Data Scientist at Indeed
Ontario, Ontario, Canada -
Full Time


Start Date

Immediate

Expiry Date

30 Dec, 26

Salary

50000.0

Posted On

01 Oct, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Industry

Consumer Services

Description

Your Role


As a Data Scientist, you will help us improve our FC franchise by designing experiments, measuring outcomes, and leveraging data-driven methods to deliver personalized and dynamic content to our players. You are a technically oriented individual knowledgeable of how to use data and AI systems to solve product problems. You report to an embedded data science team in FC and will work with us, along with product managers, engineers, and technical leaders who bring EA Sports FC to life.


What a Data Scientist Does At EA


  • Design experiments and measure their outcomes to determine optimal or preferred content.
  • Maintain and develop new recommender models that help players navigate a broad and diverse array of content.
  • Understand how to use principles of statistics and machine learning to help learn and tune in game experiences while staying aware of their consequences.
  • Draft technical solutions when presented with a problem to a less technical audience.
  • Prototype new technology that fits use cases/problems and validates against success criteria.
  • Support peers with technical reviews, ensuring quality coding and deployment practices.

Your Qualifications


  • BS in Mathematics, Statistics, Economics, Computer Science, or related; or equivalent experience.
  • 1 year of work experience in data science, analytics, or a related area.
  • Experience developing a production-ready codebase alongside other contributors.
  • Familiarity with SQL, including experience querying complex, semi-structured data sets in a data lake environment.
  • Experience developing statistical and machine learning models using languages like Python or R and using tools like Sagemaker or Databricks.
  • Knowledge of programming best practices, version control, and automation.
  • Experience presenting to and gathering requirements from people at multiple levels of business and technical expertise.


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Responsibilities

Your Role


As a Data Scientist, you will help us improve our FC franchise by designing experiments, measuring outcomes, and leveraging data-driven methods to deliver personalized and dynamic content to our players. You are a technically oriented individual knowledgeable of how to use data and AI systems to solve product problems. You report to an embedded data science team in FC and will work with us, along with product managers, engineers, and technical leaders who bring EA Sports FC to life.


What a Data Scientist Does At EA


  • Design experiments and measure their outcomes to determine optimal or preferred content.
  • Maintain and develop new recommender models that help players navigate a broad and diverse array of content.
  • Understand how to use principles of statistics and machine learning to help learn and tune in game experiences while staying aware of their consequences.
  • Draft technical solutions when presented with a problem to a less technical audience.
  • Prototype new technology that fits use cases/problems and validates against success criteria.
  • Support peers with technical reviews, ensuring quality coding and deployment practices.

Your Qualifications


  • BS in Mathematics, Statistics, Economics, Computer Science, or related; or equivalent experience.
  • 1 year of work experience in data science, analytics, or a related area.
  • Experience developing a production-ready codebase alongside other contributors.
  • Familiarity with SQL, including experience querying complex, semi-structured data sets in a data lake environment.
  • Experience developing statistical and machine learning models using languages like Python or R and using tools like Sagemaker or Databricks.
  • Knowledge of programming best practices, version control, and automation.
  • Experience presenting to and gathering requirements from people at multiple levels of business and technical expertise.


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