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Gaming Mathematician Jobs in Georgia (NOW HIRING)

Design and analyze A/B tests - experimental design, statistical analysis, and results interpretation for game math variant testing (where regulatorily permitted) * Productionalize models - package ...

Slot Game Designer - Remote

Atlanta, GA ยท On-site +1

$152K/yr

Are you ready to roll the dice and design the next big thing in slot gaming? We're on the lookout ... Math & Code Guru: Background in mathematics and/or programming to add complexity to your designs.

Lead Gameplay Programmer

Alpharetta, GA ยท On-site

$125K - $139K/yr

Solid understanding of 3D math, physics, animation integration, and player systems. * Proven ability to architect, implement, and maintain large gameplay systems. * Experience mentoring or leading ...

Math InstructorTutor

Snellville, GA ยท On-site

$10 - $12/hr

We offer personalized instruction, proprietary worksheets, and games to build Number Sense and provide a fun and supportive environment in which children can learn and practice math.

We offer personalized instruction, proprietary worksheets, and games to build Number Sense and provide a fun and supportive environment in which children can learn and practice math. Education:no ...

We offer personalized instruction, proprietary worksheets, and games to build Number Sense and provide a fun and supportive environment in which children can learn and practice math.

We offer personalized instruction, proprietary worksheets, and games to build Number Sense and provide a fun and supportive environment in which children can learn and practice math. Education:no ...

We offer personalized instruction, proprietary worksheets, and games to build Number Sense and provide a fun and supportive environment in which children can learn and practice math.

We offer personalized instruction, proprietary worksheets, and games to build Number Sense and provide a fun and supportive environment in which children can learn and practice math. Education:no ...

We offer personalized instruction, proprietary worksheets, and games to build Number Sense and provide a fun and supportive environment in which children can learn and practice math.

Math Instructor/Tutor

Fayetteville, GA ยท On-site

$16.59 - $20/hr

We offer personalized instruction, proprietary worksheets, and games to build Number Sense and provide a fun and supportive environment in which children can learn and practice math. Education:no ...

We offer personalized instruction, proprietary worksheets, and games to build Number Sense and provide a fun and supportive environment in which children can learn and practice math.

Lead Math Instructor

Fayetteville, GA ยท On-site

$18.93 - $22.79/hr

We offer personalized instruction, proprietary worksheets, and games to build Number Sense and provide a fun and supportive environment in which children can learn and practice math. Education ...

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Gaming Mathematician information

What are the key skills and qualifications needed to thrive as a gaming mathematician, and why are they important?

To thrive as a Gaming Mathematician, you need a strong background in mathematics, statistics, and probability theory, often supported by a relevant degree such as mathematics, statistics, or actuarial science. Familiarity with programming languages (like Python or C++), statistical modeling software, and tools for game simulation and analysis is typically required. Analytical thinking, attention to detail, and effective communication are crucial soft skills for collaborating with game designers and explaining complex concepts clearly. These skills ensure the creation of fair, engaging, and compliant gaming products while maximizing player experience and business profitability.

What is a gaming mathematician?

Gaming Mathematicians are professionals who apply mathematical principles to the design, analysis, and regulation of games, especially in the gambling and casino industry. They develop mathematical models to ensure games are fair, entertaining, and comply with legal standards. Their work includes calculating odds, designing payout structures, and analyzing statistical data to optimize game performance. Gaming Mathematicians often collaborate with game developers and regulatory bodies to create balanced and profitable games.

What is the difference between Gaming Mathematician vs Game Developer?

AspectGaming MathematicianGame Developer
Required CredentialsDegree in mathematics, statistics, or related fieldDegree in computer science, software engineering, or related field
Work EnvironmentResearch labs, gaming companies, or freelance consultingGame studios, tech companies, or independent development
Industry UsageFocus on game mechanics, probabilities, and balancingDesign, programming, and creating game content

Gaming Mathematicians primarily analyze game mechanics and probabilities to optimize gameplay and balance, often working in research or consulting roles. In contrast, Game Developers are involved in designing, coding, and building the actual games. While both roles require technical skills, Gaming Mathematicians focus on mathematical modeling, whereas Game Developers focus on software development and creative design.

How does a gaming mathematician collaborate with game designers and developers during the creation of new casino games?

A Gaming Mathematician works closely with game designers and developers to ensure that new casino games are both entertaining and mathematically sound. They create and analyze mathematical models to determine payout percentages, volatility, and player return rates, often providing feedback to designers on how proposed features will impact game balance and profitability. Regular meetings and iterative testing are common, allowing mathematicians to refine calculations based on gameplay prototypes and regulatory requirements. This collaborative approach helps ensure compliance while also enhancing the player experience.
What are popular job titles related to Gaming Mathematician jobs in Georgia? For Gaming Mathematician jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Gaming Mathematician jobs in Georgia look for? The top searched job categories for Gaming Mathematician jobs in Georgia are:
What cities in Georgia are hiring for Gaming Mathematician jobs? Cities in Georgia with the most Gaming Mathematician job openings:
Infographic showing various Gaming Mathematician job openings in Georgia as of July 2026, with employment types broken down into 86% Full Time, 11% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 51% Physical, 1% Hybrid, and 48% Remote job distribution.

Machine Learning Engineer

AGS

Duluth, GA โ€ข On-site

Full-time

Posted 17 days ago


Job description


Job Overview
The Data Scientist / ML Engineer builds and deploys predictive models and analytical systems that turn AGS's player and game data into quantitative insights that directly improve game design and commercial decisions. This role bridges behavioral data science (understanding how players interact with games) and production ML engineering (deploying models that actually reach decision-makers). It feeds game designers with data-driven design recommendations for the ML-driven game design initiative, supports yield management with predictive models for Interactive YieldMax, and enables operators to understand their player base more deeply - anchored to AGS's Tech & Data hero mission of an accessible data layer with live KPIs powering every decision.
Responsibilities
  • Build player session behavioral models - retention prediction, abandonment modeling, post-bonus behavior analysis, and bet escalation modeling from iGaming session data
  • Develop game performance prediction models - predict WPUPD, time on device, and floor longevity from game specification features and historical performance data, using a game feature extraction pipeline that reverse-engineers existing titles into structured, reusable features
  • Build math model optimization analytics - analyze actual vs. theoretical RTP, hit frequency, and bonus frequency; identify math model anomalies across the deployed fleet
  • Create player segmentation models - cluster players into behavioral archetypes (bonus hunters, jackpot chasers, base game grinders) to inform game design and operator recommendations
  • Support the Interactive YieldMax yield-management tool - build the underlying models that predict which AGS game maximizes performance in a given floor position, operator property, and player demographic
  • Build predictive maintenance models - analyze cabinet error logs and, as sensor/telemetry pipelines mature (Dynamics Field Service / Dataverse), incorporate telemetry to identify failure precursor patterns and predict component failures
  • Feed game design decisions - translate model outputs into game designer-friendly insights that are actionable in the game specification process
  • Design and analyze A/B tests - experimental design, statistical analysis, and results interpretation for game math variant testing (where regulatorily permitted)
  • Productionalize models - package models for deployment on Azure ML/Fabric, with MLflow-based registry, monitoring, and retraining pipelines

Skills/Requirements
  • 4-8 years of data science and/or ML engineering experience, with demonstrated production model deployment (not just notebook analysis)
  • Behavioral analytics expertise - has built retention, churn, or engagement models using event-level behavioral data (session logs, clickstreams, transaction sequences)
  • Strong Python and SQL skills - pandas, scikit-learn, XGBoost, statsmodels; can query the data warehouse independently (a mix of on-prem SQL Server and Salesforce today, migrating to Microsoft Fabric/OneLake) without relying on a data engineer for every analysis
  • Statistical rigor - survival analysis, A/B test design, causal inference, regression modeling; understands the difference between correlation and causation
  • Machine learning breadth - classification, regression, clustering, recommendation systems; can select the right modeling approach for each problem
  • Data communication skills - can translate model outputs into business-friendly language that game designers and commercial leaders can act on
  • Experience with messy, real-world data - comfortable where game features aren't fully documented and pipelines are still being built; doesn't require perfect data to deliver value
  • Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or related quantitative field

Preferred
  • Gaming, mobile gaming, or consumer behavioral analytics experience
  • Familiarity with casino game mechanics - RTP, volatility, Hold & Spin, theo index
  • Experience with time series analysis and anomaly detection for IoT/sensor data
  • Knowledge of responsible gambling data considerations
  • Experience with MLflow, Azure ML, or Fabric Notebooks/Spark for model lifecycle management

Note: All offers are contingent upon successful completion of a background check
*Posted positions are not open to third party recruiters and unsolicited resume submissions will be considered free referrals.
AGS is an equal opportunity employer
Job Snapshot
  • Location:
    Atlanta, Georgia
    Duluth, Georgia
  • Job Type:
    Executive/HR/IT
  • Date Posted:
    07/20/2026

About Us
AGS is a global company focused on creating a diverse mix of entertaining gaming experiences for every kind of player. Our roots are firmly planted in the Class II Native American gaming market, and our customer-centric culture and growth have helped us branch out to become a leading all-inclusive commercial gaming supplier. Powered by high-performing Class II and Class III slot products, an expansive table products portfolio, real-money gaming platforms and content, highly rated social casino solutions for operators and players, and best-in-class service, we offer an unmatched value proposition for our casino partners. Learn more at www.playags.com.
Job Snapshot
  • Location:
    Atlanta, Georgia
    Duluth, Georgia
  • Job Type:
    Executive/HR/IT
  • Date Posted:
    07/20/2026

Job Description
Job Overview
The Data Scientist / ML Engineer builds and deploys predictive models and analytical systems that turn AGS's player and game data into quantitative insights that directly improve game design and commercial decisions. This role bridges behavioral data science (understanding how players interact with games) and production ML engineering (deploying models that actually reach decision-makers). It feeds game designers with data-driven design recommendations for the ML-driven game design initiative, supports yield management with predictive models for Interactive YieldMax, and enables operators to understand their player base more deeply - anchored to AGS's Tech & Data hero mission of an accessible data layer with live KPIs powering every decision.
Responsibilities
  • Build player session behavioral models - retention prediction, abandonment modeling, post-bonus behavior analysis, and bet escalation modeling from iGaming session data
  • Develop game performance prediction models - predict WPUPD, time on device, and floor longevity from game specification features and historical performance data, using a game feature extraction pipeline that reverse-engineers existing titles into structured, reusable features
  • Build math model optimization analytics - analyze actual vs. theoretical RTP, hit frequency, and bonus frequency; identify math model anomalies across the deployed fleet
  • Create player segmentation models - cluster players into behavioral archetypes (bonus hunters, jackpot chasers, base game grinders) to inform game design and operator recommendations
  • Support the Interactive YieldMax yield-management tool - build the underlying models that predict which AGS game maximizes performance in a given floor position, operator property, and player demographic
  • Build predictive maintenance models - analyze cabinet error logs and, as sensor/telemetry pipelines mature (Dynamics Field Service / Dataverse), incorporate telemetry to identify failure precursor patterns and predict component failures
  • Feed game design decisions - translate model outputs into game designer-friendly insights that are actionable in the game specification process
  • Design and analyze A/B tests - experimental design, statistical analysis, and results interpretation for game math variant testing (where regulatorily permitted)
  • Productionalize models - package models for deployment on Azure ML/Fabric, with MLflow-based registry, monitoring, and retraining pipelines

Skills/Requirements
  • 4-8 years of data science and/or ML engineering experience, with demonstrated production model deployment (not just notebook analysis)
  • Behavioral analytics expertise - has built retention, churn, or engagement models using event-level behavioral data (session logs, clickstreams, transaction sequences)
  • Strong Python and SQL skills - pandas, scikit-learn, XGBoost, statsmodels; can query the data warehouse independently (a mix of on-prem SQL Server and Salesforce today, migrating to Microsoft Fabric/OneLake) without relying on a data engineer for every analysis
  • Statistical rigor - survival analysis, A/B test design, causal inference, regression modeling; understands the difference between correlation and causation
  • Machine learning breadth - classification, regression, clustering, recommendation systems; can select the right modeling approach for each problem
  • Data communication skills - can translate model outputs into business-friendly language that game designers and commercial leaders can act on
  • Experience with messy, real-world data - comfortable where game features aren't fully documented and pipelines are still being built; doesn't require perfect data to deliver value
  • Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or related quantitative field

Preferred
  • Gaming, mobile gaming, or consumer behavioral analytics experience
  • Familiarity with casino game mechanics - RTP, volatility, Hold & Spin, theo index
  • Experience with time series analysis and anomaly detection for IoT/sensor data
  • Knowledge of responsible gambling data considerations
  • Experience with MLflow, Azure ML, or Fabric Notebooks/Spark for model lifecycle management

Note: All offers are contingent upon successful completion of a background check
*Posted positions are not open to third party recruiters and unsolicited resume submissions will be considered free referrals.
AGS is an equal opportunity employer
About Us
AGS is a global company focused on creating a diverse mix of entertaining gaming experiences for every kind of player. Our roots are firmly planted in the Class II Native American gaming market, and our customer-centric culture and growth have helped us branch out to become a leading all-inclusive commercial gaming supplier. Powered by high-performing Class II and Class III slot products, an expansive table products portfolio, real-money gaming platforms and content, highly rated social casino solutions for operators and players, and best-in-class service, we offer an unmatched value proposition for our casino partners. Learn more at www.playags.com.