Mathematician

Light & Wonder•Las Vegas, NV
•Onsite

About The Position

Welcome to the world of land-based gaming. At Light & Wonder, it’s all about the games, and our Gaming team builds cutting-edge technology, products, and content for the most iconic casinos and operators across the globe. Bring our games to life by creating the math models that drive slot game play. Work with a group of exceptionally talented mathematicians and game designers to provide the best gaming experience for the slot player. The ability to work quickly and efficiently as part of a team, take direction, and maintain a positive attitude under pressure is crucial.

Requirements

  • 2+ years of professional experience in applied mathematics, probability, and/or combinatorics.
  • Have good written and verbal communication skills.
  • Ability to work will with others in a team environment.
  • Ability to bring projects to completion with minimal supervision.
  • Ability to adapt to a customer-oriented, fast-paced, deadline-driven environment
  • Proficient in Microsoft Excel.
  • Experience with C++, C#, or a similar object-oriented programming language.
  • Familiarity with working in a Windows programming environment, including Visual Studio.
  • Have strong multi-tasking skills.
  • Enjoy working in a creative environment.
  • Interact and collaborate with immediate team members and senior level professionals.

Nice To Haves

  • Gaming industry experience is desirable but not required.

Responsibilities

  • Develop and proof math models for slot games that demonstrate game probabilities and return to player via theoretical calculation and/or simulation.
  • Code, test, and debug simulations of slot games to gather statistics and verify accuracy of math models.
  • Collaborate with software engineers and math test engineers to ensure math models are properly implemented and compliant with applicable regulations.
  • Collaborate with other mathematicians and game designers to brainstorm new game mechanics and to determine mathematical feasibility of concept math models.
  • Develop an understanding of competitive products and technologies.
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