Data Scientist — Commercial Analytics & AI Solutions

Marmon Holdings, Inc.; Carol Stream (IL); Hybrid; USD 80,000 - 120,000; Full time

Benefits offered by this job

Medical, Dental, Vision insurance

Health Advocate

401(k) with company match

Wellness programs

Job summary

Marmon Holdings, Inc. invites a Data Scientist to join its Commercial Analytics team, focusing on pricing, lifecycle performance, and customer behavior.

You’ll convert business questions into AI-enabled, decision-ready solutions and collaborate across analytics and IT to push analytics into production. You will design and operationalize models, dashboards, and data pipelines, leveraging GenAI to accelerate insight generation while communicating results to executives.

Qualifications

• Bachelor’s degree in a quantitative field is required or encouraged for advanced roles.
• Proficiency in Python for data analysis, modeling, and automation.
• Strong SQL skills for querying large datasets.
• Experience with machine learning models and data-driven analytics.

Responsibilities

• Translate business requirements into analytical and AI solutions, ensuring outputs are decision-ready and actionable.
• Work with large, complex datasets from multiple sources to ensure quality and rigor.
• Design predictive, explanatory, and optimization models (forecasting, segmentation, scenario modeling).
• Define KPIs and measurement frameworks aligned with business outcomes.
• Develop data pipelines and collaborate with IT Data Engineering for data lake/warehouse integration.
• Build and deploy ML/AI models to address pricing, lifecycle performance, and customer behavior.

Skills

Statistical analysis

Machine learning

GenAI / AI in analytics

Data storytelling

Stakeholder communication

Education

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or Engineering

Master’s degree encouraged

Tools

Python

SQL

Power BI

Azure ML / Fabric

Copilot tools

Job description

Marmon Holdings, Inc. invites a Data Scientist to join its Commercial Analytics team, focusing on pricing, lifecycle performance, and customer behavior.

You’ll convert business questions into AI-enabled, decision-ready solutions and collaborate across analytics and IT to push analytics into production. You will design and operationalize models, dashboards, and data pipelines, leveraging GenAI to accelerate insight generation while communicating results to executives.