airflow, Composer), global team collaboration.
Technologies
Python, SQL, BigQuery, Looker, Airflow, Composer, ad networks, MMPs, CRM systems.
Responsibilities
Build and maintain ETL pipelines for UA and direct marketing data; develop predictive LTV models for campaign optimization; contribute to marketing mix modeling and aggregate measurement; support testing frameworks for incrementality in privacy-constrained environments; build scalable dashboards for self-serve analytics; automate recurring reporting and insight generation.
Seniority
Mid-level, hands-on IC
