Senior Manager, Advanced Analytics

The Role and What You’ll Do: 

In this role, you'll have the opportunity to work with partners, influence key business decisions, and drive revenue growth in the exciting world of sports and entertainment: 

• Lead development and support implementation of advanced statistical models and machine learning algorithms for pricing optimization, sales projections, and event scheduling in high-volume entertainment venues 

• Create and maintain event scoring systems to evaluate and optimize performance of daily shows and events using tailored business logic 

• Apply clustering and classification techniques to segment inventory and events, enhancing targeting and go-to-market (GTM) strategies 

• Collaborate with cross-functional teams to integrate data driven solutions into operational workflows, focusing on maximizing revenue for events throughout the calendar year 

• Develop predictive models to forecast demand, optimize inventory, and identify potential revenue opportunities using venue and local market data 

• Create and maintain dashboards and reports to communicate complex insights to both technical and non-technical stakeholders 

• Work closely with the data engineering team to ensure efficient data pipelines and model deployment 

• Continuously monitor and evaluate model performance, providing feedback and adjusting as necessary to improve accuracy and business impact. 

• Translate business problems into analytic solutions, balancing technical sophistication with practical implementation, while working closely with our Data Science team 

You Have These: 

• Bachelor's or Master's or Ph.D. in Data Science, Statistics, Economics, Computer Science, or a related quantitative field 

• 4+ years of experience applying machine learning and statistical modeling techniques to solve real-world business problems, with a focus on revenue generation and inventory optimization 

• Strong proficiency in Python and SQL, with experience working with large datasets in cloud-based environments like Snowflake 

• Expertise in developing and deploying machine learning models for pricing optimization, revenue management, demand forecasting, timed entry and event segmentation 

• Experience with time series analysis and forecasting techniques 

• Strong communication skills with the ability to translate complex technical concepts to non-technical audiences 

• Experience working with senior stakeholders and balancing high-priority projects 

We’d Love If You Also Have These: 

• Experience in the sports, entertainment, hospitality, attraction, casino, or event management industries 

• Knowledge of advanced optimization techniques and their application in business settings 

• Experience with MLOps and deploying models in production environments 

• Proficiency in data visualization tools such as Tableau or PowerBI 

• Publications or presentations at data science conferences