Manager, Modeling Insights

Saffire, LLC

. Partner with business analysts and stakeholders to translate real-world questions into analytical and modeling approaches .

Posted 9/15/2026full-timeFrisco • California • United StatesMid-LevelSenior💰 $80,000 - $90,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining statistical, Bayesian, and machine learning models, with a strong focus on model training, evaluation, and deployment in cloud environments. Proficient in using Python and relevant libraries to manipulate data and develop APIs, while effectively communicating results to diverse stakeholders.

Highest-signal resume keywords

Statistical ModelingBayesian MethodsPython ProgrammingAzure DeploymentReact Web Development

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Applicant Tracking System Keywords

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Hard Skills

Statistical ModelingBayesian MethodsPythonPandasNumPyScikit-learnSciPySQLFeature EngineeringModel Evaluation

Soft Skills

Problem-SolvingCollaborationCommunication

Tools & Technologies

DatabricksAzureFastAPIGitUNIX/Bash

Industry Keywords

SportsEntertainmentMedia

Tech Stack

Tools & technologies

AzureCloudNumpyPandasPythonReactScikit-LearnSQLUnix

About the role

Key responsibilities & impact

Partner with business analysts and stakeholders to translate real-world questions into analytical and modeling approaches
Build and maintain statistical, Bayesian, and machine learning models for lead scoring, customer retention, demand forecasting, and segmentation
Apply Bayesian and probabilistic methods to quantify uncertainty and improve decision-making
Use LLMs with unstructured data for classification, extraction, enrichment, and summarization
Build and own model training, inference, and transformation pipelines
Bring models and pipelines to production readiness using the Databricks and Azure deployment framework
Guide Claude Code in backend engineering work
Build web applications and interactive visualizations using React and FastAPI
Develop supporting APIs and backend services for stakeholder-facing models and analysis
Perform feature engineering, model evaluation, and impact measurement
Communicate assumptions and results to technical and non-technical audiences
Engage with functions including food & beverage, merchandise, ticket sales, and sponsorship sales

Requirements

What you’ll need

3-5 years of experience manipulating data sets and building statistical models
Bachelor’s degree in a quantitative field
Experience in sports, entertainment, or media is a strong plus
Claude Code (LLM-assisted engineering)
Python, including Pandas, NumPy, scikit-learn, SciPy, and FastAPI
Strong grounding in statistics and Bayesian methods, including PyMC
React for building web apps and visualizations
Experience taking models from development to production, including CI/CD fundamentals
Cloud-based data and analytics environments, including Azure and Databricks
Git and basic UNIX/Bash usage
SQL
Ability to work independently while collaborating effectively across teams
Comfort interfacing directly with business stakeholders
Strong statistical intuition and pragmatic problem-solving
Candidate must be based in Frisco, TX or Culver City, CA, or willing to relocate
Expectation of multiple days in office

Benefits

Comp & perks

Medical insurance
Dental insurance
Vision insurance
Life insurance
Disability insurance
Paid vacation
401k plan
Inclusive workplace and career growth opportunities