Lead Data Scientist - Battlefield, Data and Insights (D&I)

Responsibilities

• Work directly with Battlefield game team/partners (internal clients) to understand their offerings/domain and create data science products and solutions to solve for their use cases.
• Apply problem-driven, AI/ML approaches to improve player experience, engagement, retention, and monetization systems.
• Develop plans to generalize products across the franchise with our engineering partners.
• Establish rigorous experimental design standards (A/B testing, causal inference, system experimentation) to produce actionable insights.
• Collaborate with engineering partners to productionize models within live environments and gameplay systems.
• Design and enhance data pipelines that process petabyte-scale telemetry data using technologies such as AWS, S3, Kubernetes, GCP, Python, Apache Kafka, and Hive.
• Develop algorithms and statistical models for forecasting, player state prediction, churn analysis, progression balancing, and economic system tuning.
• Communicate complex analytical concepts to technical and non-technical partners, influencing strategic decisions.
• Mentor other data scientists and contribute to shared best practices across the D&I organization.

Required Qualifications

• Graduate degree in Statistics, Mathematics, Computer Science or another quantitative field encouraged.
• 6+ years of professional experience manipulating data sets, building statistical models and productizing models along with experience applying Data Science methodologies to real-world problems.
• Expertise in the gaming space, understanding typical business models, game development practices and technology.
• Experience building applied models, systems or projects in the following areas: retention, economics/systems experiments, ad segmentation, ML/AI engineering and deployment technology.
• Experienced in analyzing extremely complex, multi-dimensional data sets with a variety of tools.
• Familiarity with at least one scripting language: Python or R.
• History of mentoring junior team members.
• Knowledgeable about data warehouse and non-relational data techniques to work with engineering partners.
• Experience using query languages and other analytic tools.

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) *$141,400 - $204,400 CAD
• Ontario *$141,400 - $192,100 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.

About Electronic Arts

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.