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

Education and Experience * Ph.D. in Operations Research, Data Science, Business Analytics, Industrial Engineering, Econometrics, Computer Science, or other applied mathematical discipline, with at ...

Education and Experience * Ph.D. in Operations Research, Data Science, Business Analytics, Industrial Engineering, Econometrics, Computer Science, or other applied mathematical discipline, with at ...

Decision Scientist II

Atlanta, GA · On-site

$100K - $115K/yr

... education and 3+ years of experience in Banking, Finance, Decision/Data Science, Analytics, Computer Science, Applied Mathematics or Engineering 3. Must be able to perform in a cross-functional and ...

Bachelor's degree in computer science, Engineering, Applied Mathematics or related STEM field ... Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time ...

Bachelor's degree in computer science, Engineering, Applied Mathematics or related STEM field ... Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time ...

Bachelor's degree in computer science, Engineering, Applied Mathematics or related STEM field ... Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time ...

Showing results 21-40

Computer Science Education information

See Atlanta, GA salary details

$54.3K

$79.9K

$94.2K

How much do computer science education jobs pay per year?

As of Sep 12, 2026, the average yearly pay for computer science education 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 is computer science education?

Computer science education refers to the teaching and learning of the principles, concepts, and applications of computer science. It includes topics such as programming, algorithms, data structures, computer systems, and computational thinking. Computer science education can take place at various levels, from elementary school to higher education and professional development. Its goal is to equip students with the skills needed to understand and create technology, solve complex problems, and participate in a digital society.

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

To thrive in Computer Science Education, you need a solid background in computer science concepts, curriculum development, and typically a degree in computer science or education. Familiarity with programming languages, learning management systems (LMS), and educational technology tools is often required. Strong communication, patience, and the ability to inspire and engage students are critical soft skills. These skills and qualities ensure effective teaching, foster student understanding, and help bridge the gap between complex technical concepts and learners.

What are some common challenges faced by computer science educators in keeping course content current?

Computer science educators often face the challenge of rapidly evolving technology, which makes it necessary to regularly update course materials to reflect new programming languages, frameworks, and industry practices. Balancing foundational concepts with emerging trends can be difficult, especially given limited classroom time. Additionally, educators must ensure that updates remain accessible to students with varying levels of experience, while also integrating practical, real-world projects to keep students engaged.

What is the difference between Computer Science Education vs Computer Science Teacher?

AspectComputer Science EducationComputer Science Teacher
Required CredentialsTypically requires a degree in computer science or education, often with certification in teachingRequires a degree in computer science or related field, plus teaching certification
Work EnvironmentEducational institutions, online platforms, training programsSchools, colleges, educational institutions
Employer & Industry UsageEducational organizations, edtech companies, training providersPrimary schools, high schools, colleges
Common Search & ComparisonFocuses on curriculum development, programming skills, and educational methodsFocuses on classroom teaching, lesson planning, and student assessment

Computer Science Education generally refers to designing and delivering computer science curricula, often involving curriculum development and educational strategies. In contrast, a Computer Science Teacher primarily focuses on instructing students in computer science concepts within a classroom setting. Both roles require similar credentials but differ in their scope and work environment.

What can I do with computer science education?

Computer science education prepares individuals for a variety of roles such as software developer, data analyst, cybersecurity specialist, and systems analyst. It provides skills in programming, algorithms, and problem-solving, which are applicable across many technology industries and often require proficiency in programming languages and tools like Python, Java, or SQL.

What is a computer science education degree?

A computer science education degree is an academic program that prepares individuals to teach computer science concepts and programming in schools or educational settings. It typically includes coursework in programming, algorithms, and pedagogy, and may lead to certification for teaching computer science at various grade levels.

What jobs will a computer science education degree get you?

A computer science education degree can lead to roles such as software developer, systems analyst, database administrator, cybersecurity analyst, or IT support specialist. These jobs typically require programming skills, knowledge of algorithms, and familiarity with tools like programming languages and operating systems.

What are popular job titles related to Computer Science Education jobs in Atlanta, GA?

For Computer Science Education jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Computer Science Education jobs in Atlanta, GA look for?

The top searched job categories for Computer Science Education jobs in Atlanta, GA are:

What cities near Atlanta, GA are hiring for Computer Science Education jobs?

Cities near Atlanta, GA with the most Computer Science Education job openings:

Infographic showing various Computer Science Education job openings in Atlanta, GA as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $79,922 per year, or $38.4 per hour.

VP of Data Science

Atlanta, GA • On-site

Kaizen Analytix, LLC.
Library and Information Services • 11 - 50 employees

Other

Re-posted 3 days ago


Job description

Kaizen Analytix LLC, an analytics products and services company that gives clients unmatched speed to value through analytics solutions and actionable business insights, is seeking qualified candidates for a VP of Data Science.

Responsibilities

Coordinate multiple client analytics engagements – consisting of both custom and packaged analytics solutions.

  • Overseeing core delivery teams of Kaizen and non-Kaizen (clients, third parties) resources that possess business, technology, and data science skill sets.
  • Guiding project workstream leaders.
  • Solving business problems through excellent decision‑making and innovative, strategic ideas.
  • Implementing solutions in either client or Kaizen environments.
Capabilities for Success

Candidate should demonstrate an ability to…

  • Understand business context of analytics solution: Current state, problem, goals/objectives and their business value, obstacles, and impacted client constituents.
  • Coordinate teams of analysts/data scientists/software engineers in performing and implementing high quality, sophisticated analysis in support of client engagements and internal projects.
  • Provide thought leadership and guidance for multi‑variable, complex statistical analysis and mathematical programming algorithms like linear programming, MIP, discrete optimization etc.
  • Present high‑level insights to client teams (project leadership to executive‑level) and Kaizen leadership.
  • Facilitate and foster interaction between client and Kaizen teams.
  • Supervise contributions to the KA proprietary solution library – KaizenValueAccelerators (KVAs) and suggest new capabilities in terms of mathematical models, solution frameworks, etc.
  • Provide internal Kaizen teams with thought leadership for brainstorming, developing, delivering, and testing service‑oriented software or subscription offerings for targeted clients / industry verticals.
  • Continously enhance working knowledge of new models and solution techniques which could be leveraged across projects, look for cross‑industry applicability.
  • Efficiently coordinate delivery team and client leadership (both business and technical domains) through ambiguity of business process, organization change, and detailed requirements.
  • Provide industry‑specific thought leadership for defining modeling and measurement techniques and utilizing mathematics, statistical methods, engineering methods, operational mathematical techniques to estimate benefits from using analytical models.
  • Support sales and business development activities for both existing and new clients.
  • Participate in group leadership, provide leadership for a part of the overall group including all administrative tasks required.
  • Contribute to Kaizen’s knowledge capital by writing articles and presenting at industry conferences.
Job Requirements
  • Education and Experience
  • Ph.D. in Operations Research, Data Science, Business Analytics, Industrial Engineering, Econometrics, Computer Science, or other applied mathematical discipline, with at least 7 years of relevant professional experience,OR
  • Master’s degree in Operations Research, Data Science, Business Analytics, Industrial Engineering, Econometrics, Computer Science, or other applied mathematical discipline, with at least 9 years of relevant professional experience.
  • Expertise in three or more of the following areas: math programming, probability, statistics, forecasting, machine learning, artificial intelligence, or other heuristics.
  • Excellent written and verbal communication and presentation skills.
  • Thorough understanding of all and a minimum of 5 years of expert level experience in four or more of the following: Python, R, SAS, SQL, GLPK, CPLEX, Gurobi, MATLAB.
  • Highly proficient in all Microsoft Office applications.
  • Ability to structure and analyze large data sets.
  • Thorough understanding of Data Visualization tools (Tableau and Power BI preferred).
  • Through understanding of Agile project management methodology.
  • Ability to travel as dictated by business needs.
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