AI Data Scientist

1 Month ago • 2-5 Years • Artificial Intelligence • $104,000 PA - $174,700 PA

Job Summary

Job Description

EA seeks an AI Data Scientist to shape the future of content creation in gaming. Responsibilities include applying deep learning and NLP techniques, managing large datasets, integrating AI solutions into games, and optimizing AI models for performance. The ideal candidate possesses a graduate degree in a relevant field, expertise in deep learning frameworks (PyTorch, Scikit-Learn), Python fluency, SQL knowledge, cloud experience (GCP, AWS, Azure), and DevOps familiarity (Git, CI/CD, Docker). Strong problem-solving, collaboration, and communication skills are essential.
Must have:
  • Graduate degree in relevant field
  • Deep learning expertise
  • Python & SQL fluency
  • Cloud & DevOps experience
  • Strong problem-solving skills
Perks:
  • Paid time off
  • Sick time
  • Company holidays
  • Parental leave
  • Medical/dental/vision insurance
  • Life insurance
  • Disability insurance
  • 401(k)
  • Bonus & equity (potential)

Job Details

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).

BASE SALARY RANGES

  • California (depending on location e.g. Los Angeles vs. Sacramento)

    • $122,300 - $170,600 USD

  • Colorado (depending on location e.g. Denver vs. Colorado Springs)

    • $111,800 - $151,800 USD

  • Illinois (depending on location e.g. Chicago vs Illinois City)

    • $104,000 - $138,700 USD

  • Minnesota (depending on location e.g. Minneapolis vs Saint Paul)

    • $104,000 - $138,700 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

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.

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.

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About The Company

We exist to inspire the world to play. We put our people first, and we thrive off their diversity in our innovative technology and immersive storytelling. We’re doing the work to give everyone the space to be their full selves while giving back to our community, no matter where you’re working from. We’re looking for problem-solvers, game-changers, innovators, dreamers, doers—people that are ready to move the needle and transform the future of gaming. Join us.

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