OverviewIn this role, you will design and optimize data products and AI-powered workflows to improve player experience and drive game growth.

You'll collaborate with game and marketing analysts to build scalable data tools and data marts across multiple games.

You will contribute to production-ready pipelines and share best practices with the analytics team.

This is a fast-paced, collaborative environment at a leading mobile game studio.

Compensaciones / BeneficiosHybrid working (home/office)

Relocation support

25 days annual leave + 5 days at Christmas

Private medical insurance

Device of choice (iOS/Android)

Language lessons (English & Spanish)

ResponsabilidadesWrite and optimize complex SQL queries for experimentation and feature engineering on large datasets

Design, build, and maintain cross-game data marts with clean, transformed data for analysts

Develop scalable, reusable code, tools, and frameworks used by multiple game teams





Partner with game analytics teams to co-design and maintain data tools and products across applications

Build and maintain end-to-end AI pipelines to support analysts' day-to-day tasks

Share knowledge on coding and software engineering best practices with the team

Requisitos principalesAdvanced SQL skills with CTEs and query optimization

Experience building and maintaining production data pipelines (Airflow, Docker, S3, CI/CD)

Advanced Python for production analytics solutions

Experience integrating LLMs or generative AI tools

Bachelor in Computer Science or another quantitative field

Collaborative team player, fast learner, proactive, detail-oriented, pragmatic collaborative fast learner proactive

SQL data marts

ETL

📌 Senior Data Scientist - Social Point (Barcelona)
🏢 Social Point
📍 Barcelona