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Co Op Data Science Student Jobs in Minnesota (NOW HIRING)

Overview Resonetics, the world leader in micro manufacturing for the life sciences industry, is ... Compile and analyze data using statistical analysis techniques. * Designs, procures, and fabricates ...

Overview Resonetics, the world leader in micro manufacturing for the life sciences industry, is ... Compile and analyze data using statistical analysis techniques. * Designs, procures, and fabricates ...

Graduate student (MS or PhD, returning to your program after the co-op) About Apollo Apollo leads ... Multi-modal customer representations spanning structured, sequential, and graph data * Memory ...

New

Graduate student (MS or PhD, returning to your program after the co-op) About Apollo Apollo leads ... Multi-modal customer representations spanning structured, sequential, and graph data * Memory ...

New

Graduate student (MS or PhD, returning to your program after the co-op) About Apollo Apollo leads ... Multi-modal customer representations spanning structured, sequential, and graph data * Memory ...

New

Graduate student (MS or PhD, returning to your program after the co-op) About Apollo Apollo leads ... Multi-modal customer representations spanning structured, sequential, and graph data * Memory ...

New

Graduate student (MS or PhD, returning to your program after the co-op) About Apollo Apollo leads ... Multi-modal customer representations spanning structured, sequential, and graph data * Memory ...

New

Showing results 41-60

Co Op Data Science Student information

What is a co op data science student?

Co-Op Data Science Students are university students who participate in cooperative education programs that combine academic coursework with hands-on work experience in the field of data science. These students work for companies or organizations as part of their degree program, applying classroom knowledge to real-world data projects under the supervision of experienced professionals. The co-op experience helps students gain practical skills, build professional networks, and better understand the day-to-day responsibilities of data scientists. Typically, these positions are temporary and align with academic terms, lasting several months at a time.

What types of projects or tasks can a co op data science student expect to work on during their placement?

As a Co Op Data Science Student, you can expect to work on a variety of projects that support the data team, such as cleaning and analyzing datasets, building predictive models, and creating data visualizations to communicate findings. You may also assist in preparing reports or dashboards for business stakeholders and participate in regular team meetings to discuss project progress. Collaboration with data engineers, analysts, and business teams is common, giving you valuable exposure to real-world data workflows and cross-functional teamwork.

What are the key skills and qualifications needed to thrive as a co op data science student, and why are they important?

To thrive as a Co Op Data Science Student, you need foundational knowledge in statistics, programming (especially Python or R), and data analysis, typically supported by coursework in data science or related fields. Familiarity with tools like Jupyter Notebook, SQL, and machine learning libraries such as scikit-learn or TensorFlow is often expected. Strong problem-solving abilities, curiosity, and effective communication skills help you collaborate with teams and translate data insights into actionable recommendations. These competencies are crucial for applying classroom learning to real-world projects and contributing meaningfully to data-driven decision-making.

What is the difference between Co Op Data Science Student vs Data Analyst Intern?

AspectCo Op Data Science StudentData Analyst Intern
Required CredentialsEnrolled in a related degree program, basic programming skillsEnrolled in or recent graduate of a relevant degree, some technical skills
Work EnvironmentAcademic institution or company, project-based learningCorporate or organization setting, supporting data analysis tasks
Employer & Industry UsageUniversities, tech companies, startupsBusiness, finance, healthcare, retail
Common Search & ComparisonOften searched by students exploring internships in data scienceCompared for entry-level data analysis roles

The Co Op Data Science Student typically is a student gaining practical experience during their studies, focusing on learning and supporting data science projects. In contrast, a Data Analyst Intern may have more specific data analysis responsibilities within a company. Both roles serve as entry points into the data industry but differ mainly in their focus and work environment.

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

The most popular types of Data Science Student jobs in Minnesota are:

What are popular job titles related to Co Op Data Science Student jobs in Minnesota?

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

What job categories do people searching Co Op Data Science Student jobs in Minnesota look for?

The top searched job categories for Co Op Data Science Student jobs in Minnesota are:

Quality Engineering Co-op

Resonetics

Hutchinson, MN • On-site

$25 - $28/hr

Full-time

Posted 5 days ago


Resonetics rating

7.1

Company rating: 7.1 out of 10

Based on 28 frontline employees who took The Breakroom Quiz


Job description

Overview
Resonetics, the world leader in micro manufacturing for the life sciences industry, is changing the industry and elevating the customer experience resulting in rapid growth domestically and internationally. This is a phenomenal opportunity to join an innovative, fast-paced organization with an employee focused culture and put their mark on something meaningful.
Resonetics Hutchinson is looking for an Engineering Co-Op to join their team during the Spring of 2027. Our Co-ops perform entry level engineering tasks and complete projects as assigned, working independently and partnering with their mentor as needed.
Join Resonetics and be part of a team that's redefining medical device manufacturing. If you're passionate about innovation and thrive in a fast-paced environment, we'd love to hear from you.
Responsibilities
  • Undertakes and successfully completes simple or basic project/process development tasks.
  • Measure products using standard metrology practices.
  • Compile and analyze data using statistical analysis techniques.
  • Designs, procures, and fabricates simple tooling and fixtures.
  • Generate and modify manufacturing process documentation and assure that manufacturing processes and related documentation follow established policies and procedures per Resonetics established Quality Management System.
  • Support execution of process and equipment validations IQ/OQ/PQ/MVP/TMV.
  • Create process documentation and training where applicable (Manufacturing Process, Manufacturing, Setup, Preventive Maintenance etc.).
  • Identifies areas for improvement, suggests solutions, and submits idea records.
  • Additional duties/projects as assigned.

Required Qualifications
  • Currently enrolled and actively pursuing a (BS or MS) in relevant Engineering discipline.
  • Good communication skills, comfortable with leading and providing project status updates to functional management and process teams.
  • Tireless work ethic and understanding of deadline management.
  • Good writing skills, able to write reports, manufacturing procedures and assist with validation activities.
  • Familiar with formal problem-solving techniques (Cause & effect analysis, 5 Why's, etc.)
  • Effective interpersonal skills and adeptness in working with culturally diverse employee population.
  • Ability to navigate ambiguity and negotiate alignment with stakeholders.

Preferred Qualifications
  • Experience with statistical analysis skills (process capability, equivalence studies, regression, ANOVA, DOE).
  • Familiar with SolidWorks (or equivalent) for tooling/fixture design. Well versed in GD&T and print generation.
  • Experience with industrial lasers, interventional device design and manufacturing, device assembly.
  • Exposure to medical device manufacturing or regulated environment.

Physical Demands
  • Ability to work in manufacturing and office setting.

Compensation
The compensation for this role is competitive and will be based on experience and years of schooling. The anticipated range is $25.00 - $28.00 per hour based on the years of schooling undergone.
For temp, temp-to-hire, and regular full-time positions, our company policy is that we are unable to provide visa sponsorship. Candidates must already be legally authorized to work in the United States without the need for sponsorship now or in the future.

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