Growth Data Scientist – Mobile Marketing Analytics in Vancouver

Growth Data Scientist – Mobile Marketing Analytics in Vancouver

Vancouver Full-Time 75600 - 92400 $ / year (est.) Hybrid
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At a Glance

  • Tasks: Build models and experiments to drive marketing strategy and optimize budgets.
  • Company: Leading gaming company in Vancouver with a focus on innovation.
  • Benefits: Competitive compensation, hybrid work environment, and growth opportunities.
  • Other info: Exciting projects and a collaborative culture await you!
  • Why this job: Join a dynamic team and make an impact in the gaming industry.
  • Qualifications: Master's degree in a quantitative field and experience with Python/R and SQL.

The predicted salary is between 75600 - 92400 $ per year.

A prominent gaming company in Vancouver is seeking a Data Scientist to join their Growth Analytics team.

The role involves building models and experiments to inform marketing strategy, analyze marketing spend impact, and develop budget optimization tools.

Candidates should have a Master's degree in a quantitative field and experience with Bayesian modeling, Python/R, and SQL.

This position offers competitive compensation and promotes a hybrid work environment. #J-18808-Ljbffr

Growth Data Scientist – Mobile Marketing Analytics in Vancouver employer: Electronic Arts (EA)

At Electronic Arts, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to push the boundaries of gaming technology. As a Technical Director in our vibrant studio, you will have access to cutting-edge resources and collaborative teams, ensuring your professional growth while contributing to groundbreaking projects. Located in a hub of creativity and technology, we offer competitive benefits and a supportive environment that values diversity and encourages continuous learning.

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Contact Details:

Electronic Arts (EA) Recruitment Team

We think you need these skills to ace Growth Data Scientist – Mobile Marketing Analytics in Vancouver

Bayesian Modeling
Python
R
SQL
Data Analysis
Marketing Strategy Development
Budget Optimization