Hybrid Data Scientist - Player & Quality Insights at 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 approachesConvert design questions into applicable data insights.Create dashboards to provide visibility into player experience metrics.QualificationsPostgraduate 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. Apply Now