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MANAGER, MODELING INSIGHTS

LEGENDS GLOBAL

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:

The essential responsibilities of this position are described under the headings above. They may be subject to change at any time due to reasonable accommodation or other reasons. Also, this document in no way states or implies that these are the only duties to be performed by the employee occupying this position.