Mathematician / Game Designer, Tallinn, Estonia

Our client, a prestigious Game development studio with their HQ in central Tallinn are on a mission to be the best gaming operator and games developer in the industry. With continuous growth, they are now looking to hire an experienced Game Mathematician to join their happy team in Tallinn, Estonia.

Responsibilities:

  • Creating mathematical models of slot machines
  • Creating or adapting game features; offering new ideas and conduct brainstorming sessions
  • Tuning and modeling complex systems using ExcelLogical description of mechanic, building and maintaining the GDD (Game Design Document)
  • Creating and maintaining storyboards, wireframes, and design documents to communicate new features
  • Working with software engineers to test and verify game math model simulations using statistical methods
  • Analysing metrics and user feedback to derive insights and adjust game designs accordingly
  • Keeping up-to-date with casino game design trends
  • Actively participating in the game development process, engaging the team and resolving issues
  • Collaborating daily with your team, working together to solve problems and make great games

Requirements:

  • 2+ years of experience in casino game development, game, and math model design
  • Extensive knowledge of real money or social casino games and player psychology
  • Programming experience; preferably C/C++, C#, Java, or VBA
  • Skills with one or more art/wireframing tools helpful: Balsamiq Mockups, Photoshop, Draw.io, Illustrator
  • Demonstrated ability to work in a creative and collaborative, interrupt-driven work environment
  • Able to give and take constructive feedback in a professional manner
  • Passion for gaming; avid gamer with a solid understanding of game development and game genres
  • Strong understanding of game balance and game pacing
  • Ability to multi-task and work on more than one game at a time
  • Self-direction, drive, and leadership

A plus:

  • Excel expert, experience with VBA preferred
  • Bachelors Degree in Math, Statistics, Economy, Engineering, or Computer Science; or demonstrated expertise in combinatorics, probability, and statistics.