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Computer Science Jobs in Colorado Springs, CO (NOW HIRING)

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Computer Science information

See Colorado Springs, CO salary details

$55.7K

$81.9K

$96.6K

How much do computer science jobs pay per year?

As of Sep 1, 2026, the average yearly pay for computer science in Colorado Springs, CO is $81,903.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,400.00 and $92,100.00 per year, depending on experience, location, and employer.

What is computer science?

Computer science is the study of computers, computational systems, and how they process information. It covers a wide range of topics, including programming, algorithms, data structures, artificial intelligence, and software engineering. Computer scientists design and analyze software and hardware to solve problems and improve technology. The field is essential in many industries, from finance and healthcare to entertainment and research.

What are computer science jobs?

The computer science field provides a wide range of opportunities for technically talented individuals. Depending on your skills and interests, you can find computer science jobs as a software developer, hardware engineer, database administrator, computer systems analyst, network architect, information security analyst, or web developer. You need an analytical mind and strong technical skills to perform your job duties, which may be to develop, maintain, and troubleshoot computer systems, applications, or networks. Your responsibilities in a computer science job are often directly related to the business goals and outcomes of your employer.

What are the key skills and qualifications needed to thrive in a computer science role, and why are they important?

To thrive in a Computer Science role, you need strong programming skills, problem-solving abilities, and a degree in computer science or a related field. Familiarity with languages like Python, Java, C++, version control systems such as Git, and software development methodologies is often required. Analytical thinking, attention to detail, and effective teamwork are valuable soft skills that set candidates apart. These skills ensure you can design efficient solutions, collaborate on complex projects, and adapt to rapidly evolving technologies.

What are some common challenges computer science professionals face when working on collaborative software projects?

Computer science professionals often encounter challenges such as coordinating with team members across different disciplines, managing version control in shared codebases, and ensuring clear communication of technical concepts to non-technical stakeholders. Navigating conflicting priorities and integrating diverse components can also be demanding, especially in agile environments with tight deadlines. Strong collaboration skills, openness to feedback, and familiarity with team tools like Git and project management platforms can help address these challenges effectively.

What is the difference between Computer Science vs Software Developer?

AspectComputer ScienceSoftware Developer
Required CredentialsBachelor's or higher in CS or related fieldBachelor's in CS, Software Engineering, or related field often preferred
Work EnvironmentResearch labs, academia, tech companies, startupsTech companies, software firms, freelance projects
Industry UsageAcademic research, algorithm development, theoretical workBuilding, coding, testing software applications
Common Search/ComparisonFocuses on theoretical foundations and algorithmsFocuses on practical software creation and deployment

Computer Science and Software Developer roles often overlap, but Computer Science emphasizes theoretical foundations, algorithms, and research, while Software Developers focus on designing, coding, and maintaining software applications. Both roles require programming skills, but their primary focus and work environments differ.

Are computer science majors still in demand?

Computer science majors are currently in high demand due to the growth of technology, software development, cybersecurity, and data analysis fields. Employers seek candidates with programming skills, knowledge of algorithms, and experience with tools like Python, Java, and cloud platforms, making it a strong career choice with good job prospects.

What are careers in computer science?

Careers in computer science include roles such as software developer, systems analyst, cybersecurity analyst, data scientist, and network administrator. These jobs typically require strong programming skills, knowledge of algorithms, and familiarity with tools like programming languages, databases, and operating systems.

What can you do with a computer science degree?

A computer science degree prepares individuals for a variety of roles such as software developer, systems analyst, cybersecurity analyst, data scientist, and network administrator. It provides skills in programming, algorithms, and systems design, often requiring knowledge of programming languages, databases, and problem-solving. Graduates can work in technology companies, finance, healthcare, or government agencies, often with opportunities for certification and ongoing learning.

What jobs can I do with computer science?

A degree in computer science opens opportunities for roles such as software developer, systems analyst, cybersecurity analyst, data scientist, and network administrator. These jobs typically require programming skills, knowledge of algorithms, and familiarity with tools like databases and operating systems.

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:

What are popular job titles related to Computer Science jobs in Colorado Springs, CO?

For Computer Science jobs in Colorado Springs, CO, the most frequently searched job titles are:

What cities near Colorado Springs, CO are hiring for Computer Science jobs?

Cities near Colorado Springs, CO with the most Computer Science job openings:

Infographic showing various Computer Science job openings in Colorado Springs, CO as of August 2026, with employment types broken down into 92% Full Time, and 8% Contract. Highlights an 100% In-person job distribution, with an average salary of $81,903 per year, or $39.4 per hour.

Data Scientist-GEOINT with Security Clearance

PatchPlus Consulting Inc

Colorado Springs, CO • On-site

Other

Re-posted 2 hours ago


Job description

We are seeking a highly motivated Data Scientist with Geospatial Intelligence (GEOINT) experience to join our team. The successful candidate will leverage advanced analytics, machine learning, geospatial data science techniques, and intelligence methodologies to extract actionable insights from large and complex datasets. This role involves working with geospatial, imagery, sensor, and intelligence data to support mission-critical decision-making, operational planning, and strategic analysis. The ideal candidate possesses a strong foundation in data science, geospatial analysis, and GEOINT principles, with the ability to transform data into meaningful intelligence products for technical and non-technical stakeholders. Our candidate will demonstrate traits that align with PatchPlus’ guiding principles – Purpose, Proficiency and Character. PatchPlus’ purpose is to continue to make a difference to our nation’s security while providing persistent, meaningful employment to its owner-employees. Proficiency defines the PatchPlus ethos where we seek to hire and develop members who possess a high degree of competence, skill and expertise in their field of work. Character is the moral compass in each member that guides us to do the right things. Responsibilities / Duties:
• Develop, implement, and maintain statistical, predictive, and machine learning models to analyze structured and unstructured datasets.
• Perform exploratory data analysis to identify trends, anomalies, patterns, and correlations.
• Design and automate data pipelines to support data ingestion, processing, and analysis.
• Evaluate and improve model performance through validation, testing, and optimization.
• Analyze geospatial, imagery, remote sensing, and location-based datasets to produce actionable intelligence.
• Integrate multiple intelligence sources, including other relevant datasets where applicable.
• Develop geospatial models and workflows to support situational awareness, target analysis, risk assessment, and operational planning.
• Create maps, geospatial visualizations, dashboards, and intelligence products for stakeholder consumption.
• Conduct spatial and temporal analysis to identify emerging trends and support decision-making.
• Build analytical tools and applications using programming languages such as Python, R, SQL, or similar technologies.
• Utilize geospatial platforms and tools to process, manage, and visualize spatial data.
• Ensure data quality, integrity, and compliance with organizational standards.
• Communicate findings through reports, briefings, visualizations, and presentations.
• Translate complex analytical results into clear, actionable recommendations.
• Support cross-functional teams in identifying new data-driven opportunities and solutions. Required Qualifications:
• Clearance: Active TS/SCI security clearance.
• Bachelor's degree in Data Science, Computer Science, Geography, Geographic Information Systems (GIS), Geospatial Sciences, Statistics, Mathematics, Engineering, Intelligence Studies, or related fields. • 8+ years of professional experience in intelligence analysis, data science, analytics, geospatial analysis, or related discipline. (11+ years of experience in lieu of degree)
• Proficiency in Python, R, SQL, or other analytical programming languages. • Experience with machine learning, statistical modeling, and predictive analytics techniques. • Knowledge of GIS and geospatial analysis tools such as ArcGIS, QGIS, ENVI, or similar platforms. • Experience working with geospatial databases and spatial data formats. • Strong understanding of data visualization principles and tools. • Ability to communicate complex technical findings to diverse audiences. • Knowledge of cloud platforms such as AWS, Azure, or Google Cloud. Preferred Qualifications:
• Master's degree in Data Science, GIS, Geospatial Intelligence, Computer Science, Statistics, or related fields. • Experience with satellite imagery, remote sensing, image exploitation, or computer vision applications. • Experience with big data technologies and distributed computing frameworks. • Familiarity with Intelligence Community standards, methodologies, and workflows. • Experience developing geospatial machine learning or artificial intelligence solutions. • Knowledge of geospatial web services, APIs, and spatial databases such as PostGIS
• Additional technical skills developing data science applications using languages/libraries such as TensorFlow, Keras, PyTorch, pandas, NumPy, Matlab, Paradigm or DataRobot desired.
• Additional technical skills and/or research in areas like text or video processing, computer vision and/or graph analytics desired. Additional Comments:
• Offers contingent on successful contract bid
• Projected start date late 2026