Mathematician I in Reno, NV at Scientific Games

Date Posted: 8/30/2018

Job Snapshot

  • Employee Type:
  • Location:
    Reno, NV
  • Job Type:
  • Experience:
    1 to 3 years
  • Date Posted:
  • Job ID:

Job Description

Design and proof math models for gaming products and work closely with game designers, producers, engineers, and graphic and sound artists. The primary responsibility of this position is to deliver high quality and timely math models for all assigned projects. It will require the development, support, and maintenance of a reusable math tool framework. This position must demonstrate a high degree of initiative and is accountable for the thorough implementation of all tasks assigned.

Job Requirements

Essential Job Functions:
• Work with game designers and mathematicians to develop proof of concept and feasible math models.
• Develop and generate math models that demonstrate gaming probabilities and mathematical return of games via theoretical calculation and/or simulation.
• Participate and contribute in the game design and invention process.
• Work with engineers to ensure correct implementation of math models.
• Deliver high quality work as scheduled in accordance with the game design and product requirements.
• Provide computer simulation and analysis of existing and new math models.
• Develop understanding of competitive products and technology.
• Provide mentorship.

Job Requirements

Knowledge Skills and Abilities:
• Expert knowledge of probability and statistics.
• Expert knowledge of programming languages, software development, design patterns and object-oriented programming.
• Ability to create spreadsheets and software simulations to verify math models.
• Ability to identify, research, and solve gaming related problems.
• Ability to interface and communicate with other members of the game development staff.
• Ability to bring projects to completion with minimal supervision.
• Good written and verbal communication skills and a high level of interpersonal skills.
• Must be a self-motivated team player with the ability to work in a customer-oriented, very fast-paced, demanding, and deadline-driven environment.

• Minimum of 1-3 years of working knowledge in the areas of applied mathematics, probability and statistics.
• Minimum of 1-3 years of experience with C++, C#, Python or similar object-oriented programming language.
• Proficient in Microsoft Excel, Visual Studio.
• Familiar with the algorithms in the area of data mining, machine learning, and AI.

Bachelor’s degree in Mathematics/Statistics and Computer Science preferred. Bachelor’s degree in EE or Physics or other fields with a strong mathematical background considered. Advanced degree preferred.

Scientific Games Corporation and its affiliates (collectively, “SG”) are engaged in highly regulated gaming and lottery businesses.   As a result, certain SG employees may, among other things, be required to obtain a gaming or other license(s), undergo background investigations or security checks, or meet certain standards dictated by law, regulation or contracts.   In order to ensure SG complies with its regulatory and contractual commitments, as a condition to hiring and continuing to employ its employees, SG requires all of its employees to meet those requirements that are necessary to fulfill their individual roles.  As a prerequisite to employment with SG (to the extent permitted by law), you shall be asked to consent to SG conducting a due diligence/background investigation on you.

Note: This job description should not be interpreted as all-inclusive; it is intended to identify major responsibilities and requirements of the job.  The incumbent may be requested to perform other job-related tasks and responsibilities than those stated above.
SG is an Equal Opportunity Employer and does not discriminate against applicants due to race, ethnicity, gender, sexual orientation, veteran status, or on the basis of disability or any other federal, state or local protected class. If you’d like more information about your equal employment opportunity rights as an applicant under the law, please click here EEOC Poster.


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