Scott Allen

Scott Allen

Advanced Analytics at Electronic Arts

Mid-level Manager,Data Science / 17 yrs

San Francisco, CA

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Manager, Advanced Analytics, Data Scienc

Star Wars: Battlefront (2015)

After spending 5 years in the DC area doing consulting, I have spent the last 4 years performing data science in the video games industry. With the rise and fall of social gaming, the explosion of mobile as a platform, and the continued growth of the big consoles and PC, I've gained experience in the creation and implementation of numerous forms of user acquisition and player-state modeling, including but not limited to:

-Customer Lifetime Valuation
-Media Spend Optimization
-Churn and Purchasing Propensity
-Cross Promotion Impact and Forecasting

I enjoy working with clients, getting to the root of their problems, conceptualizing and framing an approach that addresses their questions, and then executing that plan.

Specialties: Analytics, Market Research, Predictive Analysis, Statistical Modeling
Work History
  • Manager, Advanced Analytics, Data Science

    Electronic Arts

    June 2014 - Present

    I manage the Player State Modeling team, a part of EA Data Science in the marketing organization, a group that uses statistical modeling and analysis to derive actionable insights for multiple stakeholders across the company. We are tasked with the formulation, creation, and execution of our models well through implementation, often updating stakeholders daily on results and accuracy. This includes working face to face with a number of clients who often have different and conflicting interests, which requires the ability to understand the true problem at hand; to get to the correct answer, we must first frame the question correctly.

    Our team's current focus includes:

    - Forecasting user and cohort life-time value for both mobile and AAA releases

    - Development of the Matchmaking Rating that is used for team balancing in Star Wars Battlefront

    - User segmentation and targeting via churn and spend propensity

    - Media Mix Modeling and the attribution of non-traditional marketing efforts (Youtube, viral campaigns, App store placement)

    In the past, I have worked on the measurement and forecasting of cross promotion efforts across studios and platforms, developed forecasts for mobile paid acquisition, and estimated the financial and technical impact from an influx of users across a diverse portfolio.

Education
  • Mathematics, Economics

    University of Virginia

    August 2002 - May 2006