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Game Security Data Scientist

위치: Orlando, FL, USA

참고

더 이상 지원할 수 없는 직책입니다.

Requisition Number: 150335

Position Title: Data Scientist II

External Description:

Position Overview

There are millions of EA Sports players generating billions of events every day. We would like to use the high-volume of data streams to detect and anticipate Security threats and issues as soon as possible. The Game Security Data Scientist will be tasked with using big data, machine learning and visualization techniques to find patterns and correlations that will help keep the EA Sports platform safe and secure.     

This role is at the intersection of security and data science and so the candidate should be able to adopt a security mindset to predict the adversaries’ moves.  The candidate should be able to leverage various statistical, AI, and machine learning methods to detect anomalies and fraudulent behavior.

 

Areas to Explore:

  • Detect patterns associated with fraudulent accounts, and anomalous behavior.
  • Setup monitoring and alerting mechanisms.
  • Visualize Big Security Data in a meaningful way
  • Social network analysis (SNA)

 

Deliverables:

Depending on the applicant’s skill, aptitude and interest:

  • Machine learning algorithm that successfully detects fraud and other security threats
  • Data visualization tools which helps detect anomalies and other threats
  • Report evaluating the success or failure of the experiment(s), and ideas for next steps

 

 

Required Experience:

Depending on the applicant’s skill, aptitude and interest:

  • Experience with SQL and no-SQL databases.
  • Applied machine learning experience and familiarity with standard techniques, relevant tools and libraries.
  • Ability to think and solve scientific problems and invent new methods.
  • Familiarity with programming languages such as Python, Java, C/C++, Scala, etc.

 

Preferred Experience:

  • A Master or PhD in Computer Science, Mathematics, or Electrical Engineering with specialization in machine learning, information security, artificial intelligence, decision support/making or other related fields.
  • Familiarity with Big Data tools such as Splunk, Hadoop, Spark, etc.
  • Exposure to Security in areas such as network/software security and a good understanding of security data, attack vectors and more.
  • Experience with Visualization tools and libraries such as Tableau, SAS VA, Matplotlib, etc.
  • Software development experience.

We Thought You Might Also Want to Know:

  • We love to brag about our great perks like comprehensive health and benefit packages, tuition reimbursement, 401k with company match and, of course, free video games. And since we realize it takes world-class people to make world-class games, we offer competitive compensation packages and a culture that thrives off of creativity and individuality. At EA, we live the “work hard/play hard” credo every day.
  • More about our location: https://careers.ea.com/locations/usa/orlando

 

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Community / Marketing Title: Game Security Data Scientist

Company Profile:

Electronic Arts Inc.는 세계를 선도하는 인터랙티브 엔터테인먼트 소프트웨어 기업입니다. EA는 인터넷 콘솔, 개인용 컴퓨터, 휴대전화, 태블릿용 게임과 콘텐츠 및 온라인 서비스를 제공합니다.

EEOText: EA는 균등한 기회의 제공을 실천합니다. 모든 채용은 인종, 피부색, 출신 국가, 혈통, 생물학적/사회적 성별, 성 정체성 또는 표현, 성적 성향, 나이, 유전 정보, 종교, 장애 여부, 질병 유무, 임신 여부, 혼인 상태, 가족 상황, 군 복무 여부, 또는 법으로 금지된 기타 요인을 고려하지 않고 결정됩니다. 또한, 해당 직책에 합당한 능력을 갖추고 있다면 범죄 기록이 있는 지원자도 관련 법률을 준수하는 방식으로 채용 여부를 고려합니다. EA는 관련 법률에서 명시하는 대로 업무 공간에 장애가 있는 입사 지원자 또는 예정자를 위한 시설을 마련해두고 있습니다.

Days Open: 193

Can this position be remote?:

EEO Employer Verbiage:

EA는 균등한 기회의 제공을 실천합니다. 모든 채용은 인종, 피부색, 출신 국가, 혈통, 생물학적/사회적 성별, 성 정체성 또는 표현, 성적 성향, 나이, 유전 정보, 종교, 장애 여부, 질병 유무, 임신 여부, 혼인 상태, 가족 상황, 군 복무 여부 등의 요인을 고려하지 않고 결정됩니다. EA는 관련 법률에서 명시하는 대로 업무 공간에 장애가 있는 입사 지원자 또는 예정자를 위한 시설을 마련해두고 있습니다.

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