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Entry Level Computer Scientist Jobs in Maine (NOW HIRING)

IT Support Specialist

Lewiston, ME · On-site

$22 - $24/hr

This is an entry level IT position that will work as part of the IT team. The I.T. Support ... An Associate Degree in Computer Science or Business administration preferred * 1-3 years of related ...

Site Reliability Engineer 1

Portland, ME · On-site

$75K - $95K/yr

About the Team & Role We are looking for a highly motivated and high-potential entry-level Site ... Bachelor's degree in Computer Science, Engineering, or related field (or equivalent work experience)

Site Reliability Engineer 1

Portland, ME · On-site

$75K - $95K/yr

About the Team & Role We are looking for a highly motivated and high-potential entry-level Site ... Bachelor's degree in Computer Science, Engineering, or related field (or equivalent work experience)

Bachelor's Degree in Chemistry, Life Sciences, or related field, or equivalent combination of ... Skilled in using computer applications, including spreadsheets, databases, manufacturing, and word ...

Lab Technician I

Scarborough, ME · On-site

$19.25 - $25.75/hr

SW). Our Scarborough, ME laboratory is seeking an entry-level Lab Technician to join their team ... Computer Skills: Basic (Required) * Ability to lift/carry/push and/or pull upwards of 25 lbs on a ...

Lab Technician I

Scarborough, ME · On-site

$19.25 - $25.75/hr

Our Scarborough, ME laboratory is seeking an entry-level Lab Technician to join theirteam! The Lab ... Computer Skills: Basic (Required) * Ability to lift/carry/push and/or pull upwards of 25 lbs on a ...

Entry Level Computer Scientist information

See Maine salary details

$48.9K

$107.8K

$133.1K

How much do entry level computer scientist jobs pay per year?

As of Jul 20, 2026, the average yearly pay for entry level computer scientist in Maine is $107,802.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,500.00 and $132,600.00 per year, depending on experience, location, and employer.

What professions make $200,000 a year without a degree?

Entry-level computer scientists typically do not earn $200,000 annually without significant experience or advanced certifications. High-paying tech roles such as software engineers, data scientists, or cybersecurity specialists often require specialized skills, experience, or higher education, though some self-taught professionals in fields like software development or freelance consulting can reach high income levels through skill and project volume.

What does an entry level computer scientist do?

An entry level computer scientist typically works on software development, coding, testing, debugging, and supporting computer systems and applications. They may work under the supervision of senior engineers, assisting in designing algorithms, solving technical problems, and maintaining documentation. Their tasks often involve collaborating with teams, learning new technologies, and applying foundational knowledge to real-world projects. This role provides an opportunity to grow technical skills and gain industry experience.

How to get into computer science with no experience?

Entry level computer scientists can start by learning programming languages such as Python or Java through online courses and tutorials. Gaining practical skills with projects, participating in coding challenges, and obtaining certifications like CompTIA IT Fundamentals can improve employability without prior experience.

What Does an Entry-Level Computer Scientist Do?

As an entry-level computer scientist, your job is to help develop software for your client. In this role, you may help coordinate the flow of work between departments, provide feedback on the development of an application, work with an existing developer to learn coding techniques, study the programming environment, or set up a server. As a junior developer, your job isn't to create the software so much as learn how to make it. Companies typically use this job as an extended training period to prepare employees for larger assignments. These jobs go by several names, so you may need to apply for positions like an entry-level computer programmer or entry-level computer engineer.

What is the difference between Entry Level Computer Scientist vs Entry Level Software Developer?

AspectEntry Level Computer ScientistEntry Level Software Developer
Required CredentialsBachelor's in Computer Science or related field; some roles may prefer internshipsBachelor's in Computer Science, Software Engineering, or related field; coding bootcamps helpful
Work EnvironmentResearch labs, academia, tech companies focusing on algorithms, data structures, and theoretical conceptsSoftware companies, startups, IT departments developing applications, websites, and software solutions
Employer & Industry UsageUniversities, research institutions, tech firms emphasizing research and developmentTech firms, software companies, consulting firms focusing on product development

Entry Level Computer Scientists typically focus on research, algorithms, and theoretical aspects of computing, often working in academia or research labs. In contrast, Entry Level Software Developers concentrate on coding, building applications, and deploying software solutions in industry settings. Both roles require a computer science background but differ in their primary focus and work environment.

How to make $10,000 a month with no degree?

Entry level computer scientists can increase earning potential by developing in-demand skills such as programming, data analysis, or cybersecurity, and gaining experience through freelance projects or certifications like CompTIA or Cisco. Building a strong portfolio and networking can lead to higher-paying freelance or contract work, which can help reach a monthly income of $10,000.

What jobs pay 4000 a week without a degree?

Entry-level computer science roles that can pay around $4,000 a week without a degree typically involve freelance or contract work such as software development, web development, or cybersecurity consulting, often requiring strong skills in programming, problem-solving, and relevant tools. These positions may be project-based, remote, or self-employed, and income depends on experience, skill level, and client demand.

What are the key skills and qualifications needed to thrive as an Entry Level Computer Scientist, and why are they important?

To succeed as an Entry Level Computer Scientist, a solid background in computer science fundamentals, programming languages (such as Python or Java), and a relevant degree are essential. Familiarity with version control systems (like Git), development environments, and basic software engineering tools is typically required. Strong problem-solving abilities, teamwork, and effective communication help individuals excel in collaborative and technical settings. These skills ensure the ability to contribute to projects, adapt to new technologies, and work efficiently within dynamic development teams.

What types of projects do entry level computer scientists typically work on, and how do these projects support skill development?

Entry level computer scientists are often assigned to collaborative projects such as developing software features, debugging code, or assisting with data analysis tasks. These projects usually involve working under the guidance of senior engineers and require learning new programming languages, development tools, and methodologies. By tackling real-world problems and contributing to team goals, entry level professionals gain practical experience, build technical proficiency, and learn industry best practices, which are essential for career advancement.
What are the most commonly searched types of Computer Scientist jobs in Maine? The most popular types of Computer Scientist jobs in Maine are:
What cities in Maine are hiring for Entry Level Computer Scientist jobs? Cities in Maine with the most Entry Level Computer Scientist job openings:
Jr. Data Scientist 00021

$45 - $48/hr

Other

Medical, Life

Posted 11 days ago


Job description

Job Description Hybrid -Westbrook, ME Job Description: The Machine Intelligence team in R&D is looking for an entry-level Data Scientist to develop machine learning solutions for the hematology analyzers. In this role, you will work on classification and clustering problems on tabular data, with solutions deployed on edge hardware in our analyzer platforms. You will work under the supervision of a senior data scientist who will guide your technical development and project execution.

We are looking for a curious, adaptable team player eager to build foundational skills in applied machine learning. What you can expect: Develop classification and clustering models on tabular data to support hematology analyzer capabilities Contribute to model development, evaluation, and iteration under the guidance of a senior data scientist Partner with senior team members to understand requirements, explore data, and validate model performance Document your work clearly so it can be reviewed, reproduced, and built upon by the team Deploy your solutions to edge hardware What you need to succeed: 0-2 years of experience applying machine learning to real-world problems (internships, research, and coursework projects count) Strong working knowledge of Python and common data science libraries (pandas, scikit-learn, NumPy) Solid foundation in statistics, machine learning, and algorithms Demonstrated understanding of classification and clustering methods for tabular data, including when to apply which approach and how to evaluate results Curiosity about the data and the underlying generating processes - a habit of asking "why" before reaching for a model A growth mindset and willingness to learn from more senior team members Ability to communicate analyses and results clearly to your immediate team Bachelor's degree in a quantitative field (statistics, computer science, math, engineering, or related); advanced degree a plus Nice to have: Exposure to deploying ML models on resource-constrained or edge hardware Familiarity with model optimization techniques (quantization, ONNX, TFLite) Experience with version control (Git) and collaborative software development practices Experience modeling data for medical, diagnostic or life sciences applications