Data Scientist

Electronic Arts; Toronto; Remote; CAD 80,000 - 120,000; Full time

Job summary

Join a forward-thinking company that creates next-level entertainment experiences! As a Data Scientist, you'll work on exciting projects related to player life cycles, from acquisition to churn prevention. Collaborate with talented professionals to build predictive models and insightful dashboards that drive decision-making. This fully remote position offers the chance to make a significant impact in the gaming industry while enjoying a supportive environment that values creativity and innovation. If you're passionate about data and eager to contribute to a dynamic team, this opportunity is perfect for you.

Benefits

Paid Time Off

Parental Leave

Free Games

Wellness Programs

Qualifications

• 3+ years of experience with cloud databases like Google BigQuery and Snowflake.
• Proficiency in Python and SQL for data analysis and model building.

Responsibilities

• Build statistical and machine learning models to predict Life Time Value.
• Create dashboards and visual reports for non-technical stakeholders.

Skills

Python

SQL

Git

Machine Learning

Statistical Modeling

Tools

Google BigQuery

Snowflake

Looker

Tableau

xgboost

scikit-learn

Job description

Description & Requirements

Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story, part of a community that connects across the globe. It is a place where creativity thrives, new perspectives are invited, and ideas matter—a team where everyone makes play happen.

You will report to a Senior Data Scientist under a Director, Data Science. As part of a central analytics organization, you will work on challenging projects related to the Life Cycle Management of EA games. Our team's mandate covers many aspects of the player journey, from acquisition to churn prevention, and together we will make pioneering impacts in these areas.

This position is fully remote.

Responsibilities:

1. Build statistical and machine learning models to predict the Life Time Value of HD cohorts, and deploy these models by collaborating with data engineers.
2. Create dashboards and visual reports to communicate results to non-technical stakeholders.
3. Support team efforts including setting up and analyzing incrementality and A/B tests.

Qualifications:

• Proficiency in git, Python, and SQL.
• At least 3 years of experience working with cloud databases such as Google BigQuery and Snowflake.
• Over 1 year of experience building dashboards with Looker and Tableau.
• Over 1 year of experience using Python machine learning libraries like xgboost or scikit-learn.
• Experience with causal inference methods (e.g., fixed effects, difference-in-differences) is preferred.

About Electronic Arts

We are proud to have an extensive portfolio of games and experiences, locations worldwide, and numerous opportunities across EA. We value adaptability, resilience, creativity, and curiosity. Our leadership fosters potential, and we create space for learning and experimentation, empowering you to excel and grow.

Our benefits program focuses on physical, emotional, financial, career, and community wellness, supporting a balanced life with paid time off, parental leave, free games, and more. We cultivate environments where our teams can always perform at their best.

Electronic Arts is an equal opportunity employer. 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, veteran status, or any other characteristic protected by law. We also consider qualified applicants with criminal records in accordance with applicable law and provide workplace accommodations for individuals with disabilities as required by law.