Niantic/Scopely is seeking a talented and passionate Data Scientist to join our team in Tokyo. As a Data Scientist, you will play a crucial role in supporting the development and growth of our live games. You will be responsible for analyzing and interpreting large datasets to provide valuable insights and recommendations to enhance our game's performance and user experience. Statistical proficiency and business intelligence experience are crucial for effective communication and data-driven decision-making. Familiarity with Looker is a big plus.
Join our team and contribute to the success of Niantic games by leveraging your data science expertise to drive data-informed decision-making and enhance the player experience !!
Scopely is a global interactive entertainment and mobile-first video game company, home to many top, award-winning experiences such as "MONOPOLY GO!," “Star Trek™ Fleet Command,” “Stumble Guys,” “MARVEL Strike Force,” and “Yahtzee® With Buddies,” among others.
Scopely creates, publishes, and live-operates immersive games that empower a directed-by-consumer™ experience across multiple platforms--from mobile, web, PC and beyond.
Founded in 2011, Scopely is fueled by a world-class team and a proprietary technology platform Playgami that supports one of the most diversified portfolios in the games industry.
Recognized multiple times as one of Fast Company’s “World’s Most Innovative Companies,” Scopely is a multi-billion-dollar business due to its ability to create long-lasting game experiences that players enjoy for years.
Scopely has global operations in more than a dozen markets across Asia, EMEA, and North America, and is home to many internal game development teams, referred to as Scopely Studios, with additional game studio partners across four continents.
Scopely was acquired by Savvy Games Group in July 2023 for $4.9 billion, and is now an independent subsidiary of Savvy.
For more information on Scopely, visit: scopely.com
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Salary: $95,000 - $145,000
🤖 This salary estimate is calculated by AI based on the job title, location, company, and market data. Use this as a guide for salary expectations or negotiations. The actual salary may vary based on your experience, qualifications, and company policies.
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