AI Data Scientist

Avature; Burnaby; Remote; CAD 96,000 - 134,000; Full time

Job summary

Join a forward-thinking company that is shaping the future of gaming through innovative AI solutions. As a Data Scientist, you will leverage your expertise in deep learning and machine learning to empower players to create unique content. This role offers the opportunity to work with diverse teams, applying cutting-edge techniques to analyze and visualize data, and optimize AI models for performance. With a strong focus on creativity and collaboration, this position promises to be both challenging and rewarding, making a significant impact in the gaming industry. If you're passionate about technology and eager to push boundaries, this is the perfect opportunity for you.

Benefits

Paid Time Off (3 weeks per year)

Sick Time (10 days per year)

Paid Top-up to EI/QPIP Benefits

Extended Health/Dental/Vision Coverage

Life Insurance

Disability Insurance

Retirement Plan

Free Games

Qualifications

• Graduate degree in a relevant field is required.
• Expertise in deep learning and machine learning frameworks is essential.

Responsibilities

• Apply deep learning and machine learning techniques to enhance gameplay.
• Collaborate with game teams to integrate AI solutions into products.

Skills

Deep Learning

Natural Language Processing

Problem-Solving

Data Visualization

Communication Skills

Education

Graduate degree in statistics, mathematics, computer science

Tools

Scikit-Learn

PyTorch

SQL

Git

Docker

Cloud environments (GCP, AWS, Azure)

Job description

• Canada
• Austin
• United States of America
• Edmonton
• Canada
• United States of America
• Orlando
• United States of America
• Redwood City
• United States of America
• United States of America
• Canada

Role ID: 205803

Worker Type: Regular Employee

Studio/Department: Flexible Work Arrangement

Location: Off Site

Description & Requirements

We are a global team of creators, storytellers, technologists, experience originators, innovators and so much more. We believe amazing games and experiences start with teams as diverse as the players and communities we serve. At Electronic Arts, the only limit is your imagination.

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 Data Scientist you will:

• 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 techniques.
• Work in partnership with game teams to integrate AI solutions into products and services.
• Optimize and fine-tune AI models for performance and scalability.

Required qualifications and experience:

• Graduate degree in statistics, mathematics, computer science, or related field.
• Expertise in deep learning and fluency with machine learning frameworks and libraries (e.g. Scikit-Learn, PyTorch).
• Fluent in Python and good knowledge of SQL.
• Exposure to Cloud environments (e.g. GCP, AWS, or Azure).
• Exposure to devops tools and principles (Git, CI/CD, Docker).
• Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a team environment.
• Strong communication skills, both written and verbal.

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).

• $96,400 - $133,900 CAD
• $122,300 - $170,600 USD
• $111,800 - $151,800 USD
• Jersey City, NJ: $137,300 - $170,600 USD
• New York (depending on location e.g. Manhattan vs. Buffalo): $104,000 - $170,600 USD
• Washington (depending on location e.g. Seattle vs. Spokane): $104,000 - $174,700 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.

About Electronic Arts: We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.

We take a holistic approach with our benefits program, focusing on physical, emotional, financial, career, and community wellness to support a balanced life with paid time off and new parent leave, plus free games and so much more. We nurture environments where our teams can always bring their best to what they do.

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.