Data Engineer

infoAbout the opportunity

We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth. We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life.

psychologySkills and experience required

• check_circleData analysis - Identify, source, examine, clean, visualize and prep datasets for statistical analysis, perform EDA and apply statistical techniques to examine and interpret large datasets, identify trends, patterns and
• check_circleModeling – Create or apply predictive and prescriptive models to datasets and perform model fit tests
• check_circleCommunication - Present complex analytical insights to Executives in business-friendly language through visual data products, reports and presentations and translate findings into their domain specific context
• check_circlePartner Cultivation – build a business network with teams outside the WWCE department to understand requirements, define problem statements and create analytical approaches to support strategic decisions
• check_circleExperimentation – design interventions based on prescriptive models and provide a plan for implementing the experiments and measure the results and finally provide recommendations for next steps
• check_circleUnderstanding of current challenges surrounding AI: demonstrate understanding of concepts such as AI ethics, fairness, data leakage, bias and model drift
• check_circleMaster's in Statistics, Operations Research or related field (we will consider a Bachelor's degree in Statistics with relevant experience)
• check_circleTechnical skills