LEGENDS GLOBAL
Legends Global is the premier partner to the world's greatest live events, venues, and brands. We deliver a fully integrated solution of premium services that keeps our partners front and center through our white-label approach. Our network of 450 venues worldwide, hosting 20,000 events and entertaining 165 million guests each year, is powered by our depth of expertise and level of execution across every component feasibility & consulting, owner’s representation, sales, partnerships, hospitality, merchandise, venue management, and content & booking of world-class live events and venues.
The Legends Global culture is one of respect, ambitious thinking, collaboration, and bold action. We are committed to building an inclusive workplace where everyone can be authentic, make an impact, and grow their career. Winning is an everyday thing at Legends Global. We have the best team members who understand every win is earned when we come together as one unified team. Sounds like a winning formula for you. Join us!
THE ROLE
We’re looking for a Data Scientist who can independently take ownership of analytical and modeling problems while collaborating across technical and business teams. This role supports our sports and entertainment businesses and combines strong statistical foundations, modern machine learning, and LLM-driven workflows.
This role will engage directly with business analysts and stakeholders as well as engineering and visualization partners to understand problems and craft solutions across functions such as food & beverage, merchandise, ticket sales, and sponsorship sales.
ESSENTIAL FUNCTIONS
- Partner with business analysts and stakeholders to translate real-world questions into well-scoped analytical and modeling approaches.
- Build and maintain statistical, Bayesian, and machine learning models for use cases including lead scoring, customer retention, demand forecasting, and segmentation.
- Apply Bayesian and probabilistic methods to quantify uncertainty and improve decision-making.
- Use LLMs to work with unstructured data (classification, extraction, enrichment, summarization) and integrate them into analytics and decision workflows.
- Perform feature engineering, model evaluation, and impact measurement, clearly communicating assumptions and results.
- Develop reproducible analytical workflows using the company’s cloud-based data and analytics platform.
- Collaborate with data engineering to ensure modeling requirements align with data pipelines, architecture, and deployment patterns.
- Support a dedicated visualization team by defining metrics, datasets, and analytical context that power dashboards and reporting.
- Communicate insights and recommendations clearly to technical and non-technical audiences.
QUALIFICATIONS
Education & Experience
- 4-7 years of experience manipulating data sets and building statistical models
- Bachelors in a quantitative field (master’s or PhD preferred)
- Experience in sports, entertainment, or media is a strong plus.
Core Skills (Required)
- Python (Pandas, NumPy, scikit-learn, SciPy)
- Strong grounding in statistics and Bayesian methods (PyMC)
- Data visualization for analysis (Matplotlib, Plotly)
- Git and basic UNIX/Bash usage
- SQL
Modern Analytics & AI (Important)
- Hands-on experience using large language models (LLMs) in applied workflows (OpenAI)
- Experience working in cloud-based data and analytics environments (Azure, Datarobot)
- Familiarity with distributed data processing and collaborative notebook-based workflows (Databricks)
Preferred but not required
- REST API (HTTPS, Flask)
- Web scraping/development (Selenium, Javascript, HTTP, CSS)
- Forecasting or time-series analysis
- Exposure to model deployment or ML engineering patterns
- Experience working alongside BI or dashboarding teams
WHAT WE VALUE
- Ability to work independently while collaborating effectively across teams
- Comfort interfacing directly with business stakeholders to shape solutions
- Strong statistical intuition and pragmatic problem-solving
- Curiosity about how data drives revenue, fan engagement, and operations in sports and entertainment
COMPENSATION
Competitive salary range of $90,000 - $100,000 plus bonus potential, commensurate with experience and a generous benefits package that includes medical, dental, vision, life and disability insurance, paid vacation, and 401k plan.
WORKING CONDITIONS
Location: Hybrid (Frisco, TX or Culver City, CA)
Candidate must be based in one of these areas or willing to relocate. Expectation of multiple days in office.
PHYSICAL DEMANDS
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.
NOTE:
The essential responsibilities of this position are described below the above headings. They may be subject to change at any time due to reasonable accommodation or other reasons. Also, this document in no way states or implies that these are the only duties to be performed by the employee occupying this position.
Legends Global is an Equal Opportunity/Affirmative Action employer, and encourages Women, Minorities, Individuals with Disabilities, and protected Veterans to apply. VEVRAA Federal Contractor.
Skills Required
- 4-7 years of experience manipulating data sets and building statistical models
- Bachelor's degree in a quantitative field (master's or PhD preferred)
- Strong grounding in statistics and Bayesian methods
- Hands-on experience using large language models (LLMs)
- Experience working in cloud-based data and analytics environments
What We Do
ASM Global is the leader in privately managed public assembly facilities.
