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Data Science Co Op Jobs in Rochester, NY (NOW HIRING)

... data, and writing reports. We Are Looking For: * Mechanical Engineering student enrolled in an ... We support discovery science experiments in Illinois and locations around the world, including deep ...

A Co-op Student takes on projects in support of the Mechanical and Target Systems at Fermilab under ... We support discovery science experiments in Illinois and locations around the world, including deep ...

Manufacturing Engineer Co-Op

Rochester, NY · On-site

$72K - $92K/yr

Work alongside engineering staff to capture production data, first pass yield, timing and safety results, to implement tools of continuous improvement. RESPONSIBILITIES: * Analyze and plan work force ...

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Data Science Co Op information

See Rochester, NY salary details

$37K

$121.1K

$193.9K

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

As of Jun 17, 2026, the average yearly pay for data science co op in Rochester, NY is $121,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,200.00 and $134,200.00 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.

What are the most commonly searched types of Data Science jobs in Rochester, NY? The most popular types of Data Science jobs in Rochester, NY are:
What job categories do people searching Data Science Co Op jobs in Rochester, NY look for? The top searched job categories for Data Science Co Op jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Data Science Co Op jobs? Cities near Rochester, NY with the most Data Science Co Op job openings:
Infographic showing various Data Science Co Op job openings in Rochester, NY as of June 2026, with employment types broken down into 14% Internship, 72% Full Time, and 14% Part Time. Highlights an 100% In-person job distribution, with an average salary of $121,102 per year, or $58.2 per hour.
Cryogenic Engineering Co-op

Cryogenic Engineering Co-op

Fermilab

Batavia, NY

$21.26 - $25.93/hr

Full-time

Posted 27 days ago


Job description

The expected hiring range for this position is:

$21.26-$25.93.

Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such the scope and responsibilities of the position, qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs.

The future is frozen: Cryogenics is revolutionizing particle accelerators and detectors, quantum computers, fusion reactors, self-landing rockets, hydrogen, liquified natural gas and more!

The Applied Physics & Technology Directorate (APS-TD) conducts highly innovative research and development programs in superconducting magnets and superconducting radio frequency cavities for next generation accelerators and detectors to advance Fermilab's scientific mission. We also educate and train the next generation of physicists and engineers.

We are seeking a Cryogenic Engineering Cooperative Education Student to support cryogenic projects and test areas within the APS-TD Cryogenics Division. Under the direction of an expert mechanical engineer, project tasks may include cryogenic component design, in-house or vendor oversight of fabrication, component installation, system commissioning, and operations. Mechanical engineering tasks may include mechanical stress analysis, heat transfer calculations, fluid flow calculations, 3-D modeling and drawing layouts, checking calculations, manipulating and analyzing data, and writing reports.

We Are Looking For:

  • Mechanical Engineering student enrolled in an accredited mechanical engineering Bachelor's program at a U.S. University

  • Minimum GPA of 3.0 on a 4.0 scale.

  • Preferably the student will have completed their sophomore year of study in Mechanical Engineering. Consideration will be given to students who have completed their first year and have demonstrated strong skill in mathematics and basic engineering sciences.

  • Successful completion of cryogenics and/or thermal-fluids courses is preferred.

  • Familiarity with reading mechanical drawings and process flow schematics.

  • Experience with computer usage for performing engineering analysis, writing reports and crafting presentations.

  • Abide by all environment, safety, and health regulations.

Required and Preferred Number of Rotations:

  • Students on a semester-based academic calendar are required to work a minimum of 2, preferably 3, alternating semesters;

  • Students on a quarter-based academic calendar are required to work a minimum of 3, preferably 4, alternating quarters

Application Requirements:

Interested candidates should submit:

  • Current Resume

  • Official or unofficial transcript(upload under the resume section)

  • Recommended: Cover Letter

  • Proposed Cooperative Education schedule (required at time of application submission; available below)

  • Quarterly: Fermilab-Cooperative-Education-Program-Worksheet-Quarter.pdf (fnal.gov) (upload under the resume section)

  • Semester: Fermilab-Cooperative-Education-Program-Worksheet-Semester.pdf (fnal.gov)(upload under the resume section)

Co-Op Details:

  • Application Dates: May 20, 2026 - July 31, 2026

  • Co-Op Program Period: Fall 2026

  • Offer Date: August 21, 2026

For more information, please see the Undergraduate Co-Op Program webpage: https://internships.fnal.gov/undergraduate-cooperative-education-program/

If you have any questions, please email internships@fnal.gov.

Why Fermilab:
Fermilab is America's premier laboratory for particle physics and accelerator research, funded by the U.S. Department of Energy. We support discovery science experiments in Illinois and locations around the world, including deep underground mines in South Dakota and Canada, mountaintops in Arizona and Chile, CERN in Europe and the South Pole.

Pre-Employment Screening:


Drug-Free Workplace & Pre-Employment Screening

Fermilab is dedicated to fostering a safe, productive and drug-free environment. An offer of employment is contingent upon the successful completion of a background check and drug screening.

HSPD-12

In accordance with Homeland Security Presidential Directive 12 (HSPD-12) new employees are required to obtain and maintain a HSPD-12 Personal Identity Verification (PIV) Credential. To obtain this credential, new employees must successfully complete and pass a federal background check investigation. This investigation includes a declaration of illegal drug activities, including use, supply, possession, or manufacture. This includes marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.

Foreign Government Sponsored Activities

Fermilab employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. Such individuals will be asked to disclose any participation for review by Fermilab's Office of General Counsel.

REAL-ID Requirement for access to Fermilab Campus
Fermilab requires all members of the public to produce a REAL-ID, or equivalent, to access the Fermilab Campus for interviews or career events. A list of acceptable forms of ID can be found here: https://get-connected.fnal.gov/wp-content/uploads/2021/09/REALID-Documents.pdf. If a candidate is selected for an interview but does not possess any of the equivalent documents, we may schedule a virtual interview.

Equal Opportunity Statement

Fermilab is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information, and other legally protected categories.