Data Science Co-Op: ML Research & Real-World Impact

Hunter Engineering Company; Bridgeton (MO); On-site; USD 21,000 - 34,000; Part time

Job summary

Hunter Engineering Company is seeking a Data Science Co‑Op in Bridgeton, MO, for Jan–May 2027. You will contribute to the research and development of ML-based features, primarily on Windows with Python, and training occurs on Linux.

This role offers hands-on experience with model development and data processing in a real-world automotive service equipment environment. The internship emphasizes collaboration, documentation, and the use of tools like TensorFlow/PyTorch, Label Studio, and GIT.

Qualifications

• Minimum GPA 3.0 on resume
• Major studies in Computer Science or Computer Engineering
• Programming experience
• Excellent communication skills

Responsibilities

• Train, test and evaluate deep learning models
• Data annotation and manipulation using tools like Label Studio
• Create and use PowerShell and Python scripts to acquire and organize data
• Create and use VBA scripts in Excel for data evaluation
• Create and use Python programs to clean and evaluate data
• Work with Git for version control
• Configure Linux PC to shorten ML model training times
• Experiment with ML models and data to improve results
• Software design and testing

Skills

Python programming

Machine learning

Data analysis

Communication skills

Git version control

Education

Major studies in Computer Science or Computer Engineering

GPA 3.0 on resume

Tools

Label Studio

PowerShell

Excel VBA

TensorFlow

PyTorch

Git

Job description

Hunter Engineering Company is seeking a Data Science Co‑Op in Bridgeton, MO, for Jan–May 2027. You will contribute to the research and development of ML-based features, primarily on Windows with Python, and training occurs on Linux.

This role offers hands-on experience with model development and data processing in a real-world automotive service equipment environment. The internship emphasizes collaboration, documentation, and the use of tools like TensorFlow/PyTorch, Label Studio, and GIT.