Senior Data Scientist - Madden

Electronic Arts Inc.; Orlando (FL); On-site; USD 100,000 - 130,000; Full time

Job summary

Electronic Arts Inc. is looking for a Data Scientist in Orlando, FL, with expertise in statistical modeling and data engineering. The ideal candidate will collaborate directly with game teams to create data science products and solutions for live services, specifically in recommendations and personalization.

Candidate should possess a Ph.D. or Master's in a quantitative field and have over 4 years of related experience. This role emphasizes strong communication skills and a passion for gaming.

Compensation will be competitive and based on experience and qualifications.

Qualifications

• 4+ years of experience manipulating data sets and building statistical models.
• Experience applying Data Science methodologies to real-world problems.
• Experience analyzing complex, multidimensional data sets.

Responsibilities

• Work directly with game teams to create data science products and solutions.
• Assist team leads across Live Services with generalizing products.
• Effectively communicate data science projects to stakeholders.
• Design and improve data pipeline processing petabytes of data.

Skills

Statistical modeling

Data engineering

Python

Machine learning

Data visualization

Education

Ph.D./Master's in Statistics, Mathematics, Computer Science

Tools

S3

Kubernetes

Sagemaker

GCP

SQL

PyTorch

TensorFlow

Hive

Hadoop

AWS

Job description

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 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.

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 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.

This does not apply in Quebec.

Compensation & 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.