Manager, Modeling Insights

About the role

Legends Global is the premier partner to the world’s greatest live events, venues, and brands, operating a network of 450 venues worldwide and serving 165 million guests each year. The company culture emphasizes respect, ambitious thinking, collaboration, and bold action, with a commitment to an inclusive workplace where employees can be authentic, make an impact, and grow their careers.

Responsibilities

• 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 large language models 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 the established Databricks and Azure deployment framework, guiding Claude Code to handle backend engineering work.
• Develop web applications and interactive visualizations (React, FastAPI), including supporting APIs and backend services, to deliver models and analysis directly to stakeholders, guiding Claude Code to handle frontend and supporting backend engineering work.
• Perform feature engineering, model evaluation, and impact measurement, communicating assumptions and results to both technical and non‑technical audiences.

Qualifications

• 3–5 years of experience manipulating data sets and building statistical models.
• Bachelor’s degree in a quantitative field (Master’s or PhD preferred).
• Experience in sports, entertainment, or media is a strong plus.

Skills

• Claude Code (LLM‑assisted engineering) – regular use for building and deploying models, pipelines, and stakeholder‑facing tools.
• Python (Pandas, NumPy, scikit‑learn, SciPy, FastAPI).
• Strong grounding in statistics and Bayesian methods (PyMC).
• React – for building web apps and visualizations.
• 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.

Compensation

Competitive salary between $80,000‑$90,000, commensurate with experience, plus a generous benefits package that includes medical, dental, vision, life and disability insurance, paid vacation, and a 401(k) plan.

Working Conditions

The role is based in Frisco, TX or Culver City, CA. Candidates must be located in one of these areas or be willing to relocate, with an expectation of multiple days in the office.