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Co Op Data Science Student Jobs (NOW HIRING)

Lila Sciences

Co-Op, Data Extraction

Cambridge, MA · On-site

Co-Op, Data Extraction Cambridge, MA USA Your Impact at LILA Lila Sciences builds AI systems that accelerate discovery across the physical and life sciences. Within Physical Sciences AI, our team ...

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 ...

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 ...

Johnson & Johnson

The R&D Co-op program provides each student with a great support system, as well as the opportunity ... Python data science libraries (Pandas, NumPy, SciPy, Scikit-Learn, PySpark, etc.) * ML tools and ...

Jj

Data Science Co-Op, Spring 2027

Cincinnati, OH · On-site

$109K - $131K/yr

The R&D Co-op program provides each student with a great support system, as well as the opportunity ... Python data science libraries (Pandas, NumPy, SciPy, Scikit-Learn, PySpark, etc.) * ML tools and ...

Johnson & Johnson

$109K - $131K/yr

The R&D Co-op program provides each student with a great support system, as well as the opportunity ... Python data science libraries (Pandas, NumPy, SciPy, Scikit-Learn, PySpark, etc.) * ML tools and ...

Doosan Bobcat North America, Inc

Co-op and Intern opportunities span across 18 of Bobcat's different functions. Role ... Mentorship from data scientists, and DevOps specialists. * A portfolio ready project that showcases ...

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Co Op Data Science Student information

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$37.5K

$122.7K

$196.5K

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

As of Sep 8, 2026, the average yearly pay for co op data science student 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 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.

More about Co Op Data Science Student jobs

What cities are hiring for Co Op Data Science Student jobs?

Cities with the most Co Op Data Science Student job openings:

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

The most popular types of Data Science Student jobs are:

What states have the most Co Op Data Science Student jobs?

States with the most job openings for Co Op Data Science Student jobs include:

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

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

Co Op Data Science Student jobs near you
Infographic showing various Co Op Data Science Student job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Co-Op, Data Extraction

Lila Sciences

Cambridge, MA • On-site

Other

Re-posted 28 days ago

Job description

Co-Op, Data Extraction

Cambridge, MA USA

Your Impact at LILA

Lila Sciences builds AI systems that accelerate discovery across the physical and life sciences. Within Physical Sciences AI, our team works on turning unstructured scientific knowledge (e.g., literature, patents, technical reports) into structured signals that power downstream Lila applications. As a Data Extraction Co-Op, you will work alongside research scientists and engineers on a focused sub-problem in this stack. You will get hands-on experience fine-tuning and evaluating extraction models, building pipelines for messy real-world data, and shipping work that flows into production systems.

What You'll Be Building

  • Contribute to AI systems that extract and structure knowledge from scientific literature and patents, focused on a well-defined sub-problem
  • Fine-tune and evaluate language, multimodal, or specialized models for data extraction, with mentor guidance
  • Build and test pipelines that structure unstructured scientific data across text, tables, and visuals
  • Run extraction pipelines, analyze results, and document findings clearly
  • Share your work through a team presentation, write-up, or contribution to a publication or open-source project

What You'll Need to Succeed

  • Pursuing a Bachelor's, Master's, or PhD in Computer Science, Chemistry, Materials Science, or a related field
  • Solid foundation in machine learning fundamentals and Python
  • Familiarity with NLP or computer vision concepts
  • Curiosity about scientific data and willingness to learn quickly in a research setting

Bonus Points For

  • Coursework or projects involving multimodal models or document understanding (OCR, table/figure extraction)
  • Experience working with messy, real-world datasets
  • Interest in scientific document parsing

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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