Data Science Engineering Co-Op — Aguadilla, PR (Hybrid)

Collins Aerospace; Aguadilla (PR); Hybrid; USD 17,000 - 25,000; Full time

Job summary

RTX in Aguadilla, PR is offering a co-op/internship position focused on data analytics. You will learn end-to-end data processes, develop data pipelines, and support data quality checks while collaborating with cross-functional teams.

The role requires pursuing a BS in Data Science or Computer Science, U.S. citizenship, and strong English communication. This hybrid position, based in Puerto Rico, runs January to June and provides mentorship and exposure to real-world analytics projects.

Qualifications

• Pursuing a bachelor’s degree in Data Science or CS Engineering.
• U.S. citizenship is required to access information under this program/contract.

Responsibilities

• Learn end-to-end data processes including collection, curation, analysis, and visualization.
• Develop and optimize data pipelines to transform raw data into actionable insights.
• Support data quality checks to ensure accuracy and reliability of the data.
• Write and maintain scripts/macros in Python to support data analytics processes.
• Collaborate with cross-functional teams to gather insights and align product goals.
• Participate in Agile sprints.
• Prepare technical documentation, presentations, and reports.
• English (read, write, speak) is required when communicating with customers, co-workers, or supervisors who only speak English.

Skills

Data analysis

Python scripting

Agile methods

Data visualization

Education

High School Diploma

Pursuing BS in Data Science

Job description

RTX in Aguadilla, PR is offering a co-op/internship position focused on data analytics. You will learn end-to-end data processes, develop data pipelines, and support data quality checks while collaborating with cross-functional teams.

The role requires pursuing a BS in Data Science or Computer Science, U.S. citizenship, and strong English communication. This hybrid position, based in Puerto Rico, runs January to June and provides mentorship and exposure to real-world analytics projects.