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Data Science Co Op Jobs in Roxbury Crossing, MA (NOW HIRING)

Ahold Delhaize USA

AI/ML Engineer Co-op

Quincy, MA · Hybrid

$22.80 - $37.30/hr

This paid Co-op experience is an opportunity to help drive business results in an environment ... Currently enrolled in a Master's program in Data Science, AI, Computer Science, Statistics, or a ...

Audax Group

AI Engineer Co-Op

Boston, MA · On-site

$30 - $34/hr

CO-OP/Intern Cycle: January - June 2027 Anticipated Start & End Date: January 4 - June 25, 2027 ... Currently pursuing a Bachelor's or Master's degree in Data Science, Data Engineering, Data ...

Ahold Delhaize USA

Spring AI/ML Engineer Co-op

Quincy, MA · Hybrid

$22.80 - $37.30/hr

This paid Co-op experience is an opportunity to help drive business results in an environment ... Currently enrolled in a master's program in Data Science, AI, Computer Science, Statistics, or a ...

IBM

Product Manager Spring Co-op 2027

Lowell, MA · On-site

As an intern, you will work closely with engineering, design, and data science partners to support ... Co-op requires a full-time commitment; students should not be enrolled in concurrent coursework ...

IBM

Product Manager Spring Co-op 2027

Lowell, MA

As an intern, you will work closely with engineering, design, and data science partners to support ... Co-op requires a full-time commitment; students should not be enrolled in concurrent coursework ...

Lila Sciences

Co-Op, Autonomous SEM

Cambridge, MA · On-site

This co-op will contribute to autonomous SEM workflows that make characterization more consistent ... Experience with data analysis for scientific images, spectra, or microscopy datasets. * Experience ...

Skyworks

RF Design Automation Co-Op

Andover, MA · On-site

$22.50 - $42/hr

Create automated data analysis, visualization tools, and reporting solutions to improve engineering ... Science. * Experience with scripting and programming languages such as Python, Cadence SKILL, ADS ...

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All JobsData Science Co Op JobsData Science Co Op Jobs in Roxbury Crossing, MA

Data Science Co Op information

See Roxbury Crossing, MA salary details

$40.7K

$133.3K

$213.3K

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

As of Sep 6, 2026, the average yearly pay for data science co op in Roxbury Crossing, MA is $133,250.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,900.00 and $147,600.00 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 Roxbury Crossing, MA?

The most popular types of Data Science jobs in Roxbury Crossing, MA are:

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Data Science Co Op jobs near you
Infographic showing various Data Science Co Op job openings in Roxbury Crossing, MA as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $133,250 per year, or $64.1 per hour.

Co-Op, Software Product Management

Lila Sciences

Cambridge, MA • On-site

Full-time

Re-posted 21 days ago

Job description

Your Impact at LILA
Lila is looking for a Fall Co-Op (Intern), Software Product Management to support software and workflow improvements across our scientific software platform.
This role sits at the intersection of scientists, software engineering, and product. The co-op will shadow users, help translate recurring workflow needs into clear product requirements, and support the team's work to connect designs, data, results, and learnings across scientific workflows.
The role is well suited for someone interested in product management, scientific operations, lab software, or data systems. The co-op will gain hands-on exposure to how scientific workflows become software requirements, while owning a small scoped feature or workflow improvement from discovery through delivery.
What You'll Be Building
  • Shadow scientists and other users to understand their software and workflow needs.
  • Help groom product backlogs with product, science, and engineering partners.
  • Write clear user stories and acceptance criteria from ambiguous requirements.
  • Support connecting designs, data, and results across scientific workflows.
  • Triage recurring user asks and convert them into actionable tickets.
  • Own a small scoped feature or workflow improvement from discovery through delivery.
  • Partner with engineers and scientists to clarify requirements, acceptance criteria, and workflow impact.

What You'll Need to Succeed
  • Interest in product management, scientific workflows, lab operations, or software systems.
  • Strong written communication skills and ability to turn ambiguity into clear requirements.
  • Comfort working with cross-functional partners across science, product, and engineering.
  • Ability to observe workflows, ask thoughtful questions, and synthesize user needs.
  • Organized approach to tracking tasks, decisions, and follow-ups.
  • Curiosity about how software can improve experimental throughput, traceability, and data quality.

Bonus Points For
  • Experience with product backlogs, user stories, or acceptance criteria.
  • Exposure to scientific data systems, lab software, or workflow tools.
  • Prior internship, coursework, or project work involving product, operations, or software delivery.

About LILA
Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.
LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.
Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply.
We're All In
Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.
A Note to Agencies
Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.

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