Data Scientist | Catalog Games
Hace 3 días
Barcelona, Cataluña, España
King Digital Entertainment
Jornada completa
Gratis con email o Google
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Experteer Overview
In this Data Scientist role, you will shape game experiences by designing and analyzing experiments, building predictive models, and delivering actionable insights to cross-functional teams. You’ll work with game designers and developers to inform feature decisions and optimize player engagement at scale. You’ll communicate findings through clear visuals and stories, influencing decisions across the Catalog Games portfolio. This position offers a chance to impact millions of players while evolving data science methodologies within a collaborative analytics community.
Compensaciones / Beneficios
Design, analyze, and present A/B test results to guide feature and game development
Conduct rigorous data explorations and develop models to uncover opportunities
Deliver clear visualizations and tailored presentations for diverse audiences
Ensure data quality and accessibility to support decision-making
Support evolution of Catalog Games' data science methodologies and tooling
Collaborate across games to share insights, tools, and learnings for the broader portfolio
Break down abstract problems into concrete analytical questions Responsabilidades
Strong background in applied statistics, experimentation, and predictive modeling
Advanced proficiency in SQL for large-scale datasets (300M+ players)
Proficiency in Python or R for statistical analysis and automation
Deep understanding of statistical methodologies and experimental design
Experience with big data platforms (e.g., GCP/BigQuery, AWS)
Familiarity with data visualization tools (Looker, Tableau)
Knowledge of version control (Git) and collaborative programming Requisitos principales •
Design, analyze, and present A/B test results to guide feature and game development
Conduct rigorous data explorations and develop models to uncover opportunities
Deliver clear visualizations and tailored presentations for diverse audiences
Ensure data quality and accessibility to support decision-making
Support evolution of Catalog Games' data science methodologies and tooling
Collaborate across games to share insights, tools, and learnings for the broader portfolio
Break down abstract problems into concrete analytical questions Responsabilidades
Strong background in applied statistics, experimentation, and predictive modeling
Advanced proficiency in SQL for large-scale datasets (300M+ players)
Proficiency in Python or R for statistical analysis and automation
Deep understanding of statistical methodologies and experimental design
Experience with big data platforms (e.g., GCP/BigQuery, AWS)
Familiarity with data visualization tools (Looker, Tableau)
Knowledge of version control (Git) and collaborative programming Requisitos principales •