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Computer Science Data Jobs in Colorado (NOW HIRING)

Deloitte

Manager - Data Science / Data Lake

Denver, CO · On-site

Data Lake - Manager Are you looking to apply cyber analytics, artificial intelligence, and security ... Bachelor's degree in Engineering, Mathematics, Statistics, Computer Science, Cybersecurity, or a ...

Peaksware

Data Scientist - TrainingPeaks

Louisville, CO · On-site

$94K - $158K/yr

Background in computer science, data science, statistics, applied mathematics, or similar technical fields. * Strong analytical thinking and problem-solving skills with a high attention to detail.

Peaksware

Data Scientist - TrainingPeaks

Louisville, CO · On-site

$94K - $158K/yr

Background in computer science, data science, statistics, applied mathematics, or similar technical fields. * Strong analytical thinking and problem-solving skills with a high attention to detail.

Peaksware

Data Scientist - TrainingPeaks

Louisville, CO · On-site +1

$94K - $158K/yr

Background in computer science, data science, statistics, applied mathematics, or similar technical fields. * Strong analytical thinking and problem-solving skills with a high attention to detail.

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Computer Science Data information

What are some common challenges faced by professionals working in computer science data roles, and how can they be addressed?

Professionals in computer science data roles often encounter challenges such as handling large and complex datasets, ensuring data quality, and keeping up with rapidly evolving technologies. Collaboration with cross-functional teams is essential, as data professionals frequently work with engineers, analysts, and business stakeholders to interpret data and deliver actionable insights. To address these challenges, it's important to invest in continuous learning, leverage automation tools for data cleaning, and maintain clear communication channels within the team.

What is the difference between Computer Science Data vs Data Analyst?

AspectComputer Science DataData Analyst
Required CredentialsBachelor's or higher in Computer Science, Data Science, or related fieldsBachelor's degree in Statistics, Mathematics, or related fields
Work EnvironmentSoftware development, data engineering, algorithm designData interpretation, reporting, visualization
Employer & Industry UsageTech companies, startups, research institutionsBusiness, finance, marketing, healthcare
Common Search & ComparisonOften compared for data handling and programming skillsCompared for data interpretation and business insights

Computer Science Data professionals focus on developing algorithms, managing data systems, and building software solutions. Data Analysts primarily interpret data, create reports, and provide insights for decision-making. While both roles work with data, their core responsibilities and skill sets differ significantly.

What are the key skills and qualifications needed to thrive as a Data Scientist in Computer Science, and why are they important?

To thrive as a Data Scientist in Computer Science, you need strong analytical skills, proficiency in statistics, and a solid background in programming (often with a degree in computer science, mathematics, or a related field). Familiarity with tools like Python, R, SQL, and machine learning frameworks, as well as certifications such as AWS Certified Data Analytics or Google Data Engineer, are highly valuable. Excellent problem-solving abilities, communication skills, and curiosity help you interpret data insights and explain findings to non-technical stakeholders. These skills ensure you can extract actionable insights from complex data, drive business decisions, and collaborate effectively within multidisciplinary teams.

What is computer science data?

Computer science data refers to the information that is processed, analyzed, and utilized within the field of computer science. This data can include anything from raw numbers and text to images, audio, and video, and is often used in programming, machine learning, artificial intelligence, databases, and data analysis. Understanding how to collect, store, structure, and interpret data is a fundamental skill for computer scientists and is crucial for solving real-world problems using technology.
Computer Science Data jobs near you
Infographic showing various Computer Science Data job openings in Colorado as of June 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution.