Spring Intern, Data Science (AXS)

Spring Intern, Data Science Intern (AXS)

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.

About AXS

AXS connects fans with the artists and teams they love. Each year we sell millions of tickets to thousands of incredible events – from concerts and festivals to sports and theater – at some of the most iconic venues in the world. Since our founding in 2011, we've consistently pushed the industry forward and improved experiences for fans, making it easier than ever to discover events, find the perfect seats, and enjoy unforgettable live entertainment, and we continue to lead the evolution of our industry today.

We're passionate about improving the fan experience and providing game-changing solutions for our clients, and we're always looking for smart, motivated people to help make it happen. Bring your enthusiasm, your big ideas, and your desire to team up with some of the best and brightest in technology and entertainment. Together we keep the world cheering.

Job Summary:

The Data Science intern will work within the Business Intelligence department and will collaborate with business operations teams to help drive efficiencies by identifying patterns, predicting outcomes, and providing actionable insights for our organization. To do this, they will collect, clean, model, and analyze data using machine learning, data engineering, and statistical analysis techniques.

Responsibilities: 

• Support team by creating data models that recommend music events and detect fraud
• Understand and optimize existing models using statistical analysis and machine learning
• Build data models that help solve high-impact business questions
• Partner closely with the data science mentor to complete and present a final project
• Assist in refining machine learning models, utilizing mathematical optimization for music recommendations and fraud detection
• Develop machine learning models for production environments.

Qualifications:

• To be eligible for this internship you must be a current student pursuing an MS degree in Statistics, Applied Mathematics, Computer Science, Economics, Business Analytics, Data Science, Machine Learning, or a related field.
• Highly organized, resourceful, and dependable, with excellent interpersonal skills and oral and written communication skills
• Strong programming proficiency in Python and SQL, with experience in data manipulation, analysis, and visualization.
• Solid understanding of machine learning concepts and mathematical optimization, with a keen interest in applying these methods to solve practical business issues.
• You have prior experience from internships, work, or projects in a related field
• Excellent written and verbal communication skills
• Desire to learn more about the sports and entertainment industry

Benefits:

• Access to real-world data about what drives live events and entertainment
• Network with professionals at a global leader in live events.
• Gain knowledge of a wildly popular and compelling industry, firsthand.
• Build a platform for future career growth – inside the company or beyond.
• Gain some tangible skills on how to work with data and apply to live event strategy.

Intern Perks:

• Outstanding opportunity to get an inside view across the entire AEG global portfolio: sports, entertainment districts, live music and events, arenas, clubs, and theaters.
• Resume review with AEG Talent Acquisition team
• Corporate networking

Location:

• Los Angeles, California (On-site)

Pay Scale: $19.00-$21.00

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.