Computer Science / Data Science Intern – Manufacturing Systems & Analytics

Job Description

Computer Science / Data Science Intern – Manufacturing Systems & Analytics

Location: Goodyear, AZ (On-Site)

Schedule: Flexible, 20–40 hours per week, allowing for academic commitments.

Employment Type: Paid Internship / Co-Op Opportunity

About GTI Fabrication

GTI Fabrication is a forward-thinking manufacturing company committed to innovation and operational excellence. We are making significant strategic investments in advanced manufacturing systems, enhancing data visibility across our operations, and leveraging sophisticated operational analytics. Our goal is to transform raw production data into strategic insights that drive efficiency, quality, and growth.

This internship plays a crucial role at the dynamic intersection of software development, data science, and real-world manufacturing operations, contributing directly to our digital transformation journey.

Role Overview

As a Computer Science / Data Science Intern at GTI Fabrication, you will be an integral part of our team, supporting critical initiatives across manufacturing analytics, systems integration, and reporting. This hands-on role offers a unique opportunity to apply your technical skills in a vibrant industrial setting. You will collaborate closely with our operations, engineering, and business systems teams to extract, transform, and analyze complex manufacturing data, ultimately turning raw production information into clear, actionable insights that directly impact our business outcomes.

Key Responsibilities

• Develop Data Visualization Tools: Support the design and development of intuitive dashboards and reports, providing critical insights into production performance, quality control, and inventory levels for various stakeholders.
• Data Management and Analysis: Assist with the extraction, rigorous cleaning, transformation, and in-depth analysis of large datasets sourced from our Enterprise Resource Planning (ERP) and Manufacturing Execution Systems (MES).
• Process Automation: Identify opportunities to streamline and automate manual reporting processes, leveraging scripting languages (e.g., Python) and specialized tools to enhance efficiency and accuracy.
• Database Interaction: Support the creation and optimization of basic SQL queries and contribute to data modeling efforts, ensuring data integrity and accessibility for analytical purposes.
• Contribute to System Enhancements: Actively participate in projects focused on improving and optimizing our manufacturing systems, from concept to implementation.
• Documentation and Knowledge Sharing: Create and maintain clear documentation for system workflows, data definitions, and reporting methodologies, fostering a culture of knowledge sharing.
• Cross-Functional Collaboration: Work closely with engineering, operations, and business teams to deeply understand their data requirements and translate them into practical analytical solutions.

Qualifications

• Academic Pursuit: Currently enrolled in an undergraduate or graduate program in Computer Science, Data Science, Information Systems, Industrial Engineering, or a closely related quantitative field.
• Availability: Ability to commit to a flexible schedule of at least 20 hours per week, balancing academic commitments with professional growth.
• Technical Proficiency: Possess a working knowledge of at least one programming language like Python (for scripting and data manipulation), SQL (for database querying), or similar languages.
• Analytical Acumen: Demonstrated strong analytical, critical thinking, and problem-solving skills with an ability to interpret complex data.
• Passion for Industry: A genuine interest in manufacturing systems, operational analytics, industrial technology, or supply chain optimization.
• Preferred Experience (A Plus!): Prior exposure or experience with business intelligence and data visualization tools such as Microsoft Power BI, Tableau, Looker, or similar platforms.

What You’ll Gain

• Practical Skill Application: Acquire invaluable real-world experience by applying your computer science and data science skills directly to tangible challenges within a dynamic manufacturing environment.
• Exposure to Industrial Systems: Gain significant exposure and hands-on experience with critical enterprise systems, including Enterprise Resource Planning (ERP), Manufacturing Execution Systems (MES), and various operational data systems that drive modern production.
• Impactful Project Work: Lead or contribute to hands-on analytics projects directly tied to improving production efficiency, quality, and overall operational outcomes.
• Professional Mentorship: Receive dedicated mentorship and guidance from experienced systems engineers, data analysts, and operations leaders, fostering your professional development and career trajectory.
• Network Building: Opportunity to build a professional network within the manufacturing and tech industries.
• Career Insight: A clearer understanding of potential career paths in industrial data science, manufacturing intelligence, and operations technology.