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Sphere Entertainment Group, LLC

Senior Director Applied Data Science

Sphere Entertainment Group, LLC · New York City, NY

Posted 12 days ago

or apply directly on Sphere Entertainment Group, LLC's site. We never take the application ourselves.

Is this posting real?

This role has been open
12 days
Sphere Entertainment Group, LLC's roles stay open a median of 31 days
Reposted
No
Salary listed
No
0% of Sphere Entertainment Group, LLC's roles list one
Ghost-job risk at Sphere Entertainment Group, LLC
moderate
9 stale, 2 reposted of 28 open
Hiring momentum
56 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

Measured from postings appearing on and disappearing from Sphere Entertainment Group, LLC's own greenhouse board since 2026-08-03. Full hiring picture for Sphere Entertainment Group, LLC.

About this role

The Senior Director of Applied Data Science at Sphere Entertainment will lead data science initiatives focused on revenue growth and optimization for ticketing and hospitality products. This role involves developing methodologies for demand forecasting, pricing, and yield management, while collaborating with various departments to ensure data-driven decision-making. The director will also build and mentor a team of data scientists, ensuring that analytical insights are effectively communicated to stakeholders.

Our read on this posting3.2out of 5
benefits
2/5
freshness
4/5
career value
5/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Sphere Entertainment Group, LLC as an employer.

What you need

  • 10+ years of relevant experience in data science, statistics, econometrics, revenue management, forecasting, quantitative analytics, operations research, or a related field
  • Demonstrated experience leading data science teams or complex quantitative initiatives
  • Deep expertise in demand forecasting, statistical modeling, predictive analytics, and optimization
  • Demonstrated experience applying data science to pricing, revenue management, yield optimization, or a similar commercial environment
  • Strong understanding of statistical and economic concepts including demand modeling, price elasticity, probability, forecasting, and optimization
  • Strong experience with Python, R, Stata, or another statistical/programming language

Nice to have

  • Experience in entertainment, live events, ticketing, hospitality, travel, airlines, gaming, e-commerce, or another industry involving dynamic demand and perishable inventory
  • Experience with dynamic pricing or sophisticated revenue-management systems
  • Experience building demand forecasting or optimization capabilities from the ground up
  • Experience working with transactional, behavioral, customer, marketing, and inventory data
  • Experience with time-series forecasting, hierarchical forecasting, Bayesian methods, econometrics, or mathematical optimization

What you get

  • Pay Range $200,000 — $230,000 USD
  • Robust set of tools and resources for upskilling employees
  • Focus on employee growth and longevity

Worth weighing

  • Role involves significant collaboration across departments, which may require strong interpersonal skills
  • High expectations for analytical transparency and model explainability
  • The position requires explaining complex concepts to non-technical stakeholders, which may be challenging for some
  • No specific mention of remote work or flexibility in work arrangements

Summarised from Sphere Entertainment Group, LLC's posting. Read the full original.

Listed by Sphere Entertainment Group, LLC on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

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