Electronic Arts

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.

Your Responsibilities:

• 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.

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.