Sr Data Scientist- AXS
Listed on 2026-01-27
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IT/Tech
Data Analyst, Machine Learning/ ML Engineer, Data Scientist, Data Science Manager
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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.
RoleThe 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.
- 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.
- Experience on pricing strategy and revenue management.
- Experience with Git, bash/UNIX scripting.
$125,000‑$140,000
BonusThis position is eligible for a bonus under the current bonus plan requirements.
BenefitsWe 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 PolicyEmployer 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.
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.
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