GENERAL INFORMATION

Locations: Vancouver, British Columbia, Canada
Role ID
209736
Worker Type
Regular Employee
Studio/Department
EA Studios - Quality Verification
Work Model
Hybrid

DESCRIPTION & REQUIREMENTS

Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen.
The Player & Quality Insights team focuses on analyzing player behaviour and organizing feedback events to help game teams develop high-quality games that meet player expectations. As a data-driven team, we rely on data analysis to identify opportunities and assess our efforts. As a Data Scientist, you will convert data into applicable insights that guide strategic decisions. Reporting to the Director of Player & Quality Insights Data, you will innovate new methodologies to understand our players and directly improve the quality of our games.

QUALIFICATIONS

• Postgraduate degree in social or behavioural science, computer science, statistics or related fields, with 2+ years of equivalent experience.
• Experience with SQL.
• Proficiency in R, Python, or other statistical programming languages.
• Experience with inferential statistics and modeling.
• Expertise in storytelling with data for decision-makers.
• Conceptual thinking skills to integrate player information for innovative measurement plans.

• Collaborate with team members across multiple disciplines to find insights from data on game features, user behaviours, sentiment, and player engagement patterns to enhance game quality.
• Analyze player data from large-scale sources using statistical models and automated reporting systems.
• Design and refine metrics that inform game development decisions based on player behaviours and sentiment.
• Identify patterns related to cultural trends and gameplay progression.
• Translate statistical insights into business decisions.
• Address analytical challenges independently and innovate new methodological approaches
• Convert design questions into applicable data insights.
• Create dashboards to provide visibility into player experience metrics.