Data Scientist

Electronic Arts Inc. is a leading global interactive entertainment software company. EA delivers games, content and online services for Internet-connected consoles, personal computers, mobile phones and tablets.

The Data Scientist position is part of the Data Science team within the Global Analytics and Insights group in Electronic Art’s Global Marketing Organization. A successful candidate will use his or her expertise in statistical modeling and machine learning to drive critical decisions in a cross-functional environment. For a more senior candidate there will be opportunities for project management and mentoring of junior data scientists.

* Perform advanced statistical/machine learning analyses on customer databases and other sources * Research, design, implement and validate models and cutting edge algorithms to analyze diverse sources of data * Manage and deliver business-driving analytical projects * Present results to business leaders, product managers and other analysts * Provide expertise on quantitative modeling for the broader analytics group * Communicate actionable results and findings derived from data throughout the organization in a clear, concise way * Collaborate with other areas of the business on long-term projects * Learn, implement and share new methodologies

* Master’s degree required, strongly quantitative graduate degree preferred in Computer Science (with emphasis on Machine Learning), Statistics, Marketing (with a quantitative focus), Sociology (with a quantitative focus), Economics, Mathematics * Demonstrated experience applying Data Science methodologies to real world problems * Experience in scaling up smaller projects and sharing work collaboratively across a wider team * The ability to produce re-usable work that can be shared across individuals and teams * Expert status in analyzing extremely large, complex, multi-dimensional data sets with a variety of tools * Accomplished in use of R or other statistical programing environment to create high performance predictive models * Programming experience in a system programming language such as Python, C/C++, Java * Experience using in SQL to query databases * Experience with big data technologies such as Hadoop, MapReduce, Hive, Pig is a big plus * Expertise and practical experience with predictive modeling, machine learning, survival analysis, consumer lifetime value models, clustering, data reduction techniques and customer/product segmentation * Experience with attribution models, media mix models and forecasting using time series and individual level data * Sufficient data warehouse and non-relational data techniques knowledge to work effectively with engineering partners * Ability to communicate insights using PowerPoint, Word and Excel to technical and non-technical audiences