Manger, Modeling Insights

ASM Global•Frisco, TX

4d•$90,000 - $100,000•Hybrid

About The Position

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.

Requirements

4-7 years of experience manipulating data sets and building statistical models
Bachelors in a quantitative field (master’s or PhD preferred)
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
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)
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

Nice To Haves

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

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.
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.