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Associate Computer Science Jobs in Colorado Springs, CO

... computer science, and application specific knowledge. Through analytic modeling, statistical ... Bachelor's degree with 10 years of relevant experience or Associate's degree with 12 years of ...

Data Scientist 3

Colorado Springs, CO · On-site

$155K - $185K/yr

... computer science, and application specific knowledge. Through analytic modeling, statistical ... Bachelor's degree with 10 years of relevant experience or Associate's degree with 12 years of ...

... computer science, and application specific knowledge. Through analytic modeling, statistical ... Bachelor's degree with 10 years of relevant experience or Associate's degree with 12 years of ...

... Associate Degree Travel Security Clearance Required TS/SCI with CI Polygraph Prescient Edge is ... Demonstrate experience and knowledge of computer science concepts, data architecture, intelligence ...

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Associate Computer Science information

See Colorado Springs, CO salary details

$9

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How much do associate computer science jobs pay per hour?

As of Jul 20, 2026, the average hourly pay for associate computer science in Colorado Springs, CO is $18.74, according to ZipRecruiter salary data. Most workers in this role earn between $14.90 and $19.90 per hour, depending on experience, location, and employer.

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

In the tech industry, roles such as software sales executives, cloud solutions architects, and certain cybersecurity specialists can earn $200,000 or more annually without a traditional degree, often relying on extensive experience, certifications, and technical skills. Sales positions in technology companies and specialized IT consulting also have high earning potential without requiring a formal degree.

What jobs pay 4000 a week without a degree?

In the field of computer science, roles such as freelance software developers, cybersecurity consultants, or cloud engineers can potentially earn $4,000 or more weekly through project-based work or contracts, often requiring strong technical skills, certifications, and experience. These positions typically involve remote work, self-employment, or contract arrangements rather than traditional employment, and income depends on skill level, client base, and project scope.

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 foundational knowledge in programming, algorithms, data structures, and typically a bachelor’s degree in computer science or a related field. Familiarity with programming languages like Python, Java, or C++, experience with version control systems such as Git, and understanding of databases are commonly required. Strong analytical thinking, problem-solving skills, and the ability to collaborate effectively with others help you stand out in this role. These competencies ensure you can successfully contribute to software development projects, solve technical challenges, and support team goals in a dynamic technology environment.

What is the difference between Associate Computer Science vs Computer Programmer?

AspectAssociate Computer ScienceComputer Programmer
Required CredentialsAssociate's degree in Computer Science or related fieldTypically a bachelor's degree or coding bootcamp certification
Work EnvironmentEntry-level, team-based projects in tech companies, startups, or IT departmentsWriting, testing, and debugging code in various programming languages
Employer & Industry UsageCommon in tech firms, government agencies, and educational institutionsWidely used across software companies, finance, and tech industries

The main difference is that an Associate Computer Science focuses on foundational knowledge and may involve broader IT tasks, while a Computer Programmer specializes in coding and software development. Both roles often require similar educational backgrounds, but their daily tasks and career paths differ.

What types of projects and technologies can an Associate Computer Science professional expect to work on in their first year?

As an Associate Computer Science professional, you will often be assigned to entry-level projects such as developing or maintaining software applications, testing code, or assisting with database management. You'll likely work with common programming languages like Java, Python, or C++, and may be introduced to collaborative tools such as version control systems (e.g., Git). The team environment typically includes regular code reviews and mentorship from senior engineers, providing opportunities to learn best practices and develop your technical skills. Over time, you'll gain exposure to more complex tasks and technologies as you build your experience.

What is an Associate Computer Science professional?

An Associate Computer Science professional typically holds an associate degree in computer science or a related field and works in entry-level positions within the tech industry. They are responsible for assisting with software development, troubleshooting, maintaining computer systems, and supporting IT teams. These professionals often work under the supervision of more experienced engineers or developers and may contribute to coding, testing, and basic technical support. The role is a great starting point for those looking to build a career in technology and can lead to more advanced opportunities with experience and further education.

Is an Associates in computer science useful?

An associate's degree in computer science provides foundational knowledge of programming, algorithms, and systems, which can help qualify for entry-level roles such as support technician or junior developer. It can also serve as a stepping stone to a bachelor's degree or specialized certifications, increasing job opportunities in the tech field.

What can you do with an associate's degree in computer science?

An associate's degree in computer science prepares individuals for entry-level roles such as computer support specialist, help desk technician, or network technician. It provides foundational skills in programming, troubleshooting, and basic networking, often enabling employment in IT departments or technical support environments.
What are the most commonly searched types of Computer Science jobs in Colorado Springs, CO? The most popular types of Computer Science jobs in Colorado Springs, CO are:
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What job categories do people searching Associate Computer Science jobs in Colorado Springs, CO look for? The top searched job categories for Associate Computer Science jobs in Colorado Springs, CO are:
What cities near Colorado Springs, CO are hiring for Associate Computer Science jobs? Cities near Colorado Springs, CO with the most Associate Computer Science job openings:

Data Scientist 3

GRVTY

Colorado Springs, CO

Other

Re-posted 9 days ago


Job description

What You'll be Owning:

  • We are seeking a Data Scientist to support our NLP project focused on accurate and automatic tokenization of language data from spoken or written sources. In this role, you will develop automated solutions for annotating language data with parts of speech information and enhance existing models by evaluating their performance against human-generated annotations for both speech and text. Your contributions will be crucial in advancing our NLP capabilities and ensuring high-quality language processing.

What You Must Have:

  • Possess 2 or more of the following skill areas:
    • Foundations: (Mathematical, Computational, Statistical)
    • Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility)
    • Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations)
  • Devise strategies for extracting meaning and value from large datasets.
  • Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in Government data holdings.
  • Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. Effectively communicate complex technical information to non-technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting Government collection, processing, storage and analytic capabilities and limitations.
  • Bachelor's degree with 10 years of relevant experience or Associate's degree with 12 years of relevant experience
    • Bachelor's degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning)  and/or computer science (e.g. algorithms, programming, data structures, data mining, artificial intelligence).  College-level requirement, or upper-level math courses designated as elementary or basic do not count. Note: A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university.
  • Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g. Python)), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering. Experience in more than one area is strongly preferred.
  • Active TS/SCI w/ poly