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Data Scientist

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Legends Global

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Location:
United States , Frisco ▼

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

90000.00 - 100000.00 USD / Year
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Job Description:

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.

Job Responsibility:

  • 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

Requirements:

  • 4-7 years of experience manipulating data sets and building statistical models
  • Bachelors in a quantitative field (master’s or PhD preferred)
  • Experience in sports, entertainment, or media is a strong plus
  • 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 have:

  • 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
What we offer:
  • medical
  • dental
  • vision
  • life and disability insurance
  • paid vacation
  • 401k plan
  • bonus potential

Additional Information:

Job Posted:
February 20, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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