The Activision Global Analytics organization has a simple mission: to put the science into decision making. We are a team of data analysts, data scientists and economists focused on improving Activision titles through analytically driven game systems, including engagement features and the economy. We partner with teams across Activision and its studios, leveraging our wealth of data to help them make great games.

We are looking for a talented Senior Game Economist to join our team. You are an expert at applying academic and business concepts to test, learn, iterate, and improve in-game experiences for players as it relates to virtual currency, monetization, game design, and player engagement. You will take on the task of running experiments, determining causal effects, modeling demand, and building simulations of complex in-game economies. You will be responsible for collaborating with game studios and publishing teams across our portfolio of franchises, such as Call of Duty and Crash Bandicoot, with a primary focus on Call of Duty: Mobile.

Responsibilities of the Role

Partner with cross-functional teams to enable science-based decision making at Activision to create and deliver first-class content to our players
Identify and understand the behaviors of our players through research, analysis, and experimentation
Develop and monitor metrics to ensure the health of a live multimillion-dollar service business
Inform and iterate on game economy design by building economic models to accurately forecast revenue and player behaviors
Build on Activision’s expertise at balancing and improving the inner workings of game economies
Build on Activision’s expertise in economic theory and how to apply it to real-world applications

Player Profile

Advanced degree in economics or related field; Ph.D. preferred
4+ years of experience, preferably in gaming (console, PC, or mobile), entertainment, technology, or consumer products
Experience in applied econometrics, statistical inference and experimentation design and analysis
Proficient at performing analyses using R, Python, or similar tools
Working knowledge of SQL, bonus for experience with big data tools
Process-oriented driving toward visibility, accountability, and communication
Team-oriented, ability to build long-lasting and collaborative relationships effectively. You work selflessly and enthusiastically, serving as a positive catalyst for collaborative solutioning
You contribute to the expertise in every data and analytic conversation as well as you listen with openness to other’s expertise
The ability to communicate complex results to a wide variety of stakeholders