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Data Science Co Op Jobs in Missouri (NOW HIRING)

Ameren Services

Data Analytics Coop

Saint Louis, MO

$21 - $30/hr

January-August 2027 Spring Co-Op Co-Ops will participate in meaningful work activities related to ... Data science methodologies and processes (preferred) All qualified applicants will receive ...

New

Ameren Services

GIS Co-op (Real Estate)

Saint Louis, MO

$21 - $30/hr

The co-op will be responsible for mapping Ameren's property rights ("interests") in ArcGIS Pro and ... data Qualifications Current student status pursuing a degree in GIS, Engineering, Computer Science ...

New

Luzco Technologies LLC

AI Solutions Co-Op

Saint Louis, MO · On-site

$131K/yr

As an AI Co-Op you'll help design, build, and improve AI-powered tools using Microsoft Copilot and ... Data Science, Engineering, or a related field. * Junior standing or higher preferred.

Menlo Ventures

Principal Data Scientist

California, MO · On-site

$200 - $260/hr

Set standards, coach teams, and co-author executive-facing deliverables to improve overall data science storytelling across the organization. * Strategic insights. Produce deep analyses on revenue ...

Nidec Corporation

Engineering Co-op-2

Saint Louis, MO · On-site

The Application Engineering Co-Op is a technically inclined individual to aid in creating custom ... Collect data and summarize in a report using graphical analysis of the test data. * Assist ...

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Data Science Co Op information

See Missouri salary details

$35.2K

$115.1K

$184.3K

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

As of Aug 8, 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 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 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 are the most commonly searched types of Data Science jobs in Missouri? The most popular types of Data Science jobs in Missouri are:
What are popular job titles related to Data Science Co Op jobs in Missouri? For Data Science Co Op jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Data Science Co Op jobs in Missouri look for? The top searched job categories for Data Science Co Op jobs in Missouri are:
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, 82% Full Time, 12% Part Time, and 5% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $115,129 per year, or $55.4 per hour.

2027 Co-Op Engineers

Rawlings Sporting Goods Company Inc

O Fallon, MO • On-site

Full-time

Posted 2 days ago

New

Job description

2027 Engineering Co-Op - January 2027- August 2027
Job Description

Job Title: 2026 Engineering Co-Op
Department: Engineering
Reports to: Director of Research and Engineering
Location: O'Fallon, MO
Timeframes: January 2027-August 2027
FSLA Status: Hourly, Temporary, Seasonal
*Rawlings does not provide housing for Internships and Co-Op Programs.

General Overview: This is an Engineering Co-op position that will split time between Quality Assurance and Product Development, located at our O’Fallon, MO Tech Center, reporting to the Director of Research and Engineering and Sr. Manager, Product Development for Rawlings Sporting Goods.

Duties & Responsibilities:

  • Performs quality audits and new product development testing of sporting goods items, including detailed testing and measuring requirements.
  • Reviews and tests returned goods, including feedback to the Product Manager and Product Engineer.
  • Learns and understands test equipment such as height gage, micrometers, calipers, weighing scales, ultrasonic thickness gage, helmet drop testing, durability test machines, NOCSAE test equipment, compression/tensile testers, spectrophotometers, etc.
  • Organizes and maintains testing log sheets and QA documents.
  • Maintains maintenance of the testing equipment.
  • Assists Engineering team at Asian Technical Center (ATC) in development of new testing methods and assists with any other new projects or additional tasks.
  • Assists Product Engineers on new product development for bats, helmets, protective equipment, bags, gloves and/or balls.
  • Creates and maintains specification documents for new products.

Knowledge, Skills and Abilities

  • Mechanical Engineering, Engineering Management, or Materials Science (must be currently enrolled in school, Junior standing or higher preferred).
  • Knowledge of hands-on product and process testing is an advantage.
  • Ability to complete and handle detailed measuring; ability to maintain the quality of work under stressful situation.
  • Knowledge of common manufacturing techniques.
  • Knowledge of statistical analysis and process control analysis.
  • Requires excellent communication skills, both written and verbal.
  • Computer skills – Microsoft Excel, Word, Access, SQC Pack, Minitab, CHARTrunner, LABVIEW, or any other data acquisition and analysis software.
  • Requires strong organizational skills.
  • Good verbal and written communications skills.
  • Ability to work in a demanding, dynamic environment where precision, quality and confidentiality is top priority.

Working Conditions: Manufacturing and warehouse working environment, lab environment, and/or office environment. Potential work hazards exist due to work environment.


This job description does not list all the duties of the job. Employee may be asked to perform other instructions and/or duties as necessary. Employee will be evaluated in part based upon performance of the tasks listed in this job description.

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