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Senior Data Scientist
AXS Los Angeles, CA
Full Time | Business Services 7 Months Ago
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AXS is Hiring a Senior Data Scientist Near Los Angeles, CA

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 (music and sports venues and promoters), 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, revenue management, and recommendation systems 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 models and tools. You will get to work with internal clients such as marketing and product on projects (e.g. events recommendations for fans), and external clients such as music and sports venues on projects (e.g. ticket price recommendation). You will also collaborate with a dynamic team, work with various business stakeholders and make strong business impacts.

What you’ll do

  • Machine Learning Modeling and Deployment at Scale (70%) - Contribute to the full data science lifecycle from model design, development, deploying/building data pipelines, and evaluating alignment with business goals
  • Project Management and Business Collaboration (15%) - Effectively collaborate with data scientists and business partners to communicate findings. Provide mentoring to junior data scientists and support the recruiting and hiring process for the data science team.
  • Technical Exploration and Research (15%) - Explore key development in data science and machine learning tools and algorithms. Identify needs, explore relevant data, and develop applicable tools to drive business decision and strategy making at AXS

What we hope you'll bring 

  • Continuous learning mindset
  • Applied statistical, machine learning modeling, recommendation systems, and deployment experience (3 years)
  • Proficiency using SQL and Python

Bonus points if you have 

  • Cloud computing for machine learning is preferred (Databricks, AWS SageMaker, Azure ML Studio)
  • BS, MS, or PhD (preferred) in a quantitative field, such as Econometrics, Statistics, Operations Research, Machine Learning, Applied Mathematics, Computer Science, and other technical fields
  • Strong communication skills for both technical and non-technical audiences
  • Rigorous attention-to-detail, keen critical thinking skills, and pragmatic problem-solving mindset

What's in it for You? 

  • A highly visible and strategic role where you will be working with stakeholders across the business, and directly with our sports and music clients
  • Massive, interesting data at your fingertips!
  • Extraordinary People – we’re not kidding!
  • Meaningful Mission - Helping revolutionize an industry and deliver better experiences for fans and clients around the world.
  • Opportunities for learning and leveling up through training and education reimbursement.

Why AXS?

AXS, a subsidiary of AEG, 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 Clippers, Minnesota Timberwolves, and Houston Rockets. 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 our culture and values, visit: https://solutions.axs.com/careers/

Job Summary

JOB TYPE

Full Time

INDUSTRY

Business Services

POST DATE

09/21/2022

EXPIRATION DATE

11/08/2022

WEBSITE

axs.com

HEADQUARTERS

LOS ANGELES, CA

SIZE

200 - 500

FOUNDED

2011

CEO

RICK BLAIR

REVENUE

<$5M

INDUSTRY

Business Services

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The job skills required for Senior Data Scientist include Data Science, Machine Learning, Python, SQL, Computer Science, Problem Solving, etc. Having related job skills and expertise will give you an advantage when applying to be a Senior Data Scientist. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Senior Data Scientist. Select any job title you are interested in and start to search job requirements.

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The following is the career advancement route for Senior Data Scientist positions, which can be used as a reference in future career path planning. As a Senior Data Scientist, it can be promoted into senior positions as a Data Scientist IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Senior Data Scientist. You can explore the career advancement for a Senior Data Scientist below and select your interested title to get hiring information.

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If you are interested in becoming a Senior Data Scientist, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Senior Data Scientist for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

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Senior Data Scientists rae responsible in formulating, suggesting, and managing data-driven projects which are geared at furthering the business's interests.

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Collating and cleaning data from various entities for later use by junior data scientists.

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Delegating tasks to Junior Data Scientists in order to realize the successful completion of projects.

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They also monitor the performance of Junior Data Scientists and providing them with practical guidance, as needed.

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May also be tasked in selecting and employing advanced statistical procedures to obtain actionable insights.

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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Senior Data Scientist jobs

Present final result to stakeholders. Make adjustments based on feedback.

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Learn the required skills to become a data scientist.

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Review additional data scientist certifications and post-graduate learning.

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Ask the right questions to begin the discovery process.

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Choose one or more potential models and algorithms.

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Step 3: View the best colleges and universities for Senior Data Scientist.

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