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Co Op Computer Science Jobs in Portland, ME (NOW HIRING)

Northeastern University

Data Scientist

Portland, ME · On-site

$87K - $123K/yr

D. (optional) in Computer Science, Engineering, Applied Mathematics, Statistics, or a closely ... Experience gained through internships, co-ops, academic research, or applied capstone projects is ...

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Co Op Computer Science information

See Portland, ME salary details

$25.1K

$49.5K

$80.8K

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

As of Aug 8, 2026, the average yearly pay for co op computer science in Portland, ME is $49,509.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,400.00 and $53,200.00 per year, depending on experience, location, and employer.

What types of projects or tasks do co op computer science students typically work on during their placement?

As a Computer Science Co-op student, you can expect to work on a variety of hands-on projects, such as developing software features, assisting with bug fixes, automating workflows, or performing quality assurance testing. Many companies also involve Co-ops in team meetings, code reviews, and collaborative development efforts, ensuring you gain a holistic understanding of the software development lifecycle. Your daily tasks may vary, but you will often work alongside experienced developers and receive mentorship to help build your technical and professional skills. This real-world experience not only enhances your resume but also helps you build a valuable professional network for future career opportunities.

What are the key skills and qualifications needed to thrive in the co op computer science position, and why are they important?

To thrive as a Co Op Computer Science, a strong foundation in programming languages (such as Java, Python, or C++), problem-solving skills, and current enrollment in a computer science degree program are essential. Familiarity with version control systems like Git, coding environments such as Visual Studio Code, and exposure to databases or basic cloud platforms are commonly expected. Strong communication, time management, and willingness to learn help you stand out and adapt quickly to new tasks and team environments. These skills and qualities are vital for successfully contributing to real-world software projects while gaining practical experience in a professional setting.

What is a co op computer science?

A Co-Op Computer Science job is a paid, structured work opportunity that allows students to gain hands-on experience in the field while completing their degree. Co-op positions are typically full-time and last for a semester or more, offering real-world exposure to software development, data analysis, cybersecurity, and other technical areas. These roles help students build professional skills, expand their network, and improve job prospects after graduation. Participants often alternate between work terms and academic semesters to balance learning and industry experience.

What other jobs can I do with a Co Op Computer Science degree?

A Co Op Computer Science degree can qualify you for roles such as software developer, systems analyst, quality assurance tester, database administrator, or network administrator. These positions often require knowledge of programming languages, problem-solving skills, and familiarity with tools like SQL, Java, or Python, and may involve working in team environments or following industry standards.

Is Co Op Computer Science a good career in 2030?

A co-op in computer science can provide valuable industry experience and skills such as programming, software development, and teamwork, which are highly relevant in the evolving tech landscape. As technology continues to grow, careers in computer science are expected to remain in demand, making co-op opportunities beneficial for future employment prospects.
What are the most commonly searched types of Computer Science jobs in Portland, ME? The most popular types of Computer Science jobs in Portland, ME are:
What job categories do people searching Co Op Computer Science jobs in Portland, ME look for? The top searched job categories for Co Op Computer Science jobs in Portland, ME are:
Co Op Computer Science jobs near you

Data Scientist

Northeastern University

Portland, ME • On-site

$87K - $123K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 days ago

Job description

About the Opportunity
JOB SUMMARY
This is a full-time, one-year term appointment with the possibility of renewal. The position is in-person at Northeastern's Roux Institute in Portland, Maine.
The Data Scientist at the AI Solutions Hub (AISH), the delivery arm of Northeastern University's Experiential AI Institute, will support the development and delivery of AI and data science solutions across diverse industries. The role is designed for early-career data scientists who will work under the guidance of senior data scientists, AI engineers, and faculty leads.
The Data Scientist will contribute to data analysis, feature engineering, model development, evaluation, and documentation, while progressively gaining exposure to production systems, client-facing work, and modern AI practices across Predictive AI and Generative AI use cases.
Education & Experience
  • Master's degree (required) or Ph.D. (optional) in Computer Science, Engineering, Applied Mathematics, Statistics, or a closely related field.
  • 0-2 years of industry, research, or applied project experience in data science or machine learning.
  • Experience gained through internships, co-ops, academic research, or applied capstone projects is acceptable.
  • Industry experience is preferred.

Knowledge, Skills, and Abilities
Technical and Analytical Foundations
  • Solid understanding of statistical methods, regression, hypothesis testing, and basic experimental design.
  • Hands-on experience with classical machine learning methods such as linear/logistic regression, decision trees, and gradient boosting.
  • Familiarity with deep learning concepts and modern architectures (e.g., convolutional neural networks or transformers); deep specialization is not required.
  • Exposure to Generative AI concepts and large language models (LLMs) is a plus.
  • Proficiency in Python for data analysis and model development (NumPy, pandas, scikit-learn).
  • Working knowledge of SQL and relational databases.
  • Familiarity with at least one ML or deep learning framework (e.g., PyTorch, TensorFlow, HuggingFace).
Model Development and Delivery Support
  • Perform data cleaning, exploratory data analysis (EDA), and feature engineering.
  • Train, evaluate, and compare machine learning models under supervision.
  • Assist with model validation, performance monitoring, and documentation.
  • Contribute to ML pipelines and collaborate with ML engineers on deployment-related tasks.
Collaboration and Communication
  • Ability to clearly communicate analytical findings to technical and non-technical audiences with guidance.
  • Collaborate effectively with cross-functional teams including data scientists, engineers, project managers, and faculty experts.
  • Willingness to participate in client meetings in a supporting role.
Preferred Experience
  • Exposure to NLP, computer vision, or speech processing through coursework or academic/industry projects.
  • Familiarity with cloud platforms (AWS, Azure, or GCP).
  • Understanding of software development best practices such as version control (Git) and Agile workflows.

Values & Professional Attributes
Ethical and Responsible AI
  • Awareness of ethical AI principles including fairness, transparency, and responsible model use.
  • Willingness to follow established governance, documentation, and review practices.
Learning and Growth Mindset
  • Strong curiosity and motivation to learn new tools, techniques, and AI methods.
  • Openness to feedback and mentorship.
Execution and Ownership
  • Ability to manage assigned tasks, meet deadlines, and maintain high-quality work.
  • Proactive attitude and willingness to take increasing responsibility over time.

Position Type
Research
Additional Information
Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.
Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information.
All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.
Compensation Grade/Pay Type:
111S
Expected Hiring Range:
$87,785.00 - $123,998.75
With the pay range(s) shown above, the starting salary will depend on several factors, which may include your education, experience, location, knowledge and expertise, and skills as well as a pay comparison to similarly-situated employees already in the role. Salary ranges are reviewed regularly and are subject to change.

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