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Remote Computer Science Jobs in Kansas (NOW HIRING)

StackAdapt

StackAdapt is a remote-first company, and we are open to candidates located anywhere in the US or ... Have a Masters degree or PhD in Computer Science, Statistics, Operations Research, or a related ...

Epiq

Lead Developer

Overland Park, KS · Remote

$125K - $155K/yr

Bachelor's degree in Computer Science, Information Technology, or a related field. * Preferred ... equipment. #LI-Remote #LI-RC1 The Compensation range for this role is $125,000 - $155,000 USD ...

Epiq

Lead Developer

Kansas City, KS · Remote

$125K - $155K/yr

Bachelor's degree in Computer Science, Information Technology, or a related field. * Preferred ... equipment. #LI-Remote #LI-RC1 The Compensation range for this role is $125,000 - $155,000 USD ...

Epiq

Lead Developer

Overland Park, KS · On-site +1

$125K - $155K/yr

Bachelor's degree in Computer Science, Information Technology, or a related field. * Preferred ... equipment. #LI-Remote #LI-RC1 The Compensation range for this role is $125,000 - $155,000 USD ...

Wood Plc

Software Development Engineer

Topeka, KS · On-site +1

... computer science or computer information systems. Applicants with a minimum of 5-10 years of ... Experience with data processing imagery and LiDAR from web services, UAS, or other remote sensing ...

CMX1

Engineering Intern

Kansas City, KS · On-site +1

$25/hr

... fully remote or in office in Lawrence, KS. The program includes a balance between on-the-job ... Requirements Rising Junior or Senior with a major in Computer Science, Software Engineering, or a ...

StackAdapt

StackAdapt is a Remote First company, we are open to candidates located anywhere in the US and ... A Computer Science or Engineering background is preferred but not required - ensuring you can ...

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$19.9K

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How much do remote computer science jobs pay per year?

As of May 31, 2026, the average yearly pay for remote computer science in Kansas is $75,869.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,525.00 and $108,603.00 per year, depending on experience, location, and employer.

What Are Remote Computer Science Jobs?

Remote computer science jobs include a wide variety of roles focused on the use and analysis of computers and networks, including security specialists, network administrators, and software programmers. In these roles, you may develop hardware or software, control user accounts and permissions, analyze security procedures, manage confidential information, order repairs and replacements, manage inventory levels, conduct penetration tests, or manage a full development cycle for new software. Remote computer science jobs frequently use databases, private networks, intrusion detection systems, and remote conferencing software to help coordinate jobs. This is something of a catch-all term for computer-based positions, so if you are looking for a specific role, such as a remote programmer or remote computer engineer, you may need to narrow your search terminology.

What are the key skills and qualifications needed to thrive as a Remote Computer Science professional, and why are they important?

To thrive as a Remote Computer Science professional, you need strong programming skills, problem-solving abilities, and a relevant degree or equivalent experience in computer science or software engineering. Proficiency with coding languages (such as Python, Java, or C++), version control systems like Git, and remote collaboration tools (e.g., Slack, Jira, Zoom) is essential. Excellent communication, self-motivation, and time management are vital soft skills for working independently and with distributed teams. These skills and qualities enable efficient development, seamless teamwork, and successful project delivery in a remote environment.

How do remote computer science professionals typically collaborate with their teams to ensure project success?

Remote computer science professionals usually rely on a mix of communication and project management tools—such as Slack, Zoom, GitHub, and Jira—to collaborate effectively with their teams. Regular virtual meetings, code reviews, and shared documentation help maintain alignment and transparency. While working remotely offers flexibility, it can also require proactive communication and self-management to avoid misunderstandings and stay on track with deliverables. Many teams adopt Agile methodologies to structure their work and foster collaboration, regardless of physical location.
More about Remote Computer Science jobs
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What cities in Kansas are hiring for Remote Computer Science jobs? Cities in Kansas with the most Remote Computer Science job openings:
Remote Computer Science jobs near you

Senior/Staff Applied Machine Learning Scientist

StackAdapt

Remote

Other

Posted 24 days ago

Job description

We are searching for a talented Senior/Staff Applied Machine Learning Scientist to join our engineering team as we continue to expand our data science efforts. Our platform is connected to thousands of publishers and advertisers worldwide and as a result, we're dealing with millions of requests each second, making billions of decisions. We utilize the latest technologies to solve challenges in traffic, data storage, machine learning, and scalability.
 
Want to learn more about our Data Science Team: https://alldus.com/ie/blog/podcasts/aiinaction-ned-dimitrov-stackadapt/
Learn more about our team culture here: https://www.stackadapt.com/careers/data-science 
Watch our talk at Amazon Tech Talks: https://www.youtube.com/watch?v=lRqu-a4gPuU
 
StackAdapt is a remote-first company, and we are open to candidates located anywhere in the US or Canada for this position.
What you'll be doing:
  • Lead the creation and optimization of advanced machine learning algorithms-from developing new methods to refining existing techniques-to enhance advertising effectiveness and ROI using deep ML expertise.
  • Own the end-to-end development of production-grade ML models: write efficient, scalable code and collaborate with Machine Learning Engineers to deploy and integrate algorithms into live systems.
  • Drive the prototyping and rigorous testing of innovative algorithms and data pipelines using historical data to validate performance and scalability; lead iterative improvements based on data-driven insights.
What you'll bring to the table:
  • 3+ years of industry experience
  • Have a Masters degree or PhD in Computer Science, Statistics, Operations Research, or a related field, with dual degrees a plus.
  • Have the ability to take an ambiguously defined task, and break it down into actionable steps
  • Have a comprehensive understanding of statistics, optimization and machine learning
  • Are proficient in coding, data structures, and algorithms
  • Enjoy working in a friendly, collaborative environment with others

Apply