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Data Scientist - EA

Electronic Arts (EA)


Location:
Redwood City, California
Date:
07/06/2017
2017-07-062017-09-05
Categories:
  • Data Analytics
  • Data Scientist
  • 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 applied 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

  • Research, design, implement and validate models and cutting edge algorithms to analyze diverse sources of data.
  • Use big data technologies to scale predictive models to millions of players.
  • Manage and deliver business-driving analytical projects.
  • Develop tools and libraries 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.
  • 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, preferred in Computer Science, Statistics, 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.
  • Expert status in analyzing extremely large, complex, multi-dimensional data sets with a variety of tools
    • Strong programming experience in a system programming language such as C/C++ or Java.
    • Familiarity with at least one scripting language: R, Python, or Scala.
    • Experience using SQL to query databases.
  • Experience with any of the following is a big plus:
    • Big data technologies such as Hadoop, MapReduce, Hive, Pig
    • Model production in Spark
    • Application deployment using AWS, Virtual Machines, or Docker
  • 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

     

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.