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
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