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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.

Data-driven decision-making is essential to game development at EA. We're looking for a thoughtful and disciplined Data Scientist with deep statistical modeling experience, strong data engineering experience and a passion for games and digital technologies. The biggest and single most important aspect that we look for in aspiring colleagues is people who enjoy the joy of discovery.

You will report to a senior data science manager within EA's central Data and Analytics (DnA) organization. You will work with top data science talent to identify and combat toxicity across all EA titles. You're passionate about using your skills in NLP, computer vision, and more, to positively impact the gameplay experience for games played by millions of players. This person will work closely with our Lead Data Scientist who leads our team's content and toxicity initiatives.

What you'll do:

• Work directly with the game teams/partners (internal clients) to understand their offerings/domain and create data science products and solutions to solve for their live service use cases.
• Assist our team's lead of Content/Toxicity with generalizing products across titles.
• Work on team projects within your pillar (Content/Toxicity), proposing methodology and guiding the direction of each project.
• Ensure sound modeling methodology and experimental designs, and guide the direction of each project from start to finish.
• Define and design data schema and labeling criteria to enable moderation of new content and modalities
• Effectively communicate data science projects and products to stakeholders, including those with non-data science backgrounds.
• Design, improve and work with our data pipeline that transfers and processes petabytes of data using AWS, Sagemaker, GCP, Python, Apache Kafka, & Hive.
• Use data manipulation, processing, and data visualizations to aid in your modeling efforts.
• Assist game teams and data teams in making important decisions.

You Have:

• 4+ years of professional experience manipulating data sets, building statistical models, and productizing models along with experience applying Data Science methodologies to real-world problems.
• Ph.D./Master's in Statistics, Mathematics, Computer Science, or another quantitative field encouraged.
• Experience working on deep learning projects in a production setting.
• Experience with a deep learning framework such as PyTorch or TensorFlow.
• Experienced in analyzing extremely complex, multi-dimensional data sets with a variety of tools.
• Experience working with large scale, unstructured data across multiple modalities (image, text, audio, etc.)
• Superior verbal, visual, and written communication skills to educate and work with cross-functional teams.
• Experience using Python, SQL, PyTorch/TensorFlow, Hive/Hadoop, and AWS/GCP.
• Role benefits from experience in gaming.

Ceci ne s'applique pas au Québec.

BC COMPENSATION AND BENEFITS

The base salary ranges listed below are for the defined geographic market pay zones in these locations. If you reside outside of these locations, a recruiter will advise on the base salary range and benefits for your specific location. EA has listed the base salary ranges it in good faith expects to pay applicants for this role in the locations listed, as of the time of this posting. Salary offered will be determined based on numerous relevant business and candidate factors including, for example, education, qualifications, certifications, experience, skills, geographic location, and business or organizational needs.

BASE SALARY RANGES

• British Columbia (depending on location e.g. Vancouver vs. Victoria): º $133,400 - $193,200 CAN Annually

Base salary is just one part of the overall compensation at EA. We also 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.