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Computer Science Data Jobs (NOW HIRING)

BGI (Ohio)

Computer Science and Data Science

Akron, OH · On-site

General responsibilities in Computer Science include developing and extending software frameworks in enterprise architectures, data interfaces, programing in compiled and interpreted languages, and ...

Geo Owl

Bachelor's degree in Computer Science, Data Science, Software Engineering, AI/ML, Operations Research, or a related field * 5+ years of experience in data science, software development, AI/ML ...

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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.
What cities are hiring for Computer Science Data jobs? Cities with the most Computer Science Data job openings:
What states have the most Computer Science Data jobs? States with the most job openings for Computer Science Data jobs include:
Computer Science Data jobs near you
Infographic showing various Computer Science Data job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution.
Computer Science (Data Science) Adjunct Professor

Computer Science (Data Science) Adjunct Professor

Concordia University Texas

Austin, TX

Part-time

Posted 16 days ago

Job description

POSITIONS PURPOSE
Concordia University Texas is currently searching for an Adjunct (part-time) Professor in Computer Science/ Information Systems to design Data Science courses in our Masters of Computer Science (Data Science Concentration) program.
REQUIRED KNOWLEDGE, ABILITIES amp; PRINCIPLES
  • Doctoral degree required, preferably in Computer Science, Information Technology, or related field
  • Data Science Expertise required
  • 18 Graduate hours in Computer Science/ Information Technology/ Data Science required
  • Experience teaching higher education preferred
  • Love and passion for teaching and imparting knowledge to diverse student populations required
  • Ability to articulate and model the Concordia University Texas’ mission, vision, and values
  • Commitment to encouraging and supporting diversity, inclusion, and equity as a key component of becoming the premier university where the adventure of faith, learning, and life-changing experiences leads to meaningful work
  • All CTX positions require mission-driven individuals who have a heart for the Gospel and are committed to the Concordia Distinctive, our faith-based mission of empowering students from all backgrounds to lead lives of critical thought, compassionate action, and courageous leadership.
COMMITMENT TO THE CONCORDIA UNIVERSITY TEXAS MISSION
Concordia University Texas (CTX) is an Equal Employment Opportunity employer. CTX seeks candidates who demonstrate both professional excellence and strong personal faith in Christ, while strengthening our campus culture of diversity, equity, and inclusion. To the extent allowed by law, we reserve the right to give preference in employment based upon religion. As an institution rooted in the Lutheran tradition and aligned with the Lutheran Church-Missouri Synod, CTX does not discriminate on the basis of gender, race, color, age, national origin, disability, genetic information, military or veteran status, or any other basis protected by law.
The preceding job description outlines the general nature and key duties of this role. It may not list every duty, responsibility, or qualification needed. Please ensure you meet all necessary qualifications and are capable of performing all job functions, with or without reasonable accommodations.

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