Computer Scientist Resume Example & Writing Guide

Use this Computer Scientist resume example and guide to improve your career and write a powerful resume that will separate you from the competition.

Computer scientists are highly skilled professionals who use their knowledge of computers and coding to create software, conduct research, and develop new technologies. Computer scientists can work anywhere from big corporations like Google and IBM to small startups, where they might develop new features for existing products or create entirely new ones from scratch.

Computer scientists are also highly sought after—there’s a reason why there’s such a high demand for their services! They’re creative thinkers who love solving problems, and they have a knack for identifying issues and devising solutions that make things better for everyone.

If you’re ready to make a career change into this exciting field or you’re just looking for a way to stand out from the crowd when applying for jobs, here are some tips and an example resume template to help you write a fantastic computer scientist resume.

Mary Thompson
Houston, TX | (123) 456-7891 | [email protected]

Seasoned computer scientist with a decade of experience in the industry. Proven ability to develop innovative software and solve complex technical problems. Experienced in working with teams in a collaborative environment.

University of Texas at Dallas Jun '10
M.S. in Computer Science
University of Texas at Dallas Jun '06
B.S. in Computer Science
Company A, Computer Scientist Jan '17 – Current
  • Developed a new algorithm for the detection of intracellular bacteria in flow cytometry data, which resulted in an increase of 20% in accuracy compared to existing methods and was published as a conference paper.
  • Designed and implemented a web application that allows users to upload their own cell-flow cytometry data and visualize it using our developed algorithms. The project is currently used by over 100 researchers worldwide.
  • Implemented machine learning models for classification of cancerous cells based on gene expression profiles from RNA sequencing data, resulting in an AUC value of 0.971 when tested against manual annotations performed by experts at the University Hospital Zurich (UZH).
  • Conducted research on deep convolutional neural networks for automated detection of intracellular bacteria in flow cytometry data with promising results but no publications yet due to ongoing collaborations with other groups within UZH’s Bioinformatics department.
  • Collaborated with clinicians at UZH’s Department of Surgery to develop novel diagnostic tools for early detection of colorectal cancer based on analysis of colonoscopy biopsies, resulting in two pending patent applications filed under my name and one publication accepted at IEEE Transactions on Biomedical Engineering journal (under review).
Company B, Computer Scientist Jan '12 – Dec '16
  • Developed a new algorithm that improved the speed of data processing by 25%
  • Created an automated system to monitor and report on network security threats, reducing false alarms by 95%
  • Designed and implemented a cloud-based platform for analyzing large amounts of data (big data)
  • Collaborated with other computer scientists to create innovative solutions for clients’ problems or needs
  • Conducted research in machine learning algorithms, natural language processing, and big data analytics
Company C, Computer Programmer Jan '09 – Dec '11
  • Developed code to specifications and within deadlines in multiple programming languages.
  • Utilized object-oriented programming and design patterns to create scalable and maintainable software solutions.
  • Performed software testing and quality assurance to ensure that delivered software met or exceeded customer expectations.

Industry Knowledge: Software Engineering, Software Quality Assurance, Software Testing, Agile, Web Development, Security, Data Structures
Technical Skills: C++, C#, Java, Python, SQL, Linux, Bash, AWS, Maven, Gradle, Jenkins, Jira, Atlassian Suite, Git, SVN, Trello, Confluence, Slack
Soft Skills: Communication, Problem Solving, Time Management, Leadership, Creativity, Self-Motivation, Teamwork, Dedication

How to Write a Computer Scientist Resume

Here’s how to write a computer scientist resume of your own.

Write Compelling Bullet Points

Bullet points are the most effective way to showcase your experience and qualifications. But rather than simply listing your responsibilities, you can make your bullet points much more interesting and compelling by using specific numbers and metrics.

For example, rather than saying you “managed website development for large-scale e-commerce platform,” you could say you “managed website development for large-scale e-commerce platform, resulting in 100% uptime during peak holiday shopping season.”

The second bullet point is much more interesting and provides a clear picture of what you did and the outcome of your work.

Identify and Include Relevant Keywords

When you apply for a job as a computer scientist, your resume is likely to be scanned by an applicant tracking system (ATS) for certain keywords. ATS programs rank resumes based on the number of relevant keywords found in the applicant’s work history. If your resume doesn’t have enough of the right keywords, the ATS might not rank it high enough to be seen by the hiring manager.

To make sure your resume makes it past the ATS and into the hands of a recruiter, focus on including relevant keywords throughout all of the sections. You can find a list of commonly used keywords for computer scientist positions below:

  • Computer Science
  • Java
  • Python (Programming Language)
  • JavaScript
  • Linux
  • SQL
  • C++
  • C#
  • Web Development
  • GitHub
  • C (Programming Language)
  • Cascading Style Sheets (CSS)
  • Machine Learning
  • AngularJS
  • XML
  • Scrum
  • JavaScript Object Notation (JSON)
  • Software Development
  • Agile Methodologies
  • XML Schema
  • SQL Server
  • MySQL
  • Programmer
  • HTML
  • TypeScript
  • React.js
  • DevOps
  • Docker Products
  • jQuery

Showcase Your Technical Skills

As a computer scientist, you know that computers don’t speak for themselves. They need to be programmed, and the code needs to be written in a way that is easy for others to understand. And that’s where your technical skills come in. Recruiters are looking for computer scientists who are proficient in languages like Java, C++, and Python, and who have experience with algorithms, data structures, and software design. They also want to see that you have a solid understanding of computer science concepts and principles.

So if you have experience with any of these languages or concepts, be sure to list them on your resume. And if you’re not familiar with them, now is the time to learn them!


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