Sphere Entertainment

Senior Data Scientist

Las Vegas, NV
USD 75k - 140k
SQL Python Machine Learning AWS
Description

Senior Data Scientist

Location: Las Vegas, NV

Department: Standard Hiring

Sphere Entertainment Co. is a leader in immersive experiences, technology and media. The Company includes Sphere, an experiential medium powered by advanced technologies. The first Sphere opened in Las Vegas, with a second venue planned for Abu Dhabi. In addition, the Company includes MSG Networks, which operates two regional sports and entertainment networks, MSG Network and MSG Sportsnet, as well as a direct-to-consumer and authenticated streaming product, MSG+, delivering a wide range of live sports content and other programming. More information is available at www.sphereentertainmentco.com.

Who are we hiring?

The Senior Data Scientist will play a key role in building, enhancing, and maintaining advanced forecasting models to accurately predict revenue and ticket sales of future events. This position will work closely with cross-functional stakeholders to deliver actionable insights that drive strategic scheduling and event planning, ensuring optimal business outcomes.

What will you do?

  • Develop and maintain advanced forecasting models to predict revenue and ticket sales for new and upcoming events.
  • Enhance existing predictive models to improve accuracy and reliability of forecasts.
  • Communicate model performance insights, including accuracy metrics and error analysis, to stakeholders and executive leadership to drive data-informed decisions.
  • Ideate and propose innovative model features by analyzing data patterns and emerging trends to enhance predictive performance and value
  • Collaborate with business intelligence to deliver data science tools and interactive dashboards to the Revenue Management team, enabling actionable insights and data-driven decision-making.
  • Define and track key performance indicators (KPIs) to assess the effectiveness of data science initiatives.

What do you need to succeed?

  • Bachelor’s degree in Data Science, Computer Science, Business Administration, or a related field.
  • 5+ years of experience in data science, data analytics, or a related field.
  • 5+ years of experience with SQL, Python or other machine learning languages.
  • Proven expertise in developing and applying machine learning algorithms and predictive modeling techniques for time series analysis and forecasting.
  • Experience incorporating exogenous variables such as weather, promotions, intellectual property popularity, competitor events and economic indicators.
  • Familiarity with seasonality patterns (day-of-week, on-sale spikes, holiday effects)
  • Excellent verbal and written communication skills, with the ability to convey complex information clearly.
  • Strong analytical and problem-solving skills with attention to detail.
  • Previous experience with AWS (e.g., S3, Sagemaker, Lambda) is a plus
  • Previous experience in Ticketing or the Sports industry is a plus

#LI-Onsite

Pay Range
$75,000$140,000 USD

At MSG, we recognize the importance of upskilling employees’ talents and strengths so they can drive their careers forward. We are proud to offer a robust set of tools and resources to help employees understand their interests and purpose, harness their talents and obtain the skills they need to reach the next step in their careers. Growth and longevity for our employees are top priorities here.

We value diversity and are looking for extraordinary employees of all backgrounds! MSG is an Equal Opportunity Employer and provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, sexual and reproductive health choices, national origin, citizenship, age, genetic information, disability, or veteran status. In addition to federal law mandates, MSG complies with all applicable state and local laws governing nondiscrimination in all locations and will consider requests for reasonable accommodations as required.

Sphere Entertainment
Sphere Entertainment

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