Digital Lead Data Scientist

3 weeks ago

Montreal, Canada Electronic Arts Full time
div>General InformationLocations: Montreal, Quebec, Canada
Role ID207456Worker TypeRegular EmployeeStudio/DepartmentCTO - Studio Data InsightsFlexible Work ArrangementOff SiteDescription & RequirementsWe are a global team of creators, storytellers, technologists, experience originators, innovators and so much more. We believe amazing games and experiences start with teams as diverse as the players and communities we serve. div>Data-driven decision-making is essential to game development at EA. We're looking for a thoughtful and disciplined Lead Data Scientist with deep statistical modeling experience, strong data engineering experience and a passion for games and digital technologies. div>You will report to a Director of Data Science within EA's central Data and Analytics (DnA) organization. You will work with top data science talent to build live services features like store recommendations across all EA titles that will lead to a unique opportunity to affect the games played by millions of players. You’re passionate about elevating insights to be actionable across projects, and accelerating learning through data-driven testing.You will bring expertise in the area of AI, ML, and engineering, to create best practices for EA’s store recommendations and personalization, helping to surface interesting items to each player.

What you’ll do:

  • Work directly with game teams/partners (internal clients) to understand their offerings/domain and create data science products and solutions to solve for their use cases.
  • Partner with our team lead for Recommendations and Personalization to help generalize Store Recommendations algorithms across titles.
  • Coach and mentor Data Scientists and Senior Data Scientists for Recommendations and Personalization, ensuring technical best practices and guiding stakeholder communication.
  • Ensure sound methodology and experimental design, and guide the direction of each project from start to finish.
  • Effectively communicate data science projects and products to stakeholders, including those with non-data science backgrounds.
  • Design, improve and work with our data pipeline that transfers and processes petabytes of data using S3, Kubernetes, Sagemaker, GCP, Python, Apache Kafka, & Hive.
  • Use data manipulation, processing, and data visualizations to aid in your modeling efforts.
  • Assist game teams and data teams in making important decisions.

You have:

  • 6+ years of professional experience manipulating data sets, building statistical models and productizing models along with experience applying Data Science methodologies to real-world problems.

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