Manager, Modeling Insights at Legends Global
Job Description
MANAGER, MODELING INSIGHTS
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 with Claude Code experience who can independently own analytical and modeling problems from development through production. This role combines strong statistical foundations, modern machine learning, and AI-assisted engineering — using Claude Code to build and deploy solutions within our established Databricks and Azure framework. You'll engage directly with business analysts and stakeholders as well as engineering to understand problems and ship 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.
- Build and own model training, inference, and transformation pipelines in development, and bring them to production readiness using our established Databricks and Azure deployment framework, guiding Claude Code to handle the backend engineering work.
- Build web applications and interactive visualizations (React, FastAPI) — including supporting APIs and backend services — to put models and analysis directly in front of stakeholders, guiding Claude Code to handle the frontend and supporting backend engineering work.
- Perform feature engineering, model evaluation, and impact measurement, communicating assumptions and results to technical and non-technical audiences.
QUALIFICATIONS
Experience
- 3-5 years of experience manipulating data sets and building statistical models
- Bachelors in a quantitative field (Masters or PhD preferred)
- Experience in sports, entertainment, or media is a strong plus.
Core Skills
- Claude Code (LLM-assisted engineering) — used regularly to build and deploy models, pipelines, and stakeholder-facing tools, not just prototype
- Python (Pandas, NumPy, scikit-learn, SciPy, FastAPI)
- Strong grounding in statistics and Bayesian methods (PyMC)
- React — for building web apps and visualizations that put analysis in front of stakeholders
- Experience taking models from development to production, including CI/CD fundamentals
- Cloud-based data and analytics environments (Azure, Databricks)
- Git and basic UNIX/Bash usage
- SQL
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 between $80,000-$90,000, 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: The role is based in 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 accommodations may be made to enable individuals with disabilities to perform the essential functions.
NOTE:
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