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Full Time Computer Science Jobs in Fayetteville, GA

Nastech Global

ITSM Lead

Atlanta, GA · On-site

Job Title: ITSM Lead Location: Atlanta, GA(Onsite) Job Type: Full Time Must Have Technical ... Bachelor's degree in computer science, information technology, or a related field. Relevant ...

Dolby

Sr Researcher, Sight Lab

Atlanta, GA · On-site

At Dolby, science meets art, and high tech means more than computer code. As a member of the Dolby ... full-time position is $133,500-$163,000, which can vary if outside this location,plus bonus ...

Dolby

Senior Audio AI Researcher

Atlanta, GA · On-site

$88K - $120K/yr

At Dolby, science meets art, and high tech means more than computer code. As a member of the Dolby ... The Atlanta Area base salary range for this full-time position is $138.000-170,000, which can vary ...

ACI Infotech

Data Analyst

Atlanta, GA · On-site

Role: Data Analyst Duration: Long term - Full Time Location: Atlanta, GA - Locals OR Ready to ... Business management, computer science, or any related discipline will be Plus 2- 5 years of data ...

ACI Infotech

Data Analyst

Atlanta, GA · On-site

Role: Data Analyst Duration: Long term - Full Time Location: Atlanta, GA - Immediate Start - 7th ... Business management, computer science, or any related discipline will be Plus 5+ years of data and ...

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Showing results 21-40

All JobsComputer Science JobsFull Time Computer Science JobsFull Time Computer Science Jobs in Fayetteville, GA

Full Time Computer Science information

See Fayetteville, GA salary details

$49.6K

$73K

$86.1K

How much do full time computer science jobs pay per year?

As of Aug 19, 2026, the average yearly pay for full time computer science in Fayetteville, GA is $73,004.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,100.00 and $82,100.00 per year, depending on experience, location, and employer.

What is a full time computer science job?

Full time computer science jobs are positions where individuals work at least 35-40 hours per week in roles that involve the application of computer science principles. These roles can include software developer, systems analyst, data scientist, cybersecurity specialist, and more. Full time positions often include benefits such as health insurance, paid time off, and retirement plans. They typically require a degree in computer science or a related field, and may involve working for technology companies, financial institutions, research organizations, or government agencies.

What does a typical day look like for a full time computer science professional and how do they collaborate with other teams?

A typical day for a full-time computer science professional often involves a mix of coding, problem-solving, and meetings. You may spend several hours developing, testing, and debugging software, as well as reviewing code written by colleagues. Collaboration is key, as you frequently work with cross-functional teams such as product managers, designers, and quality assurance to ensure that projects meet user requirements and are delivered on time. Clear communication and teamwork are essential, especially when resolving issues or integrating new features. This structure fosters a dynamic environment where learning and adapting to new technologies is encouraged.

What are the key skills and qualifications needed to thrive as a computer scientist, and why are they important?

To thrive as a Computer Scientist, you need a solid background in algorithms, programming, and mathematics, typically supported by a degree in computer science or a related field. Familiarity with programming languages (such as Python, Java, or C++), version control systems like Git, and often certifications in areas like cloud computing or data science are commonly required. Analytical thinking, problem-solving, and effective teamwork are soft skills that set individuals apart in this role. These abilities are vital for developing innovative solutions, collaborating on complex projects, and adapting to rapidly evolving technology.

What is the difference between Full Time Computer Science vs Software Developer?

AspectFull Time Computer ScienceSoftware Developer
Required CredentialsBachelor's or higher in Computer Science or related fieldOften similar; degree preferred but not always required
Work EnvironmentAcademic, research, or corporate settingsTech companies, startups, or freelance projects
Industry UsageUniversities, research labs, tech firmsSoftware companies, IT services, app development
Common Search IntentEducational paths, career options in CSJob roles, skills, and project work in software development

Full Time Computer Science typically refers to a degree-focused, academic or research-oriented role requiring formal education. Software Developer roles are more practical, project-based, and often focus on coding and application development. While overlapping in skills and credentials, Full Time Computer Science emphasizes foundational knowledge, whereas Software Developer positions are more about applying that knowledge in real-world projects.

Are computer science full time majors still in demand?

Computer science full-time majors remain in high demand due to the ongoing growth of technology industries, software development, data analysis, and cybersecurity. Graduates with programming skills, knowledge of algorithms, and experience with tools like Python, Java, or cloud platforms are particularly sought after across various sectors.

Are full time computer science majors still in demand?

Full-time computer science majors are currently in high demand due to the growth of technology industries, software development, data analysis, and cybersecurity. Employers seek candidates with programming skills, knowledge of algorithms, and experience with tools like Python, Java, and cloud platforms, making it a strong field for job stability and opportunities.

Is computer science a stressful job?

Computer science jobs can be stressful due to tight deadlines, complex problem-solving, and rapid technological changes. However, stress levels vary depending on the specific role, work environment, and individual workload management skills.

Is full time computer science a stressful job?

Full-time computer science roles can be stressful due to tight deadlines, complex problem-solving, and rapid technological changes. However, stress levels vary depending on the specific position, work environment, and individual workload management skills.

What are the top 3 jobs in full time computer science?

The top full-time computer science jobs include software developer, systems analyst, and cybersecurity analyst. These roles typically require strong programming skills, knowledge of computer systems, and often relevant certifications or degrees. They are in high demand across various industries due to ongoing technological growth.

What are the most commonly searched types of Computer Science jobs in Fayetteville, GA?

The most popular types of Computer Science jobs in Fayetteville, GA are:

What cities near Fayetteville, GA are hiring for Full Time Computer Science jobs?

Cities near Fayetteville, GA with the most Full Time Computer Science job openings:

Full Time Computer Science jobs near you
Infographic showing various Full Time Computer Science job openings in Fayetteville, GA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 3% Contract, and 2% Nights. Highlights an 75% Physical, 2% Hybrid, and 23% Remote job distribution, with an average salary of $73,004 per year, or $35.1 per hour.

Staff AI Scientist

Intuit

Atlanta, GA

Full-time

Re-posted 24 days ago

Intuit rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

107th of 245 rated software companies

Job description

Intuit is looking for an innovative and hands-on Staff AI Scientist to join the Intuit AI team.

Come join our collaborative and creative group of AI scientists and machine learning engineers and build models that directly affect hundreds of thousands of our customers. In this role you will be building and deploying machine learning models using both analytical algorithms and deep learning approaches. 


Responsibilities

  • Practices leadership and communication skills to influence teams and to evangelize AI science across the organization
  • Collaborates with stakeholders to define success criteria and align model metrics with business goals. Works side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products
  • Leads technical work of a scrum team: initiating and designing model solutions, driving end-to-end architecture designs of the team’s work, and holding the team accountable for high quality code, git, design, costs and implementation standards
  • Performs hands-on data analysis and modeling with large data sets, including discovering data sources, getting data access, cleaning up data, and making them “model-ready”. You need to be willing and able to do your own ETL and design/build featurization. 
  • Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.  
  • Runs A/B tests to draw conclusions on the impact of your team’s work and communicates results to peers and leaders
  • Communicates with partners to ensure successful delivery and integration of DS solutions.  
  • Proactively researches, explores, and enables new ML technologies. Keeps up with the new developments in academia and industry and considers possible extensions to solve Intuit customer problems. 

Qualifications

  • 4+ years of industry experience with AI science
  • BS, MS or PhD in Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent
  • 4+ years of hands-on expertise in ML paradigms such as Causal-ML, supervised/unsupervised, Online, Bayesian, Reinforcement or Deep Learning.
  • Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization.
  • Proficient  in NLP techniques, Explainable AI, and ML frameworks. 
  • Expertise in modern advanced analytical tools and programming languages such as Python, Scala, Java and/or R.
  • Efficient in SQL, Hive, SparkSQL, etc.
  • Comfortable working in a Linux environment
  • Experience with building end-to-end reusable pipelines from data acquisition to model output delivery
  • Quick learner, adaptable, with the ability to work independently in a fast-paced environment
  • Strong oral and written communication skills. Ability to conduct meetings and make professional presentations, and to explain complex concepts and technical material to non-technical users

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Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

Employment Type: Full-Time

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