You have a deep mathematics and statistics background with a bent toward using those skills in a data-driven role. You also have a passion for gaming. EA is looking for experienced data science practitioners who are ready to dig in to consumer data. You will be responsible for building advanced predictive models, providing thought leadership across EA in regard to analytics best practices, and identifying potential opportunities for innovation and application of the latest statistical methods in order to inform EA’s business and communications with their players. Work closely with game studios, product marketing, business development and the executive team to drive insights and execution that produce better games and delighted players.
RESPONSIBILITIES
•    To work collaboratively with analysts, game producers, product managers, and central stakeholders to present analyses and findings that will provide actionable insight into the game to improve the acquisition, engagement and monetization of our audience.
•    Produce statistical and machine learning models that inform how we communicate with our players
•    Drive improvement in our methodologies, systems and processes
•    Prepare and present results of modeling efforts and performance to senior management
•    Be actively engaged in assigned products and develop a deep understanding of game mechanics including microtransactions, gameplay and economy

Requirements

•    B.A./B.S. degree in Statistics, Mathematics, Computer Science, Economics, Mathematics, or similar quantitative field
•    Quantitative oriented Masters Degree or Ph.D  highly preferred
•    Minimum 7 years of experience in analytics
•    5+ years of experience with building predictive models in R, Python, or other computer programming languages
•    Strong history of identifying opportunities for developing predictive models to meet business needs
•    Expertise in machine learning and statistical analysis approaches such as classification, regression, structural equation modeling, etc.