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Computer Science Marketing Jobs (NOW HIRING)

SkyNano

Computer Science Intern

Knoxville, TN · On-site

Job Title: Computer Science Intern Location: Knoxville, TN | Full-Time, Summer 2026 Company ... (SEM) images. Key Responsibilities: * Assist in developing and refining a Python-based GUI using ...

SkyNano

Computer Science Intern

Knoxville, TN · On-site

Job Title: Computer Science Intern Location: Knoxville, TN | Full-Time, Summer 2026 Company ... (SEM) images. Key Responsibilities: * Assist in developing and refining a Python-based GUI using ...

CVS Health Corporation

$111 - $222/hr

Education*** Master's or PhD in Statistics, Economics, Computer Science, Marketing Science, Operations Research, or related field strongly preferred.**Anticipated Weekly Hours**40**Time Type ...

Jobsbridge

Drupal Developer

San Ramon, CA

Company Description Intelliswift Software, Inc Bachelor's degree or equivalent focused on computer science, marketing, communications or related field. 3 years managing web and digital content Must ...

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How much do computer science marketing jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for computer science marketing in the United States is $48.54, according to ZipRecruiter salary data. Most workers in this role earn between $38.94 and $62.50 per hour, depending on experience, location, and employer.

What is a computer science marketing?

A Computer Science Marketing job combines technical knowledge with marketing strategies to promote tech-related products and services. Professionals in this role use data analytics, SEO, digital advertising, and AI-driven tools to optimize campaigns and drive engagement. They often work with developers, product managers, and sales teams to translate complex technical concepts into marketable content. This role requires both marketing expertise and an understanding of computer science principles to effectively target technical audiences.

What are some typical challenges faced by professionals in computer science marketing roles?

Professionals in Computer Science Marketing often encounter the challenge of translating complex technical features into clear, compelling messaging that resonates with a non-technical audience. They may also need to stay agile in response to rapid changes in both technology and digital marketing trends. Collaboration with product development, engineering, and sales teams is common, requiring strong interpersonal skills to align marketing campaigns with technical capabilities. Successfully navigating these challenges can boost product adoption and foster professional growth in the role.

What are the key skills and qualifications needed to thrive in computer science marketing?

Excelling in Computer Science Marketing requires a unique blend of digital marketing expertise, a strong foundation in computer science, and experience with data-driven decision-making. Familiarity with analytics platforms, marketing automation tools, and knowledge of programming or web technologies such as HTML, CSS, or Python are often expected, and certifications like Google Analytics can be advantageous. Strong communication, creativity, adaptability, and problem-solving abilities set top performers apart. These skills enable professionals to effectively bridge the gap between technical products and successful marketing strategies, ensuring products are accurately represented and reach the right audiences.

Can I get a computer science marketing job with a computer science degree?

A computer science degree can qualify you for a computer science marketing role, especially if you have skills in technical communication, data analysis, or digital marketing tools. Success often depends on additional skills like marketing strategies, content creation, and familiarity with marketing platforms such as SEO or social media. Relevant certifications or experience in marketing can enhance your chances of securing such a position.

What are the top 3 jobs in computer science?

The top three jobs in computer science are software developer, data scientist, and cybersecurity analyst. These roles typically require strong programming skills, knowledge of algorithms, and familiarity with tools like Python, Java, or security frameworks. They are in high demand across various industries and often require relevant certifications or degrees.
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Computer Science Marketing jobs near you
Infographic showing various Computer Science Marketing job openings in the United States as of August 2026, with employment types broken down into 8% Internship, 84% Full Time, and 8% Part Time. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $100,958 per year, or $48.5 per hour.

Computer Science Intern

SkyNano

Knoxville, TN • On-site

Full-time, Internship

Re-posted 22 days ago

Job description

Job Title: Computer Science Intern

Location: Knoxville, TN | Full-Time, Summer 2026

Company: SkyNano LLC

About SkyNano

SkyNano is a fast-growing startup transforming carbon emissions into value. We've developed and patented an electrochemical process to convert CO into high-performance carbon nanotubes (CNTs) and battery-grade graphite, unlocking new possibilities for advanced materials while solving urgent industrial challenges. As we scale our technology from pilot to commercial manufacturing, we are building a world-class team of engineers, scientists, and builders motivated by deep technical challenges and real-world impact.

At SkyNano, you'll find a mission-driven culture that values creativity, rigorous engineering, cross-disciplinary collaboration, and continuous learning. Your work will directly contribute to scaling a first-of-a-kind, high-temperature electrochemical manufacturing platform.

Position Summary

We are seeking a full-time Computer Science Intern to join our team for the Summer of 2026 in our Knoxville, Tennessee facility. The intern's primary project will be the development of a semi-automated image analysis tool for carbon processing from scanning electron microscopy (SEM) images.

Key Responsibilities:

  • Assist in developing and refining a Python-based GUI using PyQt5 and OpenCV.
  • Support integration of analysis features and image segmentation tools.
  • Help test and debug new functionality across different image sets.
  • Contribute to UI improvements for usability and reproducibility in scientific data workflows.

Background coding Knowledge:

  • Python is required, C++ is a bonus to understand the API's.
  • Knowledge of PyQt5 or other GUI frameworks is strongly preferred.
  • OpenCV for image processing is strongly preferred.
  • Familiarity with NumPy and Matplotlib.
  • Familiar with understanding image segmentation, masking, or broad image analysis.

Course Requirements/Level of expertise: Junior level and above.

Other Requirements: Must be a U.S. Citizen.

Apply