Data Scientist
Job Description & How to Apply Below
This is a hybrid role with an expectation of 3 in‑office days per week. The position is only open to candidates based near any EA office in Canada.
Responsibilities
Build Bayesian Hierarchical Media Mix Models (MMMs) to quantify the contribution of marketing channels
Design and analyze geo‑based incrementality experiments and user‑level re‑engagement tests to measure the causal impact of marketing spend
Lead the design and analysis of retargeting experiments, applying A/B testing principles to evaluate incremental impact and guide campaign optimization
Develop budget optimization tools to support strategic decision‑making
Create forecasting models (e.g., Prophet) to project game performance
Translate model insights into actionable recommendations, collaborate closely with media buyers and present results and insights to stakeholders
Qualifications
Master's degree in a quantitative field (e.g., Statistics, Econometrics) and 2–5 years of experience in data science or analytics, ideally focused on marketing measurement or experimentation
Familiarity with MMMs, causal inference techniques (e.g., Causal Impact, Fixed Effect Regression), and experimental design
Strong experience with Python/R and SQL
Comfort working in a Bayesian modeling framework
Ability to communicate technical results to non‑technical stakeholders
Compensation & Benefits
For Canada, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top‑up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, and a retirement plan for regular full‑time employees.
Certain roles may also be eligible for bonus and equity.
British Columbia (depending on location e.g. Vancouver vs. Victoria) $104,500 - $142,800 CAD
Electronic Arts is an equal opportunity employer. All 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 will also consider employment qualified applicants with criminal records in accordance with applicable law.
EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.
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