Data Scientist

As a Data Scientist at CNE, you will partner with a Senior Data Scientist and Analytics Manager to identify opportunities where AI/ML can create measurable business value. You will design and implement technical solutions across diverse business areas, from building data pipelines and developing models to deploying production-ready systems. This role requires creativity, technical expertise, and strong communication skills to translate ambiguous requirements into actionable insights and scalable solutions.

• Develop and maintain organized, version-controlled code bases.
• Build reliable data pipelines for feature engineering and data manipulation.
• Produce high-quality code beyond model training, ensuring robust deployment.
• Translate informal business requirements into clear problem definitions.
• Advise leadership on modeling, analytics strategy, and data-driven decision-making.
• Design and implement data storage, synthesis, and analysis frameworks.
• Review analyses for accuracy, completeness, and adherence to standards.
• Support teams throughout all phases of the analytics lifecycle.
• Create tools and methods to extract and analyze complex information.
• Prepare presentations for executive management and committees.
• Stay current through professional education and continuous learning.
• Lead or guide the work of other employees when required.

• Graduate degree (MS/PhD) or BS with equivalent experience in Statistics, Applied Mathematics, Computer Science, or related fields.
• Strong programming skills in Python, PySpark, or R; experience with frameworks such as scikit-learn and PyTorch.
• Proficiency in SQL and data manipulation using open-source tools.
• Hands-on experience with ML techniques: regression, classification, deep learning, time series, and modern approaches.
• Experience building feature pipelines, model training, evaluation, and monitoring.
• Familiarity with version control (Git preferred) and MLOps concepts/tools.
• Robust analytical and data wrangling skills with a creative approach to problem-solving.
• Strong visualization, presentation, and communication abilities.
• Ability to work independently as a professional developer, including reviewing code.
• Must be able to obtain and maintain licensing by the appropriate gaming authority.