Manager, Modeling Insights

About 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. The role is based in Frisco, TX or Culver City, CA; candidates must be located in one of these areas or willing to relocate, with an expectation of multiple days in the office. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

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 the 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

• 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) — used regularly to build and deploy 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 that put analysis in front of stakeholders.
• Experience taking models from development to production, including CI/CD fundamentals.
• Cloud-based data and analytics environments (