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Data Scientist - EA

Electronic Arts (EA)


Location:
Redwood City, California
Date:
03/16/2017
Categories:
  • Data Scientist
  • Data Analytics
  • Statistician
  • Business Intelligence
Electronic Arts (EA)
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Job Details

Position Overview

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.

 

Responsibilities

  • Perform advanced statistical/machine learning analyses on customer databases and other sources.
  • Use big data technologies to scale predictive models to millions of players.
  • 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.

Requirements

Attributes

  • Eager to use data for insights and has a demonstrated passion for applying data science to make business critical decisions and recommendations.
  • Hypothesis driven – uses data to test ideas rigorously and objectively.
  • Able to create compelling communication for executives.
  • Strong programming skills and a passion for data science.
  • Ability to communicate insights to technical and non-technical audiences.
  • Flexible and adaptable while maintaining positive attitude.
  • Self starter with passion, energy, enthusiasm to drive results and affect meaningful change.
  • Views challenges as opportunities; tenacious and focused.
  • Solution oriented, creative problem solver.
  • A team player who is able to work collaboratively within the group and across business units/functions.
  • Ability to execute multiple projects and drive key business results under tight deadlines.

 

Background

  • Master’s degree required, strongly quantitative graduate degree preferred in Computer Science (with emphasis on Machine Learning), Statistics, 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.
  • Strong SQL skills and demonstrated ability in analyzing extremely large, complex data sets.
  • Accomplished in use of R or other statistical programing environments to create high performance predictive models.
  • Practical experience with predictive modeling, machine learning, survival analysis, consumer lifetime value models, clustering, data reduction techniques and customer/product segmentation.
  • Experience with model production in Java, Python, R or Scala.
  • Sufficient data warehouse and non-relational data techniques knowledge to work effectively with engineering partners.
  • Experience with any of the following is a big plus:
    • Model production in Spark
    • Big data technologies such as Hadoop, MapReduce, Hive, Pig
    • Application deployment using AWS, Virtual Machines, or Docker

 

EA is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status or veteran status. We will also consider for employment qualified applicants with criminal records in accordance with applicable law.