Spring 2027 Data Science Co-Op: ML, Python & Linux

Hunter-Engineering-Company-; Bridgeton (MO); On-site; USD 25,000 - 34,000; Full time

Benefits offered by this job

Real-world experience

Off-campus team bonding/appreciation

Free Onsite Fitness & RecreationCenter

Job summary

Hunter Engineering Company is seeking a Data Science Co-Op for Spring 2027 in Bridgeton, MO. You will contribute to ML model development, data annotation, and data preparation tasks on both Windows and Linux environments.

The role emphasizes hands-on experience with Python, deep learning frameworks, and collaborative research to advance automotive service technology. Start date January 2027 and end date May 2027, with real-world exposure and professional growth opportunities.

Qualifications

• Minimum 3.0 GPA (must be on resume)
• Major studies in Computer Science or Computer Engineering
• Programming experience

Responsibilities

• Train, test, and evaluate deep learning models.
• Data annotation and manipulation (e.g., using 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 to save and control data.
• Document frequently used processes for replication.
• Update training, test, and validation data for ML models.
• Work with TensorFlow or PyTorch.
• Configure and use a Linux PC to shorten ML model training times.
• Experiment with ML models and data to improve results.
• Software design and testing.
• Additional duties as assigned.

Skills

Python

Machine Learning

Deep Learning

TensorFlow

PyTorch

Linux

GIT

PowerShell

VBA

Excel

Data Analysis

Education

Bachelor's degree in Computer Science or Computer Engineering (pursuing or completed)

Tools

Label Studio

Job description

Hunter Engineering Company is seeking a Data Science Co-Op for Spring 2027 in Bridgeton, MO. You will contribute to ML model development, data annotation, and data preparation tasks on both Windows and Linux environments.

The role emphasizes hands-on experience with Python, deep learning frameworks, and collaborative research to advance automotive service technology. Start date January 2027 and end date May 2027, with real-world exposure and professional growth opportunities.