Director of Data Science

Company Information

For more than 20 years, AEG has played a pivotal role in transforming sports and live entertainment. Annually, we host more than 160 million guests, promote more than 10,000 shows and present more than 22,000 events around the world. We are committed to innovation, artistry, and community, and leverage the power of our 300+ venues, leading sports franchises, marquee music brands, integrated entertainment districts, premier ticketing platform and global sponsorship activations, to create memorable moments that give the world reason to cheer.

Our business is interwoven with the human mind and heart, and we strive to build a diverse and inclusive company that reflects the artists, athletes, and fans that we host; reach beyond traditional boundaries to support the communities in which we operate; and minimize our impact on the environment by adopting sustainable practices throughout our business operations.

If you want to be challenged to up your game and make a difference, then join us in giving the world reason to cheer!

Job Summary

We are seeking a visionary Director of Data Science who will serve as a strategic leader in transforming how our organization leverages data to drive business decisions in the live entertainment industry. This role demands exceptional critical thinking skills, a keen eye for identifying untapped opportunities, and the ability to translate complex mathematical and statistical insights into actionable business strategies. Reporting to the VP of Data & Analytics and working closely with the Directors of Business & Consumer Analytics, this role will be responsible designing and implementing sophisticated models, then translating technical insights into clear business value propositions. Incumbent will start and gradually grow a team of data scientists who employ a diverse ecosystem of creative machine learning models, applied experience in artificial intelligence, and advanced statistical analyses.

Essential Functions

• Focus on research and development through statistical modeling of large amounts of data; identify patterns and trends in data sets to use towards predictive analytics; develop actionable insights to guide data-driven decision making for AEG Presents. Data concepts we'll be analyzing include ticket purchases, marketing campaigns, audience engagement, ancillary revenue, and much more.
• While working on a team that focuses on Business & Consumer Analytics, this role will work with all areas of the business, including Product, Marketing, Ticketing, Promoting, Venue Ops, & more. Working with these teams, this role will be responsible in developing a data science plan that allows the functions to use ML and AI to create sustained value to revenue, customer experience, and operations.
• Develop and execute comprehensive data science strategy aligned with business objectives, including predictive analytics for ticket sales, dynamic pricing models, and audience segmentation
• Collaborate with data engineering team to integrate data collection, data quality and core model output into production systems, to automate and advance built out algorithms and models.
• Continuously scan the entertainment industry landscape to identify emerging trends and competitive advantages through advanced analytics
• Model performance reviews and ongoing maintenance

Required Qualifications

Payscale : $174,211- $182,921.55

Bonus : This position is eligible for a bonus under the current bonus plan requirements.

Benefits : Full-time : We offer a comprehensive benefits package that includes : medical, dental and vision insurance, paid holidays, vacation and sick time, company paid basic life insurance, voluntary life insurance, parental leave, 401k Plan (with a current employer match of 3%), flexible spending and health savings account options, and wellness offerings.

AEG reserves the right to change or modify the employee's job description whether orally or in writing, at any time during the employment relationship. AEG may require an employee to perform duties outside their normal description.