Manager, Data Science

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Introduction

At Glu Mobile, we love to build free-to-play mobile games. Our titles include Covet Fashion, Design Home, Deer Hunter, MLB Tap Sports Baseball, and Disney Sorcerer's Arena, to name a few. One of our key differentiators is the ability to scale these games through a strong understanding our players. This understanding of our players drives our ability to meet their expectations, reach new players, and improve our games. The analytics group forms the insights and builds the products that allow us to connect with our players at scale.


The Role

As the Manager, Data Analytics, you will build and grow a team of analysts and data scientists to help us scale our games. You will work with your team to define business problems, develop analytical approaches, and craft recommendations to Growth Team and studio leadership. You will also connect learnings from one game to opportunities across the portfolio. This is a highly visible role with direct impact across Glu’s portfolio.

You’ll most often:

  • Coach data scientists on solving problems and building solutions
  • Drive the application of analytical and machine learning techniques
  • Consult with user acquisition specialists and product marketing specialists on opportunities to improve the performance of their games
  • Maintain and advance high standards of analytical quality

You’ll be a great fit for this role if you have:

  • Passion for games and empathy for our players 
  • Excitement for working in a data rich environment
  • Experience delivering data science products and insights 
  • Built roadmaps with business stakeholders 
  • Pride in growing the capabilities of your team 
  • Experience managing a group of analysts 

Bonus points for:

  • Master’s Degree in statistics, math, or other quantitative field and five or more years of experience 
  • Experience working in Unix-like and cloud environments
  • Writing queries in big data environments 
  • Writing re-usable code in dynamic programming languages (such Python) or statistical programming environments (such as R or Julia)
  • Collaborating on code using Git 
  • Building dashboards in Tableau, Looker, or similar 

All qualified applicants will receive consideration for employment. Glu is an equal opportunity employer committed to diversity in the workplace. We welcome people of different backgrounds and experiences to ensure a diverse and inclusive workplace.”

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Location

Our office is right across the street from Moscone Center West, just minutes from the BART station and 4th + King Caltrain with shuttle service.

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