Electronic Arts is looking to solve the problem of optimizing marketing strategy and budget allocation across digital channels by hiring a Data Scientist to join their Growth Analytics team.
Requirements
- Familiarity with MMMs, causal inference techniques (e.g. CausalImpact, 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
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 (ie: Prophet) to project game performance
- Translate model insights into actionable recommendations, collaborate closely with media buyers and presenting results and insights to stakeholders
Other
- 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
- 3 in-office days per week, with the position open to candidates based near any EA office in Canada
- Paid time off (3 weeks per year to start), 80 hours per year of sick time, 16 paid company holidays per year, 10 weeks paid time off to bond with baby
- Medical/dental/vision insurance, life insurance, disability insurance, and 401(k) to regular full-time employees
- Certain roles may also be eligible for bonus and equity
