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Associates In Computer Science Jobs in Maine (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 related field. * 0-2 years of industry, research, or applied project experience in data science or ...

Esri

Sr. Software Developer - iOS Apps

Portland, ME

$61.50 - $79.50/hr

Bachelor's degree in computer science, engineering, or mathematics * Did we mention you've gotta love iOS? Recommended Qualifications * Submitted apps to the App Store * Protocol oriented design ...

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All JobsAssociates In Computer Science JobsAssociates In Computer Science Jobs in Maine

Associates In Computer Science information

See Maine salary details

$23.7K

$46.9K

$76.5K

How much do associates in computer science jobs pay per year?

As of Jul 13, 2026, the average yearly pay for associates in computer science in Maine is $46,852.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,300.00 and $50,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Associate in Computer Science, and why are they important?

To thrive as an Associate in Computer Science, you need a solid grasp of programming fundamentals, data structures, and algorithms, typically supported by an associate degree in computer science or a related field. Familiarity with programming languages like Python, Java, or C++, version control systems such as Git, and basic database management tools is expected. Strong problem-solving abilities, attention to detail, and teamwork make candidates stand out in this role. These skills and qualities are important because they enable effective software development, troubleshooting, and collaboration within technical teams.

What is the difference between Associates In Computer Science vs Computer Support Specialist?

AspectAssociates In Computer ScienceComputer Support Specialist
CredentialsAssociate degree in Computer Science or related fieldTypically a high school diploma or equivalent; certifications like CompTIA A+ often preferred
Work EnvironmentClassroom, labs, or entry-level IT roles in various industriesHelp desks, technical support centers, or onsite support in organizations
Industry UsageEducational programs, entry-level IT positions, internshipsTechnical support, customer service, troubleshooting

Associates In Computer Science provide foundational knowledge suitable for a variety of IT roles, while Computer Support Specialists focus on troubleshooting and assisting users with technical issues. Both roles often require similar certifications and are common entry points into the IT industry, but they differ in scope and daily responsibilities.

What types of entry-level projects or tasks can I expect to work on with an associate degree in computer science?

With an associate degree in computer science, you can expect to work on a variety of foundational projects, such as troubleshooting hardware and software issues, assisting with software testing, writing and debugging basic code, or supporting network administration. Many roles involve collaborating with senior developers or IT professionals to maintain systems and provide technical support. These tasks help you build practical experience and can serve as a stepping stone to more advanced responsibilities or further education.

What are Associates in Computer Science?

Associates in Computer Science refers to a two-year undergraduate degree that provides foundational knowledge in computer programming, software development, and information technology. This degree typically covers key topics such as algorithms, networking, databases, and basic computer systems. It is designed to prepare students for entry-level roles in IT or to continue their education toward a bachelor's degree. Graduates often pursue jobs like computer support specialist, web developer, or junior programmer.
What are popular job titles related to Associates In Computer Science jobs in Maine? For Associates In Computer Science jobs in Maine, the most frequently searched job titles are:
What job categories do people searching Associates In Computer Science jobs in Maine look for? The top searched job categories for Associates In Computer Science jobs in Maine are:
Associates In Computer Science jobs near you
Infographic showing various Associates In Computer Science job openings in Maine as of July 2026, with employment types broken down into 1% As Needed, 70% Full Time, 27% Part Time, and 2% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $46,852 per year, or $22.5 per hour.
Data Scientist

Data Scientist

Northeastern University

Portland, ME • On-site

$87K - $123K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 18 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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