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Entry Level Computer Scientist Jobs in Washington, DC

We are actively looking for Entry level QA/BA Analyst position for our clients throughout USA ... Qualifications Bachelors/ Masters (Computer Science, Information Technology, Engineering, Finance ...

We are actively looking for Entry level QA/BA Analyst position for our clients throughout USA ... Qualifications Bachelors/ Masters (Computer Science, Information Technology, Engineering, Finance ...

For entry-level job seekers to get client interviews and jobs, they need to differentiate ... Recent computer science/engineering/mathematics/statistics or science graduates looking to make ...

Entry-Level UI Developer

Ashburn, VA · On-site

$51.25 - $66.50/hr

Description SAIC is currently seeking an Entry-Level UI Developer (React and Angular UI development ... Qualifications Required Skills and Experience * BS Degree in Computer Science and 1 year of ...

Currently, we are looking for entry-level software programmers, Java full stack developers, Python ... Recent computer science/engineering/mathematics/statistics or science graduates or people looking ...

Description This entry-level position will offer you the opportunity to utilize and expand your ... in Computer Science, Artificial Intelligence, Software Engineering, or related fields that helps ...

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Showing results 1-20

Entry Level Computer Scientist information

See Washington, DC salary details

$57.2K

$126.1K

$155.7K

How much do entry level computer scientist jobs pay per year?

As of Jul 4, 2026, the average yearly pay for entry level computer scientist in Washington, DC is $126,107.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,000.00 and $155,200.00 per year, depending on experience, location, and employer.

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

Entry-level computer scientists typically do not earn $200,000 annually without significant experience or advanced certifications. High-paying tech roles such as software engineers, data scientists, or cybersecurity specialists often require specialized skills, experience, or higher education, though some self-taught professionals in fields like software development or freelance consulting can reach high income levels through skill and project volume.

What does an entry level computer scientist do?

An entry level computer scientist typically works on software development, coding, testing, debugging, and supporting computer systems and applications. They may work under the supervision of senior engineers, assisting in designing algorithms, solving technical problems, and maintaining documentation. Their tasks often involve collaborating with teams, learning new technologies, and applying foundational knowledge to real-world projects. This role provides an opportunity to grow technical skills and gain industry experience.

How to get into computer science with no experience?

Entry level computer scientists can start by learning programming languages such as Python or Java through online courses and tutorials. Gaining practical skills with projects, participating in coding challenges, and obtaining certifications like CompTIA IT Fundamentals can improve employability without prior experience.

What Does an Entry-Level Computer Scientist Do?

As an entry-level computer scientist, your job is to help develop software for your client. In this role, you may help coordinate the flow of work between departments, provide feedback on the development of an application, work with an existing developer to learn coding techniques, study the programming environment, or set up a server. As a junior developer, your job isn't to create the software so much as learn how to make it. Companies typically use this job as an extended training period to prepare employees for larger assignments. These jobs go by several names, so you may need to apply for positions like an entry-level computer programmer or entry-level computer engineer.

What is the difference between Entry Level Computer Scientist vs Entry Level Software Developer?

AspectEntry Level Computer ScientistEntry Level Software Developer
Required CredentialsBachelor's in Computer Science or related field; some roles may prefer internshipsBachelor's in Computer Science, Software Engineering, or related field; coding bootcamps helpful
Work EnvironmentResearch labs, academia, tech companies focusing on algorithms, data structures, and theoretical conceptsSoftware companies, startups, IT departments developing applications, websites, and software solutions
Employer & Industry UsageUniversities, research institutions, tech firms emphasizing research and developmentTech firms, software companies, consulting firms focusing on product development

Entry Level Computer Scientists typically focus on research, algorithms, and theoretical aspects of computing, often working in academia or research labs. In contrast, Entry Level Software Developers concentrate on coding, building applications, and deploying software solutions in industry settings. Both roles require a computer science background but differ in their primary focus and work environment.

How to make $10,000 a month with no degree?

Entry level computer scientists can increase earning potential by developing in-demand skills such as programming, data analysis, or cybersecurity, and gaining experience through freelance projects or certifications like CompTIA or Cisco. Building a strong portfolio and networking can lead to higher-paying freelance or contract work, which can help reach a monthly income of $10,000.

What jobs pay 4000 a week without a degree?

Entry-level computer science roles that can pay around $4,000 a week without a degree typically involve freelance or contract work such as software development, web development, or cybersecurity consulting, often requiring strong skills in programming, problem-solving, and relevant tools. These positions may be project-based, remote, or self-employed, and income depends on experience, skill level, and client demand.

What are the key skills and qualifications needed to thrive as an Entry Level Computer Scientist, and why are they important?

To succeed as an Entry Level Computer Scientist, a solid background in computer science fundamentals, programming languages (such as Python or Java), and a relevant degree are essential. Familiarity with version control systems (like Git), development environments, and basic software engineering tools is typically required. Strong problem-solving abilities, teamwork, and effective communication help individuals excel in collaborative and technical settings. These skills ensure the ability to contribute to projects, adapt to new technologies, and work efficiently within dynamic development teams.

What types of projects do entry level computer scientists typically work on, and how do these projects support skill development?

Entry level computer scientists are often assigned to collaborative projects such as developing software features, debugging code, or assisting with data analysis tasks. These projects usually involve working under the guidance of senior engineers and require learning new programming languages, development tools, and methodologies. By tackling real-world problems and contributing to team goals, entry level professionals gain practical experience, build technical proficiency, and learn industry best practices, which are essential for career advancement.
What are the most commonly searched types of Computer Scientist jobs in Washington, DC? The most popular types of Computer Scientist jobs in Washington, DC are:
Infographic showing various Entry Level Computer Scientist job openings in Washington, DC as of June 2026, with employment types broken down into 91% Full Time, 6% Part Time, 1% Temporary, and 2% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $126,107 per year, or $60.6 per hour.
Data Scientist - Multiple Levels (TS/SCI with Poly Required)

Data Scientist - Multiple Levels (TS/SCI with Poly Required)

Red Alpha

Annapolis, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Job description

Description
A little about us:
The Red Alpha Data Science practice grew out of Red Alpha's reputation in Software and System Engineering with our Department of Defense clients. As sometimes happens, customers who trust our expertise in adjacent areas asked Red Alpha to assist with some of their burgeoning Data Science problems.
Culturally, it probably suffices to say that we take our work seriously, but not ourselves. Our leaders have spent time in the trenches and have cursed daylight savings time changes and trailing whitespace as many times as you have. We like to say that we spend 80% of our time cleaning the data...and 20% of our time complaining about cleaning the data. Joking aside, our voices matter, and it is easy to see how our decisions affect the Data Science practice and Red Alpha as a whole. We have a clear vision of where we are headed.
Our team takes a pragmatic approach to Data Science, defining it loosely as the intersection of technical expertise, business acumen, and soft skills to solve business problems with data. We spend a lot of time trying to understand the problem before we set about building a solution, and we prefer lower tech useful solutions over shiny algorithms and dust on the shelf. Did we mention we're pragmatic? We have a diverse set of skills across our team, and whether you are a traditional Data Scientist (whatever that means...), an Applied Research Mathematician, a Database Engineer, a Full Stack Developer, or something else in that neighborhood, if you have a knack for picking apart data to make sense of it, we would enjoy having a conversation with you.
A day in the life:
In this role, you will provide support and related services to the implementation of enterprise data representations in various mission domains. You will be performing end-to-end systems engineering for data flows from the perspective of data format modeling, data mapping, and support to implementers and mission customers. This role requires strong software and systems engineering expertise from cradle to grave with limited, high-level direction, in the areas of:
  • Enabling and growing existing automation efforts, adding additional data streams, and driving forward data transformation efforts.
  • Focusing on the sponsor's business analytics, metrics collection, and analysis efforts. The sponsor's management team requires a data scientist to characterize the sponsor's workforce, workforce productivity and output, and the value of collection to the workforce.
  • Possessing an instinctive aptitude to leverage information and knowledge sharing networks and navigate conflict in a way that fosters constructive outcomes.
What you bring to the table:
Now on to the fun of formal requirements - we have to apologize in advance for the corporate-speak here, but just hold your breath for a few lines and everything will be okay. We are actively hiring data professionals for roles across a broad range of skill levels and projects. Our goal is to find the best fit for you so please note that if you apply to one of them and we see a fit elsewhere we will let you know. So do not worry about applying initially for every position you might be interested in.
All of our data scientists need the following skills:
  • Proficiency with a scripting language such as R or Python
  • Experience with data science techniques and algorithms such as classification, clustering, random forests, deterministic forests (jk), hierarchical modeling, deep learning, Markov Chain Monte Carlo, and others. Note that you do not need to have all of these (we hope you enjoyed our random smattering of techniques...!) but you should be comfortable and capable with several of them and know some others not on this list.
  • A B.S. Degree in Data Science, Mathematics, Computer Science or related field.
  • For entry-level data scientists, 0-3 years of experience on Data Science projects.
  • For mid-level data scientists, 3-6 years of experience on Data Science projects.
  • For senior-level data scientists, at least 6 years of experience on Data Science projects with at least 3 years of experience managing teams.
  • A TS/SCI with Polygraph security clearance.

For this particular role, you will also need:
  • A broad range of knowledge including information technology, requirements, technical architecture analysis (e.g., understanding data flow diagrams, system architecture diagrams, etc.), and an understanding of functional and system analysis.
  • Knowledge of multiple development methodologies, Agile (Scrum & Kanban), etc.
  • An understanding of SIGINT

These are important skills to have, but not necessarily mandatory:
  • Exceptional interpersonal skills. You know, as in you might not be at the top of the list to be a game show host, but you do like people and enjoy solving problems jointly with your colleagues.
  • Experience with Java, C, or other compiled languages
  • Comprehensive knowledge of Saturday Night Live sketches (just kidding)
  • Experience with SQL/NoSQL, Spark, Hadoop
  • Familiarity with Javascript and Scripting
  • Familiarity with Docker, GitLab, and React
The total package:
Our total compensation package was strategically designed with our members in mind with the intention to: reward our members for their hard work and commitment to our customers' missions; allow members to share in Red Alpha's success as we continue to grow and expand our footprint; provide long-term career opportunities through stability and internal mobility; and provide the resources our members need to support themselves and their dependents in the form of a robust benefits package. Our total compensation package includes a competitive base salary and benefits such as health, life/disability, 401k, paid time off, professional development, and generous bonus programs. Please visit our benefits tab for additional information.
Salary Range:
  • Disclosed pay ranges are a general guideline, and are not a guarantee of a final salary or compensation. Our approach in determining final salaries takes into consideration a number of factors such as education, certifications, total years of relevant professional experience, actual level of expertise, and the responsibilities of the role itself.
  • Based on the outlined roles, responsibilities, and requirements, the projected pay range for these positions are:
    • Entry-level: $95,000 - $135,000
    • Mid-level: $110,000 - $155,000
    • Senior-level: $135,000 - $235,000

Some of our additional perks and benefits include:
  • Retire sooner than planned: Get closer to retirement with up to 10% in 401k contributions, immediately vested.
  • Have a career AND a life: Enjoy up to 5 weeks of leave (25 days of personal time off) and 11 paid floating holidays.
  • Stay at your best: As a member, we'll pay 100% of your premiums for comprehensive health, dental, and vision insurance. We'll also pay the majority of the premiums for your family. Let's not forge free access to a fully equipped state of the art gym!
  • Keep current on new technologies and technological advancements: $5250 per year towards ongoing education, trainings, certifications, and maintaining professional memberships.
  • Dress in style: Spend up to $300 per year on company branded merchandise featuring top quality brands such as Under Armour, Nike, Carhartt, YETI, etc.
  • Enjoy the culture: Attend fun company events throughout the year such as our Oktoberfest, summer picnic, and annual holiday party! These are all in additon to your team events which may include happy hours, baseball games, snowboarding, RenFest, and more!

Every day, our elite customers are pushing through "the grind" to defeat the enemy, even putting their lives on the line for our freedom. Rise to the occasion with us to deliver engineering excellence, to match their dedication to this nation. Join us as we bring digital transformation to the fight!