Lead Data Scientist - Studio Data Insights

Multiple Locations: Georgia, USA • Toronto, ON, Canada • Kitchener, ON, Canada • Vancouver, BC, Canada • Orlando, FL, USA • Quebec, Canada • British Columbia, Canada • Ontario, Canada • Arkansas, USA • Colorado, USA • Florida, USA • Kentucky, USA • Texas, USA • Michigan, USA • Connecticut, USA • Arizona, USA

Notice

This position is no longer open.

Requisition Number: 173250

Position Title: Sr Data Scientist

External Description:

We are hiring a Lead Data Scientist for our Studio Data and Insights Data Science team to join our current roster of lead data scientists. SDI Data Science partners with all of EA's game studios to offer data science products and solutions. For this Lead Data Scientist role we are looking for applied and practical expertise in one or more of the following areas:

Recommendations
Game Balancing/Skill Assessment
ML/AI Engineering Technology

You will bring expertise in the area of AI, ML, and engineering, and promote best practices for one or more of the areas above. You will lead a product pillar devoted to your expertise, shaping data products built for our titles.

What you'll do

Work directly with game teams/partners (internal clients) to understand their offerings, creating data science products and solutions for their use cases.
Apply pragmatic solutions to game team opportunities.
Develop and action on plans to generalize products across titles with our engineering partners.
Review team projects within your pillar, providing guidance and being accountable for the success of the project.
Promote data science projects and products throughout the organization.
Ensure sound methodology and experimental design so that experiments produce relevant conclusions.
Engage with the Data Science leads group as a member, guiding long-term strategies for the whole team.
Design, improve and work with our data pipeline that transfers and processes petabytes of data using tools, such as: AWS, S3, Kubernetes, GCP, Python, Apache Kafka, Ruby & Hive.
Build data manipulation, processing, and visualization routines to aid in your modeling efforts.
Use your statistical and computational knowledge to build algorithms for calculating variances, state predictions, and find trends.
Assist game teams and data teams in making important decisions.

Experience Background

Minimum Master's in Statistics, Mathematics, Computer Science or another quantitative field encouraged.
6+ years of professional experience manipulating data sets, building statistical models and productizing models along with experience applying Data Science methodologies to real-world problems.
Expertise building applied models, systems, or projects in any of the following areas: recommendation systems, game balancing/skill assessment, ML/AI engineering and deployment technology.
Experience with the full lifecycle of model development, from data collection to deployment.
Experienced in analyzing extremely complex, multi-dimensional data sets with a variety of tools.
Knowledgeable about data warehouse and non-relational data techniques to work with engineering partners.
Familiarity with at least one scripting language such as R or Python.
Experience using SQL or other query languages.
Big data technologies such as Hadoop, MapReduce, Hive, and Pig.
Strong ability to work with non-data science teams on controlled experiments.
Experience mentoring junior team members.
Application deployment using AWS, GCP, Virtual Machines, or Docker.
Experience building partnerships with individuals with non-data science backgrounds.
Interest in games a big plus.

Data is changing game development. Over the next few years, that change is going to accelerate and developers will need advanced data knowledge and toolsets. There is a large opportunity to change how developers build games and player experiences using machine learning/AI. The SDI Data Science team's role is to ensure developers have access to ML/AI experts, able to build AI-driven game features. The opportunities in the next five years are exciting as we increase the role AI has in gaming at EA and we hope you will join us.

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Community / Marketing Title: Lead Data Scientist - Studio Data Insights

Company Profile:

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.

EEOText:

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.

Days Open: 111

Can this position be remote?: 1

EEO Employer Verbiage:

About Electronic Arts