Intern, Additive Manufacturing Data Science
About The Position
We are looking for a Junior or Senior undergraduate student to help bridge the gap between mechanical engineering and data science. Our Additive Manufacturing (AM) programs generates and receive valuable data in "messy" formats (PDFs, Excel logs, images). Your role will be to build the digital tools that turn this unstructured information into a clean, usable datasets for our engineering team. Learning Objectives: • Hands-on experience solving real-world "messy data" problems in an engineering environment. • Gain exposure to additive manufacturing technologies and their applications. • Develop proficiency in the management and critical analysis of manufacturing data. • Enhance skills in data visualization and communication. • Learn about the standardization processes and how data science can contribute to setting industry standards.
Requirements
- Currently enrolled in Computer Science, Data Science, Mechanical Engineering, or a related field.
- Comfortable writing Python scripts to manipulate data (coursework or project experience with Pandas is highly desirable).
- Basic knowledge of Machine Learning / Data Mining.
- Self-starter with ability to work remotely and engage in a virtual working environment.
- Excellent communication skills (English).
- Ability to document work and convey information in a simple and effective manner.
- Enjoys analytical thinking and problem solving.
- Detail oriented with exceptional organizational skills.
- Excited to learn at the intersection of AI and Additive Manufacturing.
Nice To Haves
- Exposure to Database Management (SQL) and Natural Language Processing (NLP) is a plus.
Responsibilities
- Build Data Pipelines: Write Python scripts (using Pandas/NumPy) to automatically scrape and consolidate and standardize data from disparate sources (Excel, CSV, txt).
- Unlock "Trapped" Data: Explore and test open-source libraries (like PyPDF2 or Tesseract OCR) and LLM’s to extract text and tables from PDF reports and images.
- Data Organization: Collaborate with our engineers to define a standard data structure (schema) for how our 3D printing data should be stored.
- Exploratory Analysis: Once the data is clean, perform initial statistical analysis, and possibly explore AI/ML methods, to help us identify and visualize trends, patterns, and anomalies in various datasets within Advanced Manufacturing projects.
- Visualization: Prepare detailed reports and visualizations to communicate findings to stakeholders.
- Collaboration: Collaborate with cross-functional teams to integrate data-driven insights into ongoing projects.
- Communication: Participate in regular meetings and present progress updates.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Career Level
Intern
Number of Employees
251-500 employees
