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Data Science Co Op Jobs in Missouri (NOW HIRING)

Mississippi Lime

Quality Co-Op

MO · On-site

Data collection, analysis, and interpretation * Statistical evaluation and trend identification ... or a related scientific discipline * Minimum 2.75 GPA * Ability to work in an industrial ...

Ameren Services

DERMS Co-Op/Intern

Saint Louis, MO

$21 - $30/hr

Execute solution testing, including test preparation, test data validation, functional checkout ... Currently pursuing a bachelor's ormaster's degree incomputer science, electrical engineering or ...

AB InBev

Research Pilot Brewery Co-Op

Saint Louis, MO · On-site

$26/hr

You will be manually moving beer, grinding in malt, and reporting data to upper management...think ... A background in Engineering, Science, or Environmental/Safety may help but all majors are accepted.

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Data Science Co Op information

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$35.2K

$115.1K

$184.3K

How much do data science co op jobs pay per year?

As of Sep 1, 2026, the average yearly pay for data science co op in Missouri is $115,129.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,400.00 and $127,600.00 per year, depending on experience, location, and employer.

What is a data science co op?

A Data Science Co-Op is a temporary, structured work experience program for students or early-career professionals to apply data science skills in a real-world setting. Co-Ops typically last several months and involve tasks such as data analysis, machine learning model development, and visualization. Participants work closely with data teams, gaining hands-on experience with tools like Python, SQL, and cloud platforms. Unlike internships, Co-Op positions may be full-time for a semester and often offer deeper engagement with projects. This experience helps build technical skills, industry knowledge, and professional connections for future career opportunities.

What kinds of projects or tasks can I expect to work on as a data science co op?

As a Data Science Co Op, you may be involved in a variety of projects such as data cleaning, exploratory data analysis, building predictive models, or generating data visualizations to support business decisions. You’ll often work alongside more experienced data scientists, analysts, and cross-functional teams to collaboratively solve real-world problems using data. This role typically emphasizes hands-on learning and practical application of analytical techniques, offering a great opportunity to develop your technical and communication skills. In addition, you may participate in regular meetings, present findings, and contribute to ongoing research or product development initiatives.

What are the key skills and qualifications needed to thrive in the data science co op position, and why are they important?

To succeed as a Data Science Co Op, you should have a solid understanding of statistics, data analysis, and programming, typically gained through coursework or relevant experience in computer science, mathematics, or related fields. Familiarity with tools such as Python or R, SQL databases, and data visualization libraries is highly valuable, and experience with machine learning platforms or certifications can be advantageous. Effective communication, problem-solving, and a collaborative mindset help you excel in team-oriented, fast-paced environments. These competencies are crucial for analyzing complex datasets, delivering actionable insights, and supporting business decision-making.

What are the most commonly searched types of Data Science jobs in Missouri?

The most popular types of Data Science jobs in Missouri are:

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For Data Science Co Op jobs in Missouri, the most frequently searched job titles are:

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Data Science Co Op jobs near you
Infographic showing various Data Science Co Op job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $115,129 per year, or $55.4 per hour.

Data Science Co-Op

Hunter Engineering Company

Bridgeton, MO

Full-time

Posted 13 days ago

Hunter Engineering Company rating

9.3

Company rating: 9.3 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

12th of 495 rated machine equipment manufacturers

Job description

Looking to build your career with a company that values innovation, stability, and people? Join our dedicated team as a Data Science Co-Op in Bridgeton, MO!

Since 1946, Hunter Engineering has been aligning cutting-edge technology with a strong commitment to quality. As a family-owned, American-made company, Hunter is the global leader in automotive service equipment, with our products used in over 130 countries by top vehicle manufacturers, tire companies, and service centers.

Were proud to be recognized as a Best Places to Work finalist by the St. Louis Business Journal for five consecutive years (2022 2026) a testament to our commitment to our people. Here, employees are supported, challenged, and take pride in their work. We offer exceptional benefits, a healthy work-life balance, and meaningful opportunities for professional growth.

If youre ready to join a team thats shaping the future of automotive service, read on.

As a Data Science Co-Op, you will be responsible for the research and development of various features based on Machine Learning. The co-op will work primarily on a Windows PC with Python while most of the machine learning training is done on a Linux machine. Our goal is to provide an experience that will be an important, effective first step in the career of a future engineer.

This position is for a Spring 2027 Co-Op, with a start date of January 2027 and an end date of May 2027.

What Youll Do:

  • Train, test, and evaluate deep learning models.
  • Data annotation and manipulation. An example annotation program would be the use of Label Studio to identify and tag objects in images.
  • Create and use PowerShell and Python scripts to acquire and organize data.
  • Create and use VBA scripts in Excel as part of data evaluation.
  • Create and use Python programs to clean and evaluate data.
  • Work with source control tools like GIT to save and control data.
  • Document frequently used processes for others to duplicate.
  • Update training, test, and validation data used for a specific ML model.
  • Work with an AI library like 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.

What Youll Bring:

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

What We Offer:

  • Real-world experience
  • Off-campus team bonding/appreciation event
  • Free Onsite Fitness & Recreation Center

Join us in our mission to Align People and Innovation to Drive Excellence!

  • Make Lives Better Together
  • Take Pride in the Extraordinary
  • Define the Standard

Hunter Engineering does not provide immigration-related sponsorship for this role. Please do not apply for this role if you will need immigration sponsorship (e.g., H-1B, TN, STEM OPT) now or in the future.

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