Data Scientist - Casino Marketing

About the Role

Key Responsibilities

• Develops advanced analytics solutions including predictive models, customer segmentation, optimization, test & design of experiments and prescriptive analytics to solve business problems.
• Operates as a subject matter expert on statistical analysis, test and design of experiment, analysis methodology, modeling & application, and financial impact analysis.
• Collaborates with cross-functional partners to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations.
• Delivers effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information.
• Establishes and maintains effective performance tracking; identifies improvement opportunities, formulates hypotheses, proposes, designs and implements tests to drive strategy enhancement and optimization.
• Manages multiple priorities, communicates business performance and project progress to management and business partners.
• Follows standard work processes and documentation requirements, recommends improvements to work processes to increase efficiency while maintaining quality, and continuously improves technical and leadership skills through training and development.

Requirements

• Bachelor's degree in a quantitative field such as Statistics, Computer Science, Engineering, Data Science, or related fields.
• Up to 3 years of experience in data analysis, data science, or a related field.
• Proficiency in SQL and Python, as well as machine learning (e.g., XGBoost, LightGBM, Scikit-Learn) and analytical libraries for analyzing and modeling data.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Adept at queries, report writing, and presenting findings.
• Excellent verbal and written communication skills.

Nice to Have

• Experience in the gaming industry is a plus.
• Familiarity with User Acquisition (UA) and/or Customer Relationship Management (CRM) concepts is advantageous.

Qualifications

• Experience in data analysis, data science, or related fields (up to 3 years).