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 build live services features like recommendations, matchmaking, and personalization across all EA titles that will lead to a unique opportunity to affect the games played by millions of players. You’re passionate about elevating insights to be actionable across projects, and accelerating learning through data-driven testing.
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 leads across Live Services: Recommendations/Matchmaking/Personalization with generalizing products across titles.
Work on team projects within your pillar (live service), proposing methodology and guiding the direction of each project.
Ensure sound methodology and experimental design, and guide the direction of each project from start to finish.
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 S3, Kubernetes, 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.
Mentor and coach junior team members.
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 a mix of recommendation, personalization, matchmaking, and forecast modeling.
Experienced in analyzing extremely complex, multi-dimensional data sets with a variety of tools.
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.
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 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. Pay 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
California (depending on location e.g. Los Angeles vs. Sacramento): º $130,250 - $199,400 USD Annually
New York (depending on location e.g. Manhattan vs. Buffalo): º $120,450 - $199,400 USD Annually
Jersey City, NJ : º $147,400 - $199,400 USD Annually
Colorado (depending on location e.g. Denver vs. Colorado Springs): º $120,450 - $161,750 USD Annually
Washington (depending on location e.g. Seattle vs. Spokane): º $120,450 - $188,600 USD Annually
British Columbia (depending on location e.g. Vancouver vs. Victoria): º $93,700 - $153,900 CAN Annually
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
Everything we do is designed to inspire the world to play. Through our cutting-edge games, innovative services, and powerful technologies, we bring worlds with infinite possibilities to millions of players and fans around the globe.
We’re looking for collaborative and inclusive people with diverse perspectives who will enrich our culture and challenge us. We take a holistic approach with our benefits program, focusing on physical, emotional, financial, career, and community wellness to support our people through every chapter of life. We provide comprehensive benefit packages and support for a balanced life with paid time off and new parent leave, plus free games and so much more. Our goal is to provide a safe and respectful workplace that empowers you to thrive in both work and life.
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.