Sr Data Scientist- 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.

The Role

The Senior Data Scientist uses statistical modeling and machine learning tools to support business initiatives such as revenue maximization, personalization, and anomaly detection. The incumbent utilizes ticketing data at AXS to build and deploy scalable data science tools. This position collaborates with a dynamic team and works with various business stakeholders.

What Will You Do?

• Machine Learning Modeling and Deployment - Contribute to the full data science lifecycle from model design, development, deploying/building data pipelines, and evaluating alignment with business goals


• Business Strategy and Project Management - Translate requests and problems into frameworks for improving pricing strategy performance, driving value, and impacting business outcomes. Provide mentoring to junior data scientists and support the recruiting and hiring process for the data science team.


• Business Collaboration - Effectively collaborate with business partners to communicate findings, understand key pricing problems, and define strategic priorities.


• Technical Exploration and Research- Explore key development in data science and machine learning tools and algorithms. Identify needs, explore relevant data, and develop applicable tools to drive business decisions and strategy-making.

What Will You Bring?

• BS/MA/MS Degree (PhD preferred) in a Quantitative field such as Econometrics, Statistics, Operations Research, Machine Learning, Applied Mathematics, Computer Science, or related technical area


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  The experience level will vary based on the candidate’s degree level

  1) PhD Candidates: 1-2 years related experience, or

  2) Master of Science Candidates: 2-4 years related experience; or

  3) Bachelor of Science Candidates: 5+ years of related experience



• Experience with applied statistical, machine learning modeling, recommendation systems, and deployment experience

Bonus points if You Have

• Experience on pricing strategy and revenue management 


• Experience with Git, bash/UNIX scripting 

Pay Scale: $125,000- $140,000

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

Benefits: 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.

*Employer does not offer work visa sponsorship for this position.

What’s in it for You?

• Extraordinary People – we’re not kidding!


• Meaningful Mission – Helping revolutionize an industry and deliver better experiences for fans and clients around the world.


• Development and Learning – Opportunities for learning and leveling up through training and education reimbursement.


• Community & Belonging – A range of Employee Resource Groups (ERGs) that foster connection, inclusion, and professional growth. Access to meaningful volunteer opportunities and community engagement programs to make a positive impact beyond the workplace.

More about AXS

, a subsidiary of , sells millions of tickets each year for 1600+ premier venues, sports teams, and event organizers across North America, Europe, Asia, Australia and New Zealand. Headquartered in Downtown Los Angeles, California, AXS employs more than 900 professionals in multiple locations worldwide. In each location you’ll find a team of dedicated, diverse employees (we’ve dubbed ourselves "Fanatix") who create groundbreaking products and services in a fun, fast-paced environment.

To learn more about our culture and values, visit:

More about AEG

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.

We are dedicated to a diverse, inclusive and authentic workplace, so if you’re excited about this role but can't "check every box" in the job description, we encourage you to apply anyway. You may be the right candidate for this or other roles.

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.

AEG's policy is to hire the most qualified applicants. We are an equal opportunity employer and will not discriminate against any individual, employee, or application for employment on the basis of race, color, marital status, religion, age, sex, sexual orientation, national origin, or any other legally protected status recognized by federal, state or local law.

 

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