Electronic Arts

Empowering players to create is an exciting future for the gaming industry.  At Electronic Arts we have many examples of players creating content, whether it be a skateboard park in Skate or fantastical mansions in the Sims 4. The future definitely has our players being more empowered to create with their imagination being the only limit.

We are looking for a Data Scientist to help shape the future of content creation and gameplay with AI.  If you have the right expertise and are interested we want to hear from you!

As a Senior AI Data Scientist you will: 

• Build, fine-tune and implement AI and machine learning models to solve challenging problems
• Ensure AI and machine learning production pipelines are scalable, repeatable and cloud agnostic
• Apply current and emerging techniques in deep learning, natural language processing and other machine learning areas
• Collect, clean, manage, analyze and visualize large sets of data using multiple data platforms, tools and technique
• Work in partnership with game teams to integrate AI solutions into products and services.
• Optimize and fine-tune AI models for performance and scalability. Analyze and interpret data to extract meaningful insights and improve AI models. 
• Document and present findings and solutions to stakeholders. 

Desired qualifications and experience:

• A minimum of 3+ years of experience in data science
• PhD or MSc in statistics, mathematics, computer science, or related field
• Strong expertise in deep learning, fluent in Python and SQL
• Expertise in automating machine learning models and building end to end products
• Experience with devops tools and principles (Git, CI/CD, Docker)
• Effective within Cloud environments (GCP, AWS)
• Understanding of containerization and orchestration technologies (Docker, Kubernetes, etc.)
  

Ceci ne s’applique pas au Québec. 

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)
  • $119,600 - $167,300 CAD

• California (depending on location e.g. Los Angeles vs. San Francisco)
  • $138,400 - $211,700 USD

• Colorado (depending on location e.g. Denver vs. Colorado Springs)
  • $138,400 - $171,800 USD

• Jersey City, NJ
  • $138,400 - $207,800 USD

• New York (depending on location e.g. Manhattan vs. Buffalo)
  • $129,500 - $207,800 USD

• Washington (depending on location e.g. Seattle vs. Spokane)
  • $129,500 - $171,800 USD

Base salary is just one part of the overall compensation at EA. In the US, we offer a package of benefits including 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. For British Columbia, 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.