In 2009, Riot released its debut title League of Legends and over 100 million people now play the game every month. Riot's Data Discipline builds tools to understand Riot and Player data, which may be used to delight our global audience or to inform the business for strategic decisions that create player value. Whether you are a Data Scientist casting a neural net, a Data Engineer building a hundred node parallelized data pipeline, or a Data Architect crafting data products that are more efficient and dependable, we need you. We use state-of-the-art data processing technology and have access to the latest cloud services available, but handling the potential of all this data is a tremendous and complex task. That's where you come in.

Riot Data Scientists combine their wide technical expertise across data processing, automation, machine learning ("ML"), artificial intelligence ("AI"), and experimental design to inform decisions and develop data-powered products. As a Data Science Manager, you’ll dive into projects that focus on cross-team goals. You’ll provide other data scientists with a north star of “what extraordinary data science should look like". You are the lead for complex or significant technical work, where the problem requires evaluation of intangibles. You can customize methods to suit an unusual data problem and juggle technical requirements. You work at a multi-team scale, guiding product vision, technical designs, and other data scientists' and engineers’ development across an organization. You lead by example, but you also lead by leading - you achieve results while elevating others' data science craft.

Project A is Riot’s take on a character-based tactical shooter (for more info on Project A click here!). As a Data Science Manager on the team, your responsibilities will be to support decision making with statistical models, contribute to product development with machine learning pipelines that operate at scale, as well as oversee the data pipeline and data mart development that enables insights and data applications. You will push the boundaries of how we use data to deliver player value, creatively combining known approaches for new results and selectively implementing the most relevant ideas from ML and AI research. You may lead the design and implementation of recommendation systems that personalize the player experience or build models that measure and explain game health to designers. For all systems that you build, you will track the performance of production models to maintain a high-quality player experience as the game changes.

Required Qualifications:

  • Ph.D. in Machine Learning, AI, Statistics, Math, or related Computer Science/Quantitative field, or equivalent experience
  • Experience as a Senior Data Scientist/Senior Data Engineer or higher
  • 4+ years of data science industry experience
  • 3+ years of experience running predictive models in production quality live systems
  • 2+ years of hands-on experience with petabyte-processing-capable technologies such as Spark or Hadoop

Desired Qualifications:

  • Experience working on a AAA game
  • Experience leading Data Science team

Our Perks:

We offer medical, dental, and vision plans that cover you, your spouse/domestic partner, and children. Life insurance, parental leave, plus short-term and long-term disability coverage are also available. Riot will support your retirement benefits with a company match, and double down on your donations of time and money to non-profit charitable organizations. Balance between work and personal life is encouraged with open paid time off, and a play fund so you can broaden and deepen your personal relationship with games

It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance relating to an applicant's criminal history (LAMC 189.00).