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# Data Scientist

- **Company:** Insight Global
- **Location:** Andover, MA, United States
- **Experience:** Experienced
- **Salary:** $176,800.0 - $218,400.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Big Data, Data Integration, Python (Programming Language), Machine Learning, Software Engineering, SQL Databases, Cloud Platform System, Large Language Models, Snowflake, Generative AI, Databricks
- **Published:** August 9, 2026
- **Apply:** https://www.juju.com/job/00000000gm94zz

## About the Role

* 4+ years of experience in Data Science or Advanced Analytics

 * Strong Python and SQL experience

 * Experience developing machine learning and predictive analytics models

 * Experience performing statistical analysis and data modeling

 * Experience working with cloud-based data platforms

 * Ability to communicate analytical findings to technical and business stakeholders

 * Experience with Snowflake and Databricks

 * Experience building AI/ML solutions in production environments

 * Experience supporting operational, logistics, sustainment, or readiness analytics

 * Experience leveraging LLMs, Generative AI, or AI-driven analytics capabilities

 * Experience supporting DoD, aerospace, or sustainment environments

## Description

Our client is investing in a next-generation digital platform designed to unify data, analytics, and operational insights across a globally deployed mission-critical environment. Team members will play a key role in a high-visibility modernization initiative focused on data integration, advanced analytics, AI enablement, application development, and operational readiness. This is an opportunity to build impactful solutions from the ground up, work alongside senior technical leaders, and help shape the future of a platform that supports complex operations on a global scale. If you would like to join the team as a Data Scientist, you will be responsible for:

 * Developing predictive analytics and machine learning capabilities that directly support system readiness and sustainment operations.

 * Mining large data sets from enterprise systems and deployed platforms to uncover insights and operational trends.

 * Building models that help anticipate maintenance needs, improve supportability, and enhance decision-making.

 * Collaborating with Data Engineers and Product teams to transform raw data into meaningful business outcomes.


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