Manager, Modeling Insights

ASM Global•Frisco, TX

55d•$80,000 - $90,000•Hybrid

About The Position

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! 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.

Requirements

3-5 years of experience manipulating data sets and building statistical models
Bachelors in a quantitative field (Masters or PhD preferred)
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

Nice To Haves

Experience in sports, entertainment, or media is a strong plus.

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 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.