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# Data Science Engineer

- **Company:** Insight Global
- **Location:** Middletown Township, NJ, United States
- **Salary:** $112,320.0 - $139,360.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Big Data, C++ (Programming Language), Computer Programming, Customer Data Management, Linux, Python (Programming Language), Software Engineering, SQL Databases, Computer Network Operations, Feature Engineering, Information Technology, Databricks
- **Published:** August 7, 2026
- **Apply:** https://jobs.insightglobal.com/jobs/find_a_job/new-jersey/middletown/data-science-engineer/job-561439/

## About the Role

Strong hands-on programming skills in Python & SQL with the ability to develop, query, manipulate & analyze large datasets in complex enterprise environments.
-Experience with large-scale data processing and Databricks for engineering, analytics, and model development.
-Strong data modeling experience with the ability to perform data exploration, manipulation, feature engineering, and predictive modeling of complex datasets.
-Master's degree in computer science with a strong understanding of software development principles, algorithms, and programming concepts.

Nice to Have Skills & Experience

-Experience with Linux and/or C/C++
-Experience analyzing customer data to support retention, convergence, personalization, or other customer transformation initiatives.
-Experience supporting Network Operations organizations or related data.

## Description

One of our largest Telecom customers is seeking a Data Science consultant with a strong Computer Science background to support strategic consumer transformation initiatives focused on customer convergence, retention, and churn reduction. This individual will leverage Python, SQL, and Databricks to analyze large-scale datasets, develop data models, and generate actionable insights that drive business decisions. The role involves working with data collected from residential gateway (RG) devices and other customer-facing platforms, performing data exploration, feature engineering, and predictive analytics to identify opportunities for personalization and improved customer experiences. The ideal candidate possesses strong programming skills, a solid foundation in data science and software engineering concepts, and experience translating complex data into measurable business outcomes.


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