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
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). BASE SALARY RANGES
- California (depending on location e.g. Los Angeles vs. Sacramento)
- Colorado (depending on location e.g. Denver vs. Colorado Springs)
- New York (depending on location e.g. Manhattan vs. Buffalo)
- Washington (depending on location e.g. Seattle vs. Spokane)
- British Columbia (depending on location e.g. Vancouver vs. Victoria)
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.
