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 lifecycle—from 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; we're 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 company’s 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.