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Manager, Data Science - Riot Data Products, MarTech

Riot Games
Los Angeles, California, United States
2 years ago
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As a Data Science Manager within the Riot Data Powered Products MarTech Team you will lead and collaborate with a multidisciplinary team including Software Engineers, Data Engineers, and Data Scientists that build products that reach out to millions of players. You will be responsible for setting technical direction, ensuring craft growth for your direct employees, and enabling a health team environment.

Your solutions involve collecting and transforming data into personalized messaging that resonate with players. Your customers and users range from prototype-level R&D teams to feature teams on Legends of Runeterra, VALORANT, Wild Rift, Teamfight Tactics, and League of Legends.

You will report to the General Manager for Cross Products.

Responsibilities:

Required Qualifications:

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).

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