Senior Data Scientist

Company:
Location: Los Angeles, CA

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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 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.

The Role

AXS is seeking a Sr. Data Scientist to join our team in Downtown Los Angeles. This person will work on the exciting and challenging aspects of pricing and revenue management in the ticketing industry using statistical modeling and machine learning. You will gain hands on experience utilizing the rich set of ticketing data at AXS, building and deploying scalable data science tools. You will also collaborate with a dynamic team, work with various business stakeholders and make strong business impacts.

What You'll Do:

  • Contribute to the full data science lifecycle from model design, development, deploying/building data pipelines, and evaluating alignment with business goals
  • Translate requests and problems into frameworks for improving pricing strategy performance, driving value, and impacting business outcomes
  • Identify needs, explore relevant data and develop applicable tools to drive business decision and strategy making
  • Effectively collaborate with business partners to communicate findings and understand key pricing problems and define strategic priorities

What to Bring:

  • MS in a quantitative field, such as Econometrics, Statistics, Operations Research, Machine Learning, Applied Mathematics, Computer Science, and other technical fields
  • 3+ years of hands-on, practical modeling and engineering experience
  • Past experience on pricing strategy and revenue management strongly preferred
  • Proficiency using SQL, Python or R
  • Experience building statistical modeling and applying machine learning techniques.
  • Experience with Git, bash/UNIX scripting preferred
  • Experience on Bayesian modeling desired but not required
  • Strong communication skills for both technical and non-technical audiences
  • Rigorous attention-to-detail, keen critical thinking skills, and pragmatic problem-solving mindset

More About AXS


AXS sells millions of tickets every year for 300+ clients in the US and Europe, from venues like the O2 in London and the Red Rocks Amphitheatre in Denver to teams like the Los Angeles Kings and the Cleveland Cavaliers. Headquartered in Downtown Los Angeles, California, we also work in wonderful offices throughout the US, the UK, and Europe. At 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. We love what we do along with our fantastic culture, enviable perks, and comprehensive benefits. To learn more about working at AXS, visit: https://solutions.axs.com/careers/

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