Electronic Arts Inc

Data Scientist

Electronic Arts Inc$104K — $142K *
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Master's degree in a quantitative field (e.g., Statistics, Econometrics)
  • 2-5 years of experience in data science or analytics, with a focus on marketing measurement or experimentation
  • Familiarity with Media Mix Models (MMMs) and causal inference techniques
  • Proficient in Python/R and SQL
  • Comfortable working within a Bayesian modeling framework
  • Strong communication skills for conveying technical insights to non-technical stakeholders

Responsibilities

  • Build Bayesian Hierarchical Media Mix Models (MMMs) to quantify marketing channel contributions
  • Design and analyze geo-based incrementality experiments to assess marketing spend impact
  • Lead retargeting experiments using A/B testing to optimize campaigns
  • Develop budget optimization tools for strategic decision-making
  • Create forecasting models (e.g., Prophet) for game performance projection
  • Translate model insights into actionable recommendations and present results to stakeholders

Benefits

  • 3 weeks of vacation per year
  • 10 days of sick time annually
  • Paid top-up to EI/QPIP benefits for new parents
  • Extended health/dental/vision coverage
  • Life and disability insurance
  • Retirement plan for full-time employees
  • Potential eligibility for bonuses and equity options
Full Job Description
Description & Requirements

We9re looking for a sharp, curious, and collaborative Data Scientist to join our Growth Analytics team. You9ll work closely with media buyers to build models and experiments that inform our marketing strategy. Your insights will shape how we allocate budget, measure impact, and forecast performance across digital channels.

You9ll join a tight-knit team of five data scientists and will report directly to the Senior Manager of Data Science.

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 (ie: Prophet) to project game performance
  • Translate model insights into actionable recommendations, collaborate closely with media buyers and presenting results and insights to stakeholders

Qualifications:
  • Master9s 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. 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


Pay Transparency - North America

COMPENSATION AND BENEFITS

The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs).

PAY RANGES

* British Columbia (depending on location e.g. Vancouver vs. Victoria) *$104,500 - $142,800 CAD

Pay is just one part of the overall compensation at EA.

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, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and equity.

Post To

External careers site, Internal careers site

LinkedInID

1449

About Electronic Arts Inc

Electronic Arts Inc. (EA) is a global leader in digital interactive entertainment. The company develops and publishes games, content, and online services for consoles, mobile devices, and personal computers. EA's portfolio includes popular franchises such as FIFA, Madden NFL, The Sims, and Battlefield. The company was founded in 1982 and is headquartered in Redwood City, California.
Learn more about Electronic Arts Inc
Size
12,900 employees
Market Cap
$33.3 billion
Industry
Net Income
$1.1 billion
Founded
1982
5 Year Trend
+7.6%
Revenue
$5.6 billion
NASDAQ

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