Data Scientist

Job Description

Tools and Technology – Data
Scientist
EA Create is a collective of content production teams partnering with EA Studios
game teams to provide outstanding visuals, audio and technology. Our teams comprise of artists, engineers, technicians, designers and development directors.
Worldwide, we combine our teams to form a global group of extraordinary individuals fueled by imagination and a unified passion for creating amazing content and experiences. We are a diverse team, unified through collaboration, culture and
craft.
The EA Create Tools and Technology Team is looking for accomplished people to help us fulfill our mission of providing creative tools and workflows that allow EA to lead the industry in content quality. Our group strives to build an ecosystem of
modular components that are efficient, adjustable to trends and allow for quick iteration of any artistic idea into reality.
The Challenge Ahead:
As a Data Scientist on our team, you will build solutions that leverage our extensive library of data for the mass production of assets to be included in our catalogue of AAA titles. You will build and train cutting-edge AI models to empower content
creators spanning all aspects of asset creation including character and world building, animation, rigging, audio and scanning. You will report to a team Development Director. As a Data Scientist you will:
 Work in partnership with content creators to design shared services
 Design, develop and implement cloud-based AI and machine learning
production pipelines
 Ensure AI and machine learning production pipelines are scalable, repeatable,
cloud agnostic and secure
 Apply current and emerging techniques in deep learning, computer vision and other machine learning areas
 Collect, clean, manage, analyze, and visualize large sets of data using multiple data platforms, tools and techniques Who you are:
 A minimum of 2+ years of experience in data science
 Bachelor’s degree in a related field
 Strong expertise in deep learning, in particular computer vision
 Expertise in automating machine learning models and building end to end products
 Experience with source code management (Perforce, Git)
 Effective within public Cloud environments
 Understanding of containerization for deploying our solutions Bonus if you have:  Experience with CI/CD pipelines