Data Science Engineer

Job 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.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to View email address on click.appcast.io learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:

Skills and Requirements

-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. -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.