Data Science Engineering Co-Op (January 2027) (Hybrid)

RTX • Aguadilla, PR

5d • Hybrid

About The Position

RTX is hiring a Data Science Engineering Co-Op for a Monday–Friday session running from January through June 2027. Students are expected to take this time off from coursework to participate fully in the working mentorship opportunity. The position is based in Aguadilla, Puerto Rico, and requires the employee to reside in Puerto Rico when employment starts. Relocation is not offered.

The co-op will learn about end-to-end data processes, including collection, curation, analysis, and visualization. The role supports data pipeline development and optimization, data quality checks, and analytics scripts and macros in Python. The co-op will collaborate with cross-functional teams, participate in Agile sprints and continuous improvement efforts, and communicate insights through technical documentation, presentations, and reports.

The position is hybrid, with regular onsite work in Aguadilla three days per week and remote work two days per week according to the manager’s assigned schedule. U.S. citizenship is required to access information under the program or contract. English reading, writing, and speaking skills are required when communicating with customers, coworkers, or supervisors who speak only English.

Requirements

• High school diploma or equivalent.
• Be pursuing a bachelor’s or advanced degree in Data Science or Computer Science Engineering.
• U.S. citizenship is required.
• English reading, writing, and speaking skills are required for communication with customers, coworkers, or supervisors who speak only English.
• Must reside in Puerto Rico when starting employment; relocation is not offered.

Nice To Haves

• Pursuing a bachelor’s degree in computer science or a related field.
• Demonstrated strong communication, teaming, and results-oriented skills.
• Prior experience communicating across teams and platforms to collaborate successfully on projects or goals.
• Excellent written and verbal communication skills for delivering successful programs.

Responsibilities

• Learn about end-to-end data processes, including data collection, curation, analysis, and visualization.
• Participate in developing and optimizing data pipelines that transform raw data into actionable insights.
• Support data quality checks to ensure data accuracy and reliability.
• Write and maintain Python scripts and macros to support data analytics processes.
• Collaborate with cross-functional teams to gather insights, refine requirements, and align product goals with team efforts.
• Participate in Agile sprints.
• Support investigations and continuous improvement initiatives.
• Prepare technical documentation, presentations, and reports to communicate insights and recommendations to technical and non-technical audiences.

What This Job Offers

• Career Level: Intern
• Education Level: High school or GED