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Data Scientist
Entertainment & Media Industry Company
Los Angeles, CA, United States
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Company is the world’s leading sports and live entertainment company with operations in the following business segments:
• Company Facilities, which with its affiliates owns, manages or consults with more than 120 venues
• Company Live, which is one of the largest live music companies in the world dedicated to live contemporary music performances, including producing and promoting global and regional concert tours, music events and world-renowned festivals
• Company Sports, which is the world’s largest operator of sports franchises and high-profile sporting events
• Company Global Partnerships, which supports each of Company’s divisions through worldwide sales and servicing of sponsorships including naming rights, premium seating and other strategic partnerships
• Company Real Estate, which develops major sports and entertainment districts worldwide
With offices on five continents, the company uses its global network of venues, portfolio of powerful sports and music brands, ticketing and content distribution platforms and its integrated entertainment districts to deliver the most creative and innovative live sports and entertainment experiences that inspire athletes, teams, artists and fans.
The Data Scientist works with the Manager, Data Science to help Company and it’s businesses discover and make decisions based on the information and insight available from data held within various databases and other sources. The Data Scientist applies data mining techniques, statistical modelling and predictive analytics to identify new opportunities and to grow existing revenue streams and to understand our fans behavior. This position is also responsible for having a strong understanding of the commercial value that data and insight can bring to a business and be able to communicate these clearly with the business.
Job Responsibilities:
• Works with the Manager, Data Science and data management team to implement the strategy needed to methodically structure, test, validate, and communicate data-driven insights from complex sources and significant volumes of data for Company’s requirements.
• Drives the full cycle of model building and ensure that Company incorporates the latest technology, tools, and methods along with the latest industry trends to identify new opportunities and communicates the results into insights and measures of business improvement and success.
• Apply’s proven methods in working with diverse data types, data scales, and structured and non-structured data, to explore and extrapolate data-driven insights using advanced, predictive statistical modeling and testing.
• Develops algorithms that result from the validation of hypotheses, and contribute to useful predictions and insights specifically related to event and venue financial performance, including ticket sales, food and beverage and merchandise.
• Develops new approaches to understand ticket buyers and event attendees, including segmentation and profiling to solve complex business problems such as optimizing event and product performance, gross and net profit and yield.
• Delivers findings and interpretation of results to the business through data visualization, presentations, or training sessions.
• Design and analysis of A/B and multivariate testing strategies that deliver incremental response gains from customer marketing programs.
Basic Qualifications:
• A minimum education level of: Master of Arts/Sciences Degree in Computer Science, Statistics, or Mathmatics.
• 3 years of related work experience.
• Advanced knowledge and experience of analytics tools such as R, SPSS and/or SAS.
• Advanced knowledge of Python and other languages used for Data Science.
• Ability to work independently to complete work objectives, as well as in a team environment.
• Working knowledge of Microsoft Office Products (Outlook, Word, Excel, PowerPoint); and ability to learn required business systems.
• Ability to work on multiple projects simultaneously while meeting tight deadlines.
• Knowledge of SQL and writing complex queries.
• Experience of noSQL, such as MongoDB, and/or Big Data projects using Hive, or Hadoop.
• Strong communication skills, including to non-technical audiences.
• High degree of initiative, integrity and curiosity for understanding patterns and behaviors through the use of data.
• Ideally an understanding of the live entertainment and sports industry.
Company reserves the right to change or modify the employee’s job description whether orally or in writing, at any time during the employment relationship. Company may require an employee to perform duties outside his/her normal description.