Manger, Modeling Insights

Legends Global

Frisco, TX, US
Base: $90,000 - $100,000; bonus/equity: + bonus po...
Hybrid
Python pandas numpy scikit-learn scipy
Strong grounding in statistics and bayesian methods
Experience with large language models (llms) in applied workflows
The role involves building and maintaining statistical, Bayesian, and machine learning models for use cases like lead scoring and demand forecasting

Job Summary

  • The role involves building and maintaining statistical, Bayesian, and machine learning models for use cases like lead scoring and demand forecasting.
  • Candidates will apply LLMs to work with unstructured data and integrate them into analytics and decision workflows.
  • The position offers a competitive salary range of $90,000 - $100,000 plus bonus potential and a generous benefits package.

Matching Summary

The role involves building and maintaining statistical, Bayesian, and machine learning models for use cases like lead scoring and demand forecasting.

Salary

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

Skills & Requirements

Must-have

  • Python Pandas NumPy scikit-learn SciPy
  • Strong grounding in statistics and Bayesian methods
  • Experience with large language models (LLMs) in applied workflows
  • Cloud-based data and analytics environments Azure Datarobot
  • Feature engineering and model evaluation

Nice-to-have

  • Experience in sports entertainment or media industry
  • Familiarity with distributed data processing Databricks
  • REST API development using Flask
  • Web scraping skills with Selenium and JavaScript
  • Model deployment and ML engineering patterns

Key Requirements

  • 4-7 years of experience manipulating data sets and building statistical models
  • Bachelor's degree in a quantitative field (Master's or PhD preferred)

Work Rights

Not specified

Tailored Resume

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