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Data Science Co Op Jobs (NOW HIRING)

Nokia

Data Science Co-op

Murray Hill, NJ · Hybrid

Data science training or experience with big data analysis and visualization. * Interest and experience with Machine Learning and AI. * Experience with data ingestion into a tool such as Splunk or ...

The Campbell?s Company

Data Science Co-Op

Camden, NJ

Since 1869 we've connected people through food they love. We?re proud to be stewards of amazing brands that people trust. Our portfolio includes the iconic Campbell?s brand, as well as Michael Angelo ...

The Campbell?s Company

Data Science Co-Op

Camden, NJ

Since 1869 we've connected people through food they love. We?re proud to be stewards of amazing brands that people trust. Our portfolio includes the iconic Campbell?s brand, as well as Michael Angelo ...

LiveRamp

Co-Op, Data Science

San Francisco, CA · On-site

$31 - $49/hr

We are seeking Co-Op candidates interested in applying data science to the ad-tech space. Join our Insights Engineering Team! You will: * Use statistical and ML based techniques to reduce selection ...

LiveRamp

Co-Op, Data Science

San Francisco, CA

$31 - $49/hr

We are seeking Co-Op candidates interested in applying data science to the ad-tech space. Join our Insights Engineering team! You will: * Use statistical and ML based techniques to reduce selection ...

Auto-Owners Insurance Group

Kettering Co-op

Lansing, MI · On-site

$19.50 - $25.50/hr

An understanding of statistical modeling or data science concepts, especially clustering ... to co-op or only intern for a summer. * (Preferred) Professional experience building models with ...

Auto-Owners Insurance Group

Kettering Co-op

Lansing, MI

$19.50 - $25.50/hr

An understanding of statistical modeling or data science concepts, especially clustering ... to co-op or only intern for a summer. * (Preferred) Professional experience building models with ...

Lila Sciences

Co-Op, Data Extraction

Cambridge, MA · On-site

Within Physical Sciences AI, our team works on turning unstructured scientific knowledge (e.g ... As a Data Extraction Co-Op, you will work alongside research scientists and engineers on a focused ...

The Great Lakes Construction Co

Co-Op

Hinckley, OH · On-site

$14.75 - $19.25/hr

The co-op position entails the use of general mathematics and science courses in addition to courses specific to the student's discipline. The individual is placed on an active construction project ...

Campbell's

Data Engineer, DA&AI Co-Op

Camden, NJ

$115K - $138K/yr

Data Engineer / AI Engineer (Co-op) We are seeking a motivated and curious Data Engineer / AI ... Mentorship from senior AI Engineers and Data Scientists working on enterprise-scale deployments.

Campbell's

Data Engineer, DA&AI Co-Op

Camden, NJ

$115K - $138K/yr

Data Engineer / AI Engineer (Co-op) We are seeking a motivated and curious Data Engineer / AI ... Mentorship from senior AI Engineers and Data Scientists working on enterprise-scale deployments.

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Data Science Co Op information

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$122.7K

$196.5K

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

As of Jun 29, 2026, the average yearly pay for data science co op in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is the 80 20 rule in data science?

The 80/20 rule in data science suggests that roughly 80% of the results come from 20% of the efforts or data. Data scientists often use this principle to focus on the most impactful features, data subsets, or models to improve efficiency and outcomes in their analyses.

Is 40 too late for data science?

Data science co-ops and entry-level roles often value skills and relevant experience over age, so starting a career at 40 is not too late. Many professionals successfully transition into data science later in life by learning programming languages like Python or R, gaining certifications, and building portfolios. Age should not be a barrier if you develop the necessary technical skills and stay current with industry tools and trends.

Which is better, DS or CS?

Data Science Co-ops focus on analyzing data, building models, and applying statistical tools, often requiring skills in programming, statistics, and data visualization. Computer Science roles emphasize software development, algorithms, and system design, typically involving programming languages like Java or C++. Both fields offer valuable career paths, but the choice depends on your interests in data analysis versus software engineering.

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.

Is 30 too late for data science?

Data science Co Op roles often target students or early-career individuals, but age is not a strict barrier. Many professionals transition into data science later in their careers by acquiring relevant skills such as programming, statistics, and tools like Python or R, and completing certifications or projects to demonstrate expertise.

What is a Data Science Co Op job?

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.

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Data Science Co Op jobs near you
Data Science Co-op

Data Science Co-op

Nokia

Murray Hill, NJ • Hybrid

Full-time

Posted 24 days ago

Nokia rating

8.6

Company rating: 8.6 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

4th of 79 rated telecommunications companies

Job description

Number of Position(s): 2
Duration: 4 Months 
Date: September 8 to December 18, 2026
Location: Hybrid in Murry Hill

Working within a multi-site Agile Test Automation team, this candidate will design and develop automation infrastructure and tool enhancements to maximize the effectiveness and productivity of the feature teams and test teams in their automated test development, execution, and analysis activities.

Educational Recommendations: 

Currently a candidate for a bachelor's degree or diploma in Computer Science, Electrical Engineering, or a related field with an accredited school in the United States. 

Advancing connectivity to secure a brighter world.

Nokia is a global leader in connectivity for the AI era. With expertise across fixed, mobile and transport networks, powered by the innovation of Nokia Bell Labs, we're advancing connectivity to secure a brighter world. 

Learn more about life at Nokia.


Our recruitment process

We act inclusively and respect the uniqueness of people. Our employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law. We are committed to a culture of inclusion built upon our core value of respect.

If you're interested in this role but don't meet every listed requirement, we still encourage you to apply. Unique backgrounds, perspectives, and experiences enrich our teams, and you may be just the right candidate for this or another opportunity.

The length of the recruitment process may vary depending on the specific role's requirements. We strive to ensure a smooth and inclusive experience for all candidates. Discover more about the recruitment process at Nokia. 

Some of our benefits for students in the US:
  • Flexible and hybrid working schemes to balance study, work, and life
  • Professional development events and networking opportunities
  • Well-being programs, including Personal Support Service 24/7 - a confidential support channel open to all Nokia employees and their families in challenging situations
  • Opportunities to join Nokia Employee Resource Groups (NERGs) and build connections across the organization
  • Employee Growth Solutions, mentorship programs, and coaching support for your career development
  • A learning environment that fosters both personal growth and professional development - for your role and beyond

Disclaimer for US/Canada

Nokia maintains broad annual base salary ranges for its roles in order to account for variations in knowledge, skills, experience and market conditions, and with consideration to internal peer equity. Check the salary ranges in the job info section for this role.

All North America job posts will post for a minimum of 3 calendar days and up to 180 days or until candidate/s identified.
  • Interest in software development, ideally having worked with one or more: PHP, Javascript, Python, MySQL, VueJS, ElectronJS, Selenium, VMware, AWS.
  • Creative and motivated self-learner ready for a challenge to advance your career to the next level.


It would be nice if you also had:

  • Data science training or experience with big data analysis and visualization.
  • Interest and experience with Machine Learning and AI.
  • Experience with data ingestion into a tool such as Splunk or Elastic.
  • Experience with Git and/or Mercurial.
  • Proficient with Visual Studio and/or Eclipse.
  • Work on the development of big data analysis and visualization use cases within Splunk, which may include the application of AI/ML.
  • Develop web-based database applications using technologies such as PhP, Javascript, VueJS, Python & MySQL.
  • Develop Linux and Windows Applications using Python, VueJS, and ElectronJS.
  • Develop Object Oriented library using Python and Selenium to interface with the Optical equipment under test.

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