EA's Data & Analytics (DnA) team is accelerating our game developer's need for advanced data knowledge and toolsets.

We are hiring a Principal Data Scientist for our Data & Analytics (DnA) Data Science team to join our current roster of lead data scientists reporting to the head of Data Science. The Data Science team partners with all of EA’s game studios to offer data science products and solutions. For this Principal Data Scientist role we are looking for applied and practical AI/ML expertise with a focus on recommendation for our social platform, with opportunities to apply computer vision and NLP skills.

You will bring expertise in the area of AI, ML, and engineering, to create best practices for EA’s gaming titles and lead efforts related to personalization, content moderation and content evaluation.

Responsibilities

• Work directly with game teams/partners (internal clients) to understand their offerings/domain and create data science products and solutions to solve for their use cases.
• Focus on problem-driven approaches, applying pragmatic solutions to game team opportunities and decisions.
• Develop plans to generalize products across titles with our engineering partners.
• Review projects, providing guidance and being accountable for the success of the project or products produced.
• Communicate data science projects and products to partners.
• Ensure your methodology and experimental design and how experiments can produce relevant conclusions.
• Engage with other Data Science leads, sharing best practices and help consult on cross-projects.
• 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.
• Use your statistical and computational knowledge to build algorithms for calculating variances, state predictions, and find trends.

Required Qualifications

• Graduate degree in Statistics, Mathematics, Computer Science or another quantitative field encouraged. (Masters/PhD)
• 10+ years of professional experience manipulating data sets, building statistical models and productizing models along with experience applying Data Science methodologies to real-world problems.
• Experience building applied models, systems or projects in the following areas: recommendation systems, retention, economics/systems experiments, ad segmentation, ML/AI engineering and deployment technology.
• Develops and presents clear plans, roadmaps, updates and future strategies to high ranking stakeholders or executives.
• Experienced in analyzing extremely complex, multi-dimensional data sets with a variety of tools.
• Familiarity with at least one scripting language: Python is used, but R/Scala possible.
• History of mentoring junior team members.
• Knowledgeable about data warehouse and non-relational data techniques to work with engineering partners.
• Experience using query languages and other analytic tools.
• Interest in games a big plus.

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