Senior Data Engineer & Scientist, Commercial Intelligence

International Motors, LLC; Lisle (IL); Hybrid; USD 140,000 - 190,000; Full time

Job summary

International Motors, LLC in Lisle, IL seeks a Senior Data Engineer & Data Scientist – Commercial Intelligence to build data products for Retail Sales Management. You will design scalable pipelines and models across CRM, sales, dealer, and vehicle data, embedding insights into workflows.

This role combines data engineering, data science, and commercial strategy, with ownership of delivery, mentoring others, and partnering with product, sales, and engineering teams to turn complex data into

Qualifications

• 9+ years in data engineering, analytics, or related fields.
• 2+ years of lead experience.
• Bachelor’s degree in a quantitative field; Master’s preferred.
• Strong SQL, Python, cloud platforms, and ML deployment.

Responsibilities

• Design and maintain scalable data pipelines and data products.
• Model identity resolution, data quality, and lineage across complex datasets.
• Build ML models for lead scoring, opportunity identification, and customer segmentation.
• Collaborate with Product, Sales, Commercial, UX, Data, and Engineering teams to turn problems into data solutions.
• Translate analytics into actionable intelligence embedded in dealer and sales workflows.

Skills

SQL

Python

Data pipelines

Data modeling

Analytical products

Communication

Leadership

Cloud platforms

ML/AI modeling

Education

Bachelor’s degree in quantitative field

Master’s degree in CS/DS

12+ years data engineering/analytics

Tools

Palantir Foundry

Databricks

Lakehouse patterns

Job description

International Motors, LLC in Lisle, IL seeks a Senior Data Engineer & Data Scientist – Commercial Intelligence to build data products for Retail Sales Management. You will design scalable pipelines and models across CRM, sales, dealer, and vehicle data, embedding insights into workflows.

This role combines data engineering, data science, and commercial strategy, with ownership of delivery, mentoring others, and partnering with product, sales, and engineering teams to turn complex data into