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Computer Science Major Jobs in Atlanta, GA (NOW HIRING)

Scientific Games

Software Development Manager

Alpharetta, GA · On-site

$120K - $159K/yr

Position Summary The Software Development Manager works on major implementation projects for the ... Bachelor's Degree in Computer Science, Engineering or equivalent experience * 10 years plus of ...

NLB Services

Sr. SAP Functional Consultant

Atlanta, GA · On-site

$60.50 - $82.75/hr

Masters, MBA or advanced degree in MIS or Computer Science highly preferred. Responsibilities ... Major Duties and Responsibilities: Define and manage the deliverables of functional team to meet ...

ITTConnect

Appian Developer

Atlanta, GA · Remote

... one major programming language (Java, Python, etc) Knowledge of Sites, complex SAIL Forms Should ... Science, Computer Engineering or a closely related field Benefits None.

CirrusLabs

ServiceNow Administrator

Atlanta, GA · On-site

Major tasks and responsibilities include: * Developing and configuring enterprise IT applications ... Bachelor's degree in information technology, computer science, or a related field. * 2+ years of IT ...

Scientific Games

IT Intern

Alpharetta, GA · On-site

$14.75 - $19.50/hr

Currently pursuing a degree in Information Technology, Computer Science, Information Systems ... This should not be interpreted as all-inclusive; it is intended to identify major responsibilities ...

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Showing results 1-20

All JobsComputer Science Major JobsComputer Science Major Jobs in Atlanta, GA

Computer Science Major information

See Atlanta, GA salary details

$54.3K

$79.9K

$94.2K

How much do computer science major jobs pay per year?

As of Jul 3, 2026, the average yearly pay for computer science major in Atlanta, GA is $79,922.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,500.00 and $89,900.00 per year, depending on experience, location, and employer.

What types of collaborative projects can Computer Science majors expect to work on during internships or entry-level roles?

Computer Science majors often collaborate on projects such as developing new software features, debugging existing applications, or creating internal tools with cross-functional teams. These projects typically involve working closely with other developers, product managers, and designers, providing valuable experience in teamwork and agile methodologies. Such collaboration not only builds technical skills but also enhances communication and problem-solving abilities, which are highly valued in the tech industry.

What is the difference between Computer Science Major vs Software Developer?

AspectComputer Science MajorSoftware Developer
Required CredentialsDegree in Computer Science or related fieldTypically a degree in Computer Science, Software Engineering, or related field; certifications helpful
Work EnvironmentAcademic settings, research labs, tech companiesCorporate, startup, or freelance software development environments
Industry UsageEducational programs, research, and developmentBuilding, testing, and maintaining software applications
Common Search/ComparisonEducational background, skills, career pathsJob roles, skills, salary expectations

While a Computer Science Major provides foundational knowledge and credentials, a Software Developer applies those skills to create and maintain software in various work environments. Both roles often overlap, but the major is more academic, whereas the developer role is more practical and project-focused.

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

To thrive as a Computer Science Major, you need a strong grasp of programming languages, algorithms, and foundational mathematics, typically supported by coursework in computer science or related fields. Familiarity with tools such as integrated development environments (IDEs), version control systems like Git, and possibly certifications in programming or cloud technologies is advantageous. Analytical thinking, problem-solving, and effective communication are essential soft skills that help students excel in both collaborative and independent projects. These combined abilities ensure success in coursework, internships, and future careers in software development, research, or technology-related roles.

What is a Computer Science major?

A Computer Science major is an undergraduate program that focuses on the study of computers, computational systems, and software. Students in this major learn programming languages, algorithms, data structures, computer architecture, and topics like artificial intelligence and cybersecurity. The major prepares students for a wide range of technology careers, including software development, data analysis, and IT. Coursework often includes both theoretical foundations and practical application through projects and internships.
What cities near Atlanta, GA are hiring for Computer Science Major jobs? Cities near Atlanta, GA with the most Computer Science Major job openings:
Computer Science Major jobs near you
Infographic showing various Computer Science Major job openings in Atlanta, GA as of June 2026, with employment types broken down into 87% Full Time, 10% Part Time, and 3% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $79,922 per year, or $38.4 per hour.
Data Scientist with Banking & Finance Experience

Data Scientist with Banking & Finance Experience

Cortex consultants LLC

Atlanta, GA • On-site

Contractor

Posted 21 days ago

Job description

Title: Data Scientist with Banking & Finance Experience
Location: Atlanta, GA
Work Mode: Hybrid ( 3 days from office) (T, W, T)
Over all Years of experience: Min 12+Years
Must have:
  • Python
  • Jupyter
  • TensorFlow
  • Keras
  • ScikitLearn
Experience needed
  • BS degree in a STEM major or equivalent discipline
  • 7-8 years of experience in a related analytical role
  • Overall 12+ Years of experience
  • Proven track record of designing and developing predictive models in real-world applications, preferably Banking and Finance domain
  • Experience with model performance evaluation and predictive model optimization for accuracy and efficiency
Good to have experience
  • Cloud certification strongly preferred
  • Additional role-based certifications may be required depending upon region/BU requirement
  • Passion for data science, data mining, machine learning and experience with big data architectures and methods
  • Past Experience in SAS or Operations Research models
Roles and Responsibility
  • Entity Resolution and Innovation, manipulate large data sets,
  • Integrate diverse data sources, data types and data structures into solutions under management guidance.
  • Analytical approaches to meet business requirements and
  • explore integrating AI methodologies within Entity Resolution System, which involves translating requests into use cases, test cases, preparation of training data sets and iterative algorithm development.
  • Qualification
  • Proven track record of designing and developing predictive models in real-world applications
  • Experience with model performance evaluation and predictive model optimization for accuracy and efficiency
  • Additional role-based certifications may be required depending upon region/BU requirements
  • Passion for data science, data mining, machine learning and experience with big data architectures and methods
  • A master's degree in a quantitative field (Statistics, Mathematics, Economics)
Responsibilities
  • Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to independently prepare datasets, conduct analytics, and develop deployable solutions
  • Collect, analyze and interpret large data assets to define and build multiple innovative solution components leveraging business and technical expertise
  • Support the analytical strategy by understanding critical technical capabilities and suggesting opportunities
  • Lead the development or projects with multiple deliverables, leveraging business and technical expertise
  • Work on high-complexity tasks in problems often within multiple business or analytical domains, collaborating with other teams to develop predictive models, risk assessments, fraud detection, recommendation engines, etc. encouraging enhanced solutions
  • Package, summarize, visualize and perform storytelling on analytical findings and results for management and business users
  • Communicate results to external stakeholders and mid level leadership, able to communicate business impact of work
  • Evaluate the technical work of peer and junior data scientists, guiding them on deliverable quality and accuracy