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Sr Data Scientist- AXS
role at
AEG .
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 theatre – 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.
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 developments 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.
The experience level will vary based on the candidate’s degree level.
PhD Candidates: 1‑2 years related experience.
Master of Science Candidates: 2‑4 years related experience.
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, 401(k) Plan (with a current employer match of 3%), flexible spending and health savings account options, and wellness offerings.
Employer Visa Policy 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 AXS, a subsidiary of AEG, 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.
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 worldwide. 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.
Equal Opportunity Statement AEG’s policy is to hire the most qualified applicants, and we comply with all applicable federal, state and local employment laws in making hiring and employee decisions. We are an equal‑opportunity employer and do not discriminate against applicants or employees on the basis of race, color, marital status, disability, religion, age, sex, sexual orientation, national origin, genetic information, veteran status, or any other legally protected status recognized by applicable federal, state or local law.
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Sr Data Scientist- AXS
role at
AEG .
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 theatre – 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.
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 developments 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.
The experience level will vary based on the candidate’s degree level.
PhD Candidates: 1‑2 years related experience.
Master of Science Candidates: 2‑4 years related experience.
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, 401(k) Plan (with a current employer match of 3%), flexible spending and health savings account options, and wellness offerings.
Employer Visa Policy 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 AXS, a subsidiary of AEG, 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.
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 worldwide. 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.
Equal Opportunity Statement AEG’s policy is to hire the most qualified applicants, and we comply with all applicable federal, state and local employment laws in making hiring and employee decisions. We are an equal‑opportunity employer and do not discriminate against applicants or employees on the basis of race, color, marital status, disability, religion, age, sex, sexual orientation, national origin, genetic information, veteran status, or any other legally protected status recognized by applicable federal, state or local law.
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