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通用信息

地点:Vancouver, British Columbia, Canada 
  • 地点: Vancouver
  • 州:
  • 国家/地区: Canada


角色 ID
209048
工作人员类型
Regular Employee
工作室/部门
Marketing
弹性工作安排
Hybrid

描述和要求

Electronic Arts 打造更高层次的娱乐体验,激励世界各地的玩家和粉丝。在这里,每个人都是故事的主角。活跃社群,畅联全球。这里充满创造力,鼓励新观点,注重好创意。这是一支人人都能让游戏成为现实的团队。

The Office of the CXO drives effectiveness across the EA Experiences organization with a focus on excellence in business operations, comprehensive fan intelligence, plus internal technology and business solutions. We are horizontal connectors empowering teams across the Experiences organization with the strategic prioritization, investments, resources, data, insights, and technology required to accelerate business outcomes in service of our goals.

And we want you to join us. We are hiring a Decision Scientist for our CXO Fan Intelligence Data & Analytics team, reporting to the Director of Data Science & Information Architecture. This is an individual contributor role with no managerial responsibilities.

Responsibilities

  • Data analysis - Identify, source, examine, clean, visualize and prep datasets for statistical analysis, perform EDA and apply statistical techniques to examine and interpret large datasets, identify trends, patterns and correlations
  • Modeling – Create or apply predictive and prescriptive models to datasets and perform model fit tests
  • Communication - Present complex analytical insights to Executives in business-friendly language through visual data products, reports and presentations and translate findings into their domain specific context
  • Stakeholder Cultivation – build a business network with teams outside the WWCE department to understand requirements, define problem statements and create analytical approaches to support strategic decisions
  • Experimentation – design interventions based on prescriptive models and provide a plan for implementing the experiments and measure the results and finally provide recommendations for next steps
  • Understanding of current challenges surrounding AI: demonstrate understanding of concepts such as AI ethics, fairness, data leakage, bias and model drift

Required Qualifications

  • Master’s in Statistics, Operations Research or related field (we will consider a Bachelor’s degree in Statistics with significant relevant experience)
  • Technical skills
    • Expert in at least one Statistical Programming Language such as R or Python
    • Experience with relational and distributed databases
    • Experience with visualization tools such as RShiny, Streamlit, Tableau
  • Soft skills
    • Customer Advocate – You care what kind of experience our players are having when their games or services don't work and you want to play your part in improving it
    • Programmer – You're an expert at writing functions and identifying the right language for the right situation
    • People Analyst – You understand that your work contributes to improving people's lives not predict when a machine is going to break down
    • Learner – You are a regular on Stack Overflow, know how to take apart a Vignette and are always looking for a new project that allows you to put that cutting edge technique to good use you read about last month
    • Documentation Expert – You know just the right level of documentation to help yourself and the person who takes over after you understand what you did, when and why
    • Teacher & Student – You are patient and can field questions from team members around better coding practices or statistics related problems but you also never stop learning and understand the industry is constantly moving and you need to keep up
    • Experiment Designer – You can create up an A/B test in your sleep, but you don't let a less than ideal A/B test set up stop you from finding some answers
    • Top notch communicator – You can turn data into pictures that people understand, you can boil down 3 months of work into 3 important takeaways and you do it all while speaking with ease to high-level executives using something like PowerPoint as your sidekick
  • Other qualifications
    • 1-3 years of experience with at least one Statistical Programming Language such as R or Python
    • Master’s in Statistics, Operations Research or related field (we will consider a Bachelor’s degree with significant relevant experience)
    • 1-3 years of experience with relational and distributed databases
    • 1-3 years of experience with AWS SageMaker and Code Versioning tools such as GitLab
    • 1+ years of experience with visualization tools such as RShiny, Streamlit, Tableau
    • Experience with AWS SageMaker 


Electronic Arts
我们拥有全面的游戏组合和丰富的体验,在世界各地设有分支机构,而且在整个 EA 提供大量机会。我们非常重视适应能力、韧性、创造力和好奇心。我们提供领导岗位让您发挥潜力,为学习和尝试提供空间,赋能您出色地完成工作并寻求成长的机会。

我们的福利计划十分全面,注重身体、情感、财务、职业和社区幸福感,提供带薪休假、育儿假以及免费游戏等更多福利来助力大家维持生活平衡。我们营造和谐的环境,让各个团队始终都能尽展所能。

Electronic Arts 是一个注重机会平等的雇主。在聘用员工时不会考虑其种族、肤色、国籍、血统、生理性别、社会性别、性别认同或表达、性取向、年龄、遗传信息、宗教、身心障碍、医疗状况、怀孕状况、婚姻状况、家庭状况或兵役状况,或任何受法律保护的其他特征。我们也会遵守相关法律,考虑招聘有过犯罪记录的合格应聘者。EA 还会根据适用法律的要求,为合资格的残障人士提供工作场所的便利。