Lead Data Scientist - Battlefield, Data And Insights (d&i)

Electronic Arts

Vancouver, British Columbia, Canada
Base: $141,400 - $204,400 cad; bonus/equity: not s...
On-site
Ai/ml solutions
Player experience enhancement
Game design
Work directly with Battlefield game team/partners to understand their offerings/domain and create data science products and solutions to solve for their use cases

Job Summary

  • Work directly with Battlefield game team/partners to understand their offerings/domain and create data science products and solutions to solve for their use cases.
  • Design and enhance data pipelines that process petabyte-scale telemetry data using technologies such as AWS, S3, Kubernetes, GCP, Python, Apache Kafka, and Hive.
  • Communicate complex analytical concepts to technical and non-technical partners, influencing strategic decisions.

Matching Summary

Work directly with Battlefield game team/partners to understand their offerings/domain and create data science products and solutions to solve for their use cases.

Salary

Base: $141,400 - $204,400 CAD; Bonus/Equity: Not specified; Benefits: 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

Skills & Requirements

Must-have

  • AI/ML solutions
  • player experience enhancement
  • game design
  • live service performance
  • life cycle management
  • progression systems
  • in-game economies
  • player experience
  • Battlefield franchise

Nice-to-have

  • problem-driven AI/ML approaches
  • rigorous experimental design
  • actionable insights
  • productionize models
  • petabyte-scale telemetry data
  • forecasting
  • player state prediction
  • churn analysis
  • balancing
  • economic system tuning
  • complex analytical concepts
  • strategic decisions
  • mentor other data scientists
  • shared best practices

Key Requirements

  • Graduate degree in quantitative field
  • 6+ years of professional experience
  • Expertise in the gaming space
  • Experience building applied models in retention, economics, ML/AI deployment
  • Analyzing complex, multi-dimensional data sets
  • Familiarity with Python or R
  • History of mentoring junior team members
  • Knowledgeable about data warehouse and non-relational data techniques
  • Experience using query languages

Work Rights

Not specified

Tailored Resume

Cover Letter