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Associate Computer Science Jobs in Springfield, VA

Cmu

Associate Data Scientist

Arlington, VA · On-site

$67K - $68K/yr

Requirements: * BS in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with three (3) years of experience or equivalent combination of training ...

Quantifind

Associate Data Scientist

Washington, DC · On-site

$66K - $67K/yr

You are excited to apply your existing expertise in fields such as statistics and computer science ... Associate Data Scientist position on our Data Science team. The Data Science team works closely ...

Quantifind

Associate Data Scientist

Washington, DC · On-site

$66K - $67K/yr

You are excited to apply your existing expertise in fields such as statistics and computer science ... Associate Data Scientist position on our Data Science team. The Data Science team works closely ...

Jobs in Your Community

Data Scientist

Suitland, MD

$143K/yr

... in the Associate Director for Decennial Census Programs located at the U.S. Census Bureau ... Mathematics, statistics, computer science, data science or field directly related to the position.

US Department of Commerce

Data Scientist

Suitland, MD · On-site

$143K/yr

... in the Associate Director for Decennial Census Programs located at the U.S. Census Bureau ... Mathematics, statistics, computer science, data science or field directly related to the position.

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All JobsAssociate Computer Science JobsAssociate Computer Science Jobs in Springfield, VA

Associate Computer Science information

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$9

$19

$33

How much do associate computer science jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for associate computer science in Springfield, VA is $19.86, according to ZipRecruiter salary data. Most workers in this role earn between $15.82 and $21.11 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 Springfield, VA? The most popular types of Computer Science jobs in Springfield, VA are:
What are popular job titles related to Associate Computer Science jobs in Springfield, VA? For Associate Computer Science jobs in Springfield, VA, the most frequently searched job titles are:
What job categories do people searching Associate Computer Science jobs in Springfield, VA look for? The top searched job categories for Associate Computer Science jobs in Springfield, VA are:
What cities near Springfield, VA are hiring for Associate Computer Science jobs? Cities near Springfield, VA with the most Associate Computer Science job openings:
Associate Computer Science jobs near you
Infographic showing various Associate Computer Science job openings in Springfield, VA as of July 2026, with employment types broken down into 1% As Needed, 67% Full Time, 29% Part Time, 1% Temporary, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $41,310 per year, or $19.9 per hour.
Associate Data Scientist

Associate Data Scientist

Cmu

Arlington, VA • On-site

$67K - $68K/yr

Full-time

Re-posted 3 days ago

Job description


What We Do:

Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and artificial intelligence to help our government and industry clients research and solve cybersecurity challenges. In this role, you will work with our customers to identify areas where advanced statistical techniques can help tackle problems, plan and develop prototype solutions, and build out final products. You'll get a chance to work with elite cybersecurity professionals and university faculty to build new technologies that will influence national cybersecurity strategy for decades to come. You will co-author research proposals, execute studies, and present findings to DoW sponsors and at academic conferences.
Our team works on a wide range of projects. Our current work includes research in generative AI and large language models, computer vision, multimodal AI, agentic AI, and assurance of AI systems. Additionally, we craft metrics and experimental designs for large-scale cybersecurity research programs, develop human-in-the-loop machine learning solutions, and build classifiers to identify security vulnerabilities. If you are a data science or statistics expert with an interest in cybersecurity, we want to hear from you!
Requirements:

  • BS in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with three (3) years of experience or equivalent combination of training or experience; or MS in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with one (1) year of experience; or PhD in data science, machine learning, computer science, statistics, or related highly-quantitative discipline.
  • Willingness to complete modest travel to various locations to support the SEI's overall mission.
  • You will be subject to a background check and must be able obtain and maintain a U.S. Department of War security clearance.

Knowledge, Skills and Abilities:

  • Experience in predictive modeling, data science, and/or AI & machine learning
  • Deep understanding of statistical modeling techniques and advanced data analytics
  • Proficient with at least one mathematical/statistical programming package (e.g., R, python numpy/scipy/pandas/polars, MATLAB, etc.)
  • Innovative and inquisitive with ability to imagine novel analytical solutions to problems Thrives in a multi-disciplinary environment
  • Strong communication skills
  • Expertise in one or more of the following:
  • Recommendation systems
  • Time-series forecasting (Prophet, NeuralProphet, Chronos, Lag-Llama, etc.)
  • NLP / LLMs (fine-tuning, RAG, evaluation, prompt engineering)
  • Causal inference / uplift modeling / synthetic controls
  • Modern ML frameworks: LightGBM/XGBoost, CatBoost, PyTorch,JAX, TensorFlow)
  • LLMs / agentic workflows (LangChain/LlamaIndex/Haystack)
  • Experience deploying models (FastAPI, Triton, KServe, SageMaker, Vertex AI, or similar)
  • Experience working with big data (Spark, Trino, Snowflake, BigQuery, Databricks)

Desired Experience:

  • Experience in cybersecurity and privacy is a plus is a plus
  • Experience in U.S. Government work and/or with FFRDCs, UARCs an National Labs is a plus
  • Demonstrated ability to learn new concepts and grow into new areas of work

Location

Arlington, VA, Pittsburgh, PA

Job Function

Software/Applications Development/Engineering

Position Type

Staff - Regular

Full time/Part time

Full time

Pay Basis

SalaryMore Information:

  • Please visit "Why Carnegie Mellon" to learn more about becoming part of an institution inspiring innovations that change the world.

  • Click here to view a listing of employee benefits

  • Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.

  • Statement of Assurance

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About CMU

Sourced by ZipRecruiter

Industry

Offices of mental health practitioners

Company size

201 - 500 Employees

Headquarters location

Harrisburg, PA, US

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