Senior Data Scientist

Sphere Entertainment Group • Las Vegas, NV

17d • Onsite

About The Position

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.

Requirements

• 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.

Nice To Haves

• Previous experience with AWS (e.g., S3, Sagemaker, Lambda) is a plus
• Previous experience in Ticketing or the Sports industry is a plus

Responsibilities

• 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 This Job Offers

• Job Type: Full-time
• Career Level: Senior