Lead Data Scientist - Mobile

Key Skills

Aartificial intelligence, Amazon Simple Storage Service (S3), Apache Hive, Apache Kafka, AWS, Data Analytics, Data science techniques, Google Cloud Platform (GCP), Kubernetes-K8s, Machine learning techniques, Python Programming, Ruby on Rails, Statistics

Job Description

We are hiring a Lead Data Scientist - Mobile for our Data & Analytics (DnA) Data Science team to join our current roster of lead data scientists reporting to a data science Sr Manager. The Data Science team 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 AI/ML expertise with a focus on Mobile Games.

You will bring expertise in the area of AI, ML, and engineering, to create best practices for EA’s mobile gaming titles and lead efforts related to life cycle management, economics, and player experience across all of our mobile titles. 

Responsibilities

• Work directly with mobile 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 mobile 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)
• 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 in the mobile gaming space, understanding typical business models, game development practices and technology.
• 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.
• 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.

US COMPENSATION AND BENEFITS

The base salary ranges listed below are for the defined geographic market pay zones in these states. If you reside outside of these locations, a recruiter will advise on the base salary 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. Salary 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):

 $149,150 - $233,500

• New York (depending on location e.g. Manhattan vs. Buffalo):

$136,000 - $233,500

• Jersey City, NJ:

$171,100 - $233,500

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

$136,000 - $190,850

• Washington (depending on location e.g. Seattle vs. Spokane):

 $136,000 - $218,900

Base salary is just one part of the overall compensation at EA. We also 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.