Machine Learning Engineer
Duluth, GA · On-site
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 ...
Machine Learning Engineer
Duluth, GA · On-site
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 ...
Data Analyst
$40/hr
Bachelor's degree in Engineering, Computer Science, Information Science, Business/Management ... quantitative field
Data Analyst
$40/hr
Bachelor's degree in Engineering, Computer Science, Information Science, Business/Management ... quantitative field
Principal Actuarial Data Scientist
Atlanta, GA · On-site
$120 - $180/hr
... quantitative models, and oversee their application in production. You will be responsible for a wide variety of analytical tasks and will be responsible for leading a small team of Data Engineers and ...
Principal Actuarial Data Scientist
Atlanta, GA · On-site
$120 - $180/hr
... quantitative models, and oversee their application in production. You will be responsible for a wide variety of analytical tasks and will be responsible for leading a small team of Data Engineers and ...
Data Scientist Sr Lead
Atlanta, GA · On-site +1
Lead independent quantitative research initiatives, leveraging multiple data sources to generate innovative insights and identify new business opportunities. * Partner with product, engineering ...
Data Scientist Sr Lead
Atlanta, GA · On-site +1
Lead independent quantitative research initiatives, leveraging multiple data sources to generate innovative insights and identify new business opportunities. * Partner with product, engineering ...
Data Scientist Sr Lead
Atlanta, GA · On-site +1
Lead independent quantitative research initiatives, leveraging multiple data sources to generate innovative insights and identify new business opportunities. * Partner with product, engineering ...
Data Scientist Sr Lead
Atlanta, GA · On-site +1
Lead independent quantitative research initiatives, leveraging multiple data sources to generate innovative insights and identify new business opportunities. * Partner with product, engineering ...
Data Analyst
Atlanta, GA · On-site
... quantitative field preferred Intermediate SQL knowledge familiar with aggregating, joins ... Engineering, Computer Science, Information Science, Business/Management, Mathematics/Statistics ...
Data Analyst
Atlanta, GA · On-site
... quantitative field preferred Intermediate SQL knowledge familiar with aggregating, joins ... Engineering, Computer Science, Information Science, Business/Management, Mathematics/Statistics ...
Data Scientist
Atlanta, GA · On-site
Experience using analytical programming languages such as Python or R and SQL for data analysis. Preferred Qualifications * Preferred: Doctoral degree in a related quantitative discipline.
Data Scientist
Atlanta, GA · On-site
Experience using analytical programming languages such as Python or R and SQL for data analysis. Preferred Qualifications * Preferred: Doctoral degree in a related quantitative discipline.
Data Scientist
Dahlonega, GA · On-site
Experience using analytical programming languages such as Python or R and SQL for data analysis. Preferred Qualifications * Preferred: Doctoral degree in a related quantitative discipline.
Data Scientist
Dahlonega, GA · On-site
Experience using analytical programming languages such as Python or R and SQL for data analysis. Preferred Qualifications * Preferred: Doctoral degree in a related quantitative discipline.
Data Analyst
Atlanta, GA · On-site
$70K - $75K/yr
Mathematics, Applied Mathematics, Statistics, Quantitative Economics, Data Science, Quantitative Finance, Computational Finance, or Finance Engineering * 1+ years industry experience as Data Analyst
Data Analyst
Atlanta, GA · On-site
$70K - $75K/yr
Mathematics, Applied Mathematics, Statistics, Quantitative Economics, Data Science, Quantitative Finance, Computational Finance, or Finance Engineering * 1+ years industry experience as Data Analyst
Lead AI and Data Science Engineer II
Atlanta, GA · On-site
$98K - $129K/yr
... quantitative discipline * 6+ years of experience in data science, analytics, or applied research ... Lead AI and Data Science Engineer II Drive the design and delivery of advanced analytics ...
Lead AI and Data Science Engineer II
Atlanta, GA · On-site
$98K - $129K/yr
... quantitative discipline * 6+ years of experience in data science, analytics, or applied research ... Lead AI and Data Science Engineer II Drive the design and delivery of advanced analytics ...
Lead AI and Data Science Engineer II
Atlanta, GA · On-site
$98K - $129K/yr
Lead AI and Data Science Engineer II Drive the design and delivery of advanced analytics ... quantitative discipline * 6+ years of experience in data science, analytics, or applied research
Lead AI and Data Science Engineer II
Atlanta, GA · On-site
$98K - $129K/yr
Lead AI and Data Science Engineer II Drive the design and delivery of advanced analytics ... quantitative discipline * 6+ years of experience in data science, analytics, or applied research
Director, Predictive Modeling
Atlanta, GA · On-site
Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, Engineering, Data Science, Operations Research, or a related quantitative field. * Master's degree preferred or PhD in ...
Director, Predictive Modeling
Atlanta, GA · On-site
Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, Engineering, Data Science, Operations Research, or a related quantitative field. * Master's degree preferred or PhD in ...
Director, Predictive Modeling
Atlanta, GA · On-site
Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, Engineering, Data Science, Operations Research, or a related quantitative field. * Master's degree preferredor PhD in ...
Director, Predictive Modeling
Atlanta, GA · On-site
Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, Engineering, Data Science, Operations Research, or a related quantitative field. * Master's degree preferredor PhD in ...
Data Scientist
Atlanta, GA · On-site
... Engineering. Incumbents whose focus is the quantitative analysis of complex business problems and issues using data from internal and external sources to provide insight to decision-makers should be ...
Data Scientist
Atlanta, GA · On-site
... Engineering. Incumbents whose focus is the quantitative analysis of complex business problems and issues using data from internal and external sources to provide insight to decision-makers should be ...
Director, Predictive Modeling
Atlanta, GA · On-site
$169 - $200/hr
Bachelor\'s degree in Statistics, Mathematics, Computer Science, Economics, Engineering, Data Science, Operations Research, or a related quantitative field. Master\'s degree preferred or PhD in ...
Director, Predictive Modeling
Atlanta, GA · On-site
$169 - $200/hr
Bachelor\'s degree in Statistics, Mathematics, Computer Science, Economics, Engineering, Data Science, Operations Research, or a related quantitative field. Master\'s degree preferred or PhD in ...
Data Scientist
Atlanta, GA · On-site
... Engineering. Incumbents whose focus is the quantitative analysis of complex business problems and issues using data from internal and external sources to provide insight to decision-makers should be ...
Data Scientist
Atlanta, GA · On-site
... Engineering. Incumbents whose focus is the quantitative analysis of complex business problems and issues using data from internal and external sources to provide insight to decision-makers should be ...
Sr Data Scientist
Atlanta, GA · On-site
$94.50 - $115.50/hr
You will work closely with data engineers, analysts, software developers and product managers ... quantitative disciplines such as statistics, mathematics, physics or engineering. What You'll Get
Sr Data Scientist
Atlanta, GA · On-site
$94.50 - $115.50/hr
You will work closely with data engineers, analysts, software developers and product managers ... quantitative disciplines such as statistics, mathematics, physics or engineering. What You'll Get
Data Scientist
Atlanta, GA · On-site
Partner with engineering to design prompt experiments, agent variants, and structured-output schema ... quantitative success metrics. * Communicate findings through written reports, dashboards, and ...
Quick apply
Data Scientist
Atlanta, GA · On-site
Partner with engineering to design prompt experiments, agent variants, and structured-output schema ... quantitative success metrics. * Communicate findings through written reports, dashboards, and ...
Sr. Principal Coach
Atlanta, GA · Hybrid
Translate qualitative and quantitative data into strategic recommendations for continuous improvement. Collaborate with engineers and analysts to build scalable data pipelines and models. Ensure data ...
Sr. Principal Coach
Atlanta, GA · Hybrid
Translate qualitative and quantitative data into strategic recommendations for continuous improvement. Collaborate with engineers and analysts to build scalable data pipelines and models. Ensure data ...
Senior People Analytics Engineer
$94K - $129K/yr
... data engineering and analytics within the team. Qualifications * Education: Bachelor's Degree in a quantitative field (e.g., Computer Science, Engineering, Statistics, or a similar discipline)
Senior People Analytics Engineer
$94K - $129K/yr
... data engineering and analytics within the team. Qualifications * Education: Bachelor's Degree in a quantitative field (e.g., Computer Science, Engineering, Statistics, or a similar discipline)
Quantitative Data Engineer information
What are the key skills and qualifications needed to thrive as a quantitative data engineer, and why are they important?
To excel as a Quantitative Data Engineer, you need strong proficiency in programming (such as Python, R, or C++), advanced mathematical and statistical knowledge, and a relevant degree in computer science, mathematics, or a related field. Experience with big data tools (like Spark, Hadoop), cloud platforms, and data pipeline systems, as well as familiarity with financial data sets, is typically required. Analytical thinking, detail orientation, and effective problem-solving skills distinguish top performers in this role. These competencies are critical for efficiently transforming complex data into actionable insights and supporting robust quantitative models in data-driven environments.
What is a quantitative data engineer?
A Quantitative Data Engineer is a professional who designs, builds, and maintains data infrastructure that supports quantitative analysis, typically in finance or technology sectors. They work closely with quantitative analysts and data scientists to ensure efficient data pipelines, data quality, and high-performance systems for processing large datasets. Their responsibilities include developing ETL processes, optimizing databases, and implementing data models to support research and trading strategies. Strong programming skills, expertise in big data technologies, and knowledge of quantitative methods are essential for this role.
What is the difference between Quantitative Data Engineer vs Data Scientist?
| Aspect | Quantitative Data Engineer | Data Scientist |
|---|---|---|
| Primary Focus | Building data pipelines, data infrastructure, and ensuring data quality | Analyzing data, creating models, and deriving insights |
| Skills & Tools | SQL, Python, Spark, ETL processes, data architecture | Statistics, machine learning, Python/R, data visualization |
| Credentials | Computer science, engineering, or related degrees; certifications in data engineering | Statistics, data science, or related degrees; certifications in data analysis or machine learning |
| Work Environment | Data engineering teams, data infrastructure projects | Data analysis teams, research, and modeling projects |
While both roles work closely with data, Quantitative Data Engineers focus on building and maintaining data systems, whereas Data Scientists analyze data to generate insights and models. They often collaborate but have distinct skill sets and responsibilities within data-driven organizations.
How does a quantitative data engineer typically collaborate with data scientists and quantitative analysts on projects?
Quantitative Data Engineers work closely with data scientists and quantitative analysts to design, build, and optimize data pipelines that support complex modeling and analytics. They are often responsible for ensuring data quality, scalability, and efficient data processing, enabling analysts to focus on developing models and extracting insights. Regular collaboration includes translating analytical requirements into technical solutions, troubleshooting data issues, and iterating on data infrastructure to support evolving project needs. This teamwork fosters an environment where technical and analytical expertise complement each other, leading to more robust and actionable results.
What are popular job titles related to Quantitative Data Engineer jobs in Georgia? For Quantitative Data Engineer jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Quantitative Data Engineer jobs in Georgia look for? The top searched job categories for Quantitative Data Engineer jobs in Georgia are:
What cities in Georgia are hiring for Quantitative Data Engineer jobs? Cities in Georgia with the most Quantitative Data Engineer job openings:
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.