Manger, Modeling Insights

Legends Global

Frisco, TX, US
Base: $90,000 - $100,000; bonus/equity: + bonus po...
Hybrid
Python pandas numpy scikit-learn scipy
Bayesian and probabilistic methods pymc
Data visualization matplotlib plotly
This role combines strong statistical foundations with modern machine learning and LLM-driven workflows to support sports and entertainment businesses

Job Summary

  • This role combines strong statistical foundations with modern machine learning and LLM-driven workflows to support sports and entertainment businesses.
  • The successful candidate will partner with stakeholders to build models for lead scoring, customer retention, demand forecasting, and segmentation.
  • The position offers a competitive salary range of $90,000 - $100,000 plus bonus potential and a generous benefits package.

Matching Summary

This role combines strong statistical foundations with modern machine learning and LLM-driven workflows to support sports and entertainment businesses.

Salary

Base: $90,000 - $100,000; Bonus/Equity: Plus bonus potential commensurate with experience; Benefits: Medical, dental, vision, life, disability, paid vacation, 401k

Skills & Requirements

Must-have

  • Python Pandas NumPy scikit-learn SciPy
  • Bayesian and probabilistic methods PyMC
  • Data visualization Matplotlib Plotly
  • Git UNIX Bash SQL usage
  • Cloud-based data analytics platforms

Nice-to-have

  • Experience in sports or entertainment industry
  • Hands-on Large Language Models OpenAI
  • Databricks distributed processing workflows
  • REST API Flask web scraping Selenium
  • Model deployment ML engineering patterns

Key Requirements

  • 4-7 years experience manipulating data sets
  • Bachelor's degree in quantitative field
  • Master's or PhD preferred
  • Hybrid work in Frisco TX or Culver City CA

Work Rights

Not specified

Tailored Resume

Cover Letter