We are seeking talented individuals to join our Data Science team developing machine learning solutions and analytics capabilities that power our Intelligence Platform for casino clients.
The Data Scientist role builds and maintains predictive models anomaly detection systems and analytical tools that help casinos optimize player development gaming operations and compliance monitoring. This role will work closely with data engineers product teams and fellow data scientists to design and deploy data-driven solutions. The Data Scientist is responsible for developing models across the full lifecyclefrom exploratory analysis and feature engineering through production deployment and ongoing monitoring.
Essential Duties and Responsibilities
Build and maintain statistical models machine learning algorithms and predictive analytics using gaming and behavioral data (segmentation churn prediction and lifetime value models)
Create anomaly detection systems for fraud and compliance monitoring
Collaborate with data engineers to collect and preprocess data and build and maintain data pipelines
Design A/B testing frameworks and experiment analyses to test hypotheses and measure the effectiveness of solutions
Document models and use data visualization tools to communicate insights and findings to stakeholders
Requirements
BS/MS in a quantitative field or equivalent experience; years of experience commensurate with level
Strong Python programming skills and proficiency in SQL for data extraction and analysis
Strong foundation in statistics and experimentation: hypothesis testing probability distributions regression analysis metric design etc.
Experience with machine learning frameworks (scikit-learn pandas) and deep learning libraries (PyTorch or TensorFlow) along with fundamental ML concepts (model evaluation cross-validation feature engineering)
Strong communication and story-telling skills and ability to work collaboratively with cross-functional teams
Intellectual curiosity and comfort with ambiguity; were building new things not following playbooks
Certified Banana Picker
Preferred Experience
Experience with cloud platforms especially AWS (S3 SageMaker Lambda etc)
Exposure to time-series analysis survival models or probabilistic modeling
Familiarity with model lifecycle management CI/CD containers model monitoring and feature stores
Exposure to causal inference concepts (A/B testing uplift modeling experimental vs. observational data)
Experience with data visualization (matplotlib seaborn plotly etc.)
About CCT
Founded in 2012 CCT pioneered revenue audit automation for land-based casinos eliminating manual reconciliation processes and improving financial visibility. The companys flagship platform Insight Cash provides a detailed audit-ready view of cash transactions across the casino floor ensuring compliance operational efficiency and fraud prevention. Today CCT serves over 350 casinos across the United States Canada and the Caribbean helping operators streamline financial workflows and reduce audit-related labor costs.
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
IC
SummaryWe are seeking talented individuals to join our Data Science team developing machine learning solutions and analytics capabilities that power our Intelligence Platform for casino clients.The Data Scientist role builds and maintains predictive models anomaly detection systems and analytical to...
Summary
We are seeking talented individuals to join our Data Science team developing machine learning solutions and analytics capabilities that power our Intelligence Platform for casino clients.
The Data Scientist role builds and maintains predictive models anomaly detection systems and analytical tools that help casinos optimize player development gaming operations and compliance monitoring. This role will work closely with data engineers product teams and fellow data scientists to design and deploy data-driven solutions. The Data Scientist is responsible for developing models across the full lifecyclefrom exploratory analysis and feature engineering through production deployment and ongoing monitoring.
Essential Duties and Responsibilities
Build and maintain statistical models machine learning algorithms and predictive analytics using gaming and behavioral data (segmentation churn prediction and lifetime value models)
Create anomaly detection systems for fraud and compliance monitoring
Collaborate with data engineers to collect and preprocess data and build and maintain data pipelines
Design A/B testing frameworks and experiment analyses to test hypotheses and measure the effectiveness of solutions
Document models and use data visualization tools to communicate insights and findings to stakeholders
Requirements
BS/MS in a quantitative field or equivalent experience; years of experience commensurate with level
Strong Python programming skills and proficiency in SQL for data extraction and analysis
Strong foundation in statistics and experimentation: hypothesis testing probability distributions regression analysis metric design etc.
Experience with machine learning frameworks (scikit-learn pandas) and deep learning libraries (PyTorch or TensorFlow) along with fundamental ML concepts (model evaluation cross-validation feature engineering)
Strong communication and story-telling skills and ability to work collaboratively with cross-functional teams
Intellectual curiosity and comfort with ambiguity; were building new things not following playbooks
Certified Banana Picker
Preferred Experience
Experience with cloud platforms especially AWS (S3 SageMaker Lambda etc)
Exposure to time-series analysis survival models or probabilistic modeling
Familiarity with model lifecycle management CI/CD containers model monitoring and feature stores
Exposure to causal inference concepts (A/B testing uplift modeling experimental vs. observational data)
Experience with data visualization (matplotlib seaborn plotly etc.)
About CCT
Founded in 2012 CCT pioneered revenue audit automation for land-based casinos eliminating manual reconciliation processes and improving financial visibility. The companys flagship platform Insight Cash provides a detailed audit-ready view of cash transactions across the casino floor ensuring compliance operational efficiency and fraud prevention. Today CCT serves over 350 casinos across the United States Canada and the Caribbean helping operators streamline financial workflows and reduce audit-related labor costs.
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
About CCT CCT is the creator of Casino Insight™, the award-winning platform trusted by more than 350 casinos worldwide to automate cage operations, revenue audits, and operational analysis. Since 2012, Casino Insight has helped casinos replace manual work with streamlined workflows, i
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