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# Data Scientist - Onsite

- **Company:** Insight Global
- **Location:** Wood Dale, IL, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Data Analysis, Microsoft Azure, Big Data, Data Integration, Distributed Computing Environment, Python (Programming Language), Machine Learning, Azure Machine Learning, SQL Databases, Google Cloud, Apache Spark, Information Technology
- **Published:** October 2, 2026
- **Apply:** https://dejobs.org/x/x/00D1AE759FD145EC9E691545E447369F/job/

## About the Role

Bachelor's degree in Data Science, Statistics, Mathematics, Engineering, Computer Science, or a related quantitative field (Master's degree preferred). 6+ years of experience in Data Science, Machine Learning, Advanced Analytics, or a related field. Strong understanding of statistical modeling, forecasting, regression, classification, clustering, and experimental design. Experience developing, deploying, and improving predictive analytics and machine learning models. Proficiency in Python and/or SQL for data analysis and model development. Experience working with large-scale, complex datasets in business-driven environments. Excellent communication skills with the ability to explain technical concepts to non-technical audiences. Experience with Azure cloud services and machine learning tools. Exposure to AWS, GCP, Spark, or distributed data processing platforms. Experience building forecasting, optimization, recommendation, market intelligence, or analytics products. Knowledge of data
integration and validation across multiple enterprise systems. Experience within aviation, supply chain, logistics, or related industries is a plus. Experience supporting government-regulated environments is a plus.

## Description

We are seeking a Machine Learning Data Scientist to design, develop, and scale advanced analytics and machine learning solutions that support strategic business decisions. This role will work with complex datasets across multiple ERP systems and distribution channels, applying statistical modeling, predictive analytics, and AI/ML techniques to uncover insights, improve forecasting, and drive operational efficiency. The ideal candidate combines strong technical expertise with the ability to communicate complex analytical findings to non-technical stakeholders.