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Computer Science Economics Jobs in Georgia (NOW HIRING)

Kaizen Analytix, LLC.

VP of Data Science

Atlanta, GA · On-site

$140 - $180/hr

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 ...

Kaizen Analytix LLC

VP of Data Science

Atlanta, GA · On-site

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 ...

Cherokee Federal

Data Scientist

Atlanta, GA · On-site

$90K - $95K/yr

... science, programming, and advanced analytical methods as applied to public health. * Collaborate with epidemiologists, statisticians, computer scientists, economists, policy analysts, public health ...

Socket.dev

Data Scientist

Atlanta, GA · On-site

$90 - $95/hr

... science, programming, and advanced analytical methods as applied to public health. * Collaborate with epidemiologists, statisticians, computer scientists, economists, policy analysts, public health ...

Cherokee Federal

Data Scientist

Atlanta, GA · On-site

$90K - $95K/yr

... science, programming, and advanced analytical methods as applied to public health. * Collaborate with epidemiologists, statisticians, computer scientists, economists, policy analysts, public health ...

Cherokee Federal

Data Scientist

Atlanta, GA · On-site

$90 - $95/hr

... science, programming, and advanced analytical methods as applied to public health. * Collaborate with epidemiologists, statisticians, computer scientists, economists, policy analysts, public health ...

EdHike LLC

Technical Architect - Fulltime / W2

Atlanta, GA · On-site

$63.75 - $77/hr

Master's/Bachelor's Degree in Computer Science, Economics, Engineering, IT, Mathematics, or related field preferred * More than 15 years applied experience * Experience of ""owning"" the design of a ...

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Computer Science Economics information

What is a computer science economics?

A Computer Science Economics job combines computing, data analysis, and economic principles to solve complex business and financial problems. Professionals in this field work with algorithms, machine learning, and economic models to analyze trends, optimize decision-making, and improve efficiency. They may work in industries like finance, tech, or policy analysis, using data-driven methods to drive insights and innovation.

What does a computer science economics do?

Professionals in Computer Science Economics roles blend data analysis, economic modeling, and software development to provide insights that guide business strategies and policy decisions. On a typical day, you might analyze large datasets, build predictive economic models, collaborate with data engineers or economists, and present findings to stakeholders. Many roles are highly collaborative, often involving teamwork with both technical and non-technical colleagues to solve complex, real-world business or economic problems. The work environment can range from consulting firms to financial institutions or tech companies, offering a dynamic and intellectually stimulating setting with opportunities for continued learning and career growth.

What skills and qualifications are needed for a computer science economics?

To excel in a Computer Science Economics role, candidates typically need a strong background in both computer science fundamentals (such as programming, algorithms, and data structures) and economic theory, often evidenced by degrees in these or related fields. Familiarity with analytical tools like Python, R, SQL, and statistical modeling software, as well as experience with data visualization platforms, are commonly required. Strong communication, critical thinking, and problem-solving abilities enable effective collaboration across multidisciplinary teams. These skills and qualifications are crucial for leveraging computational techniques to analyze complex economic data and deliver actionable insights in technology-driven industries.

Is computer science and economics a good combination?

Computer Science Economics combines technical programming skills with economic analysis, making it valuable for roles in data analysis, financial modeling, and technology-driven economic research. Professionals in this field often use programming languages like Python or R and may pursue certifications in data science or economics to enhance their expertise.

What are the top 3 highest paying jobs in computer science?

In computer science, the highest paying roles typically include software engineering managers, data scientists, and solutions architects. These positions often require advanced technical skills, experience, and sometimes certifications, and they tend to offer salaries significantly above the industry average.

What can you do with a computer science and economics degree?

A computer science and economics degree prepares individuals for roles such as data analyst, financial analyst, software developer, or economic consultant. These roles often require skills in programming, data analysis, and understanding economic principles, and may involve working with tools like Python, R, or SQL in various industries including finance, technology, and consulting.

What are popular job titles related to Computer Science Economics jobs in Georgia?

For Computer Science Economics jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Computer Science Economics jobs in Georgia look for?

The top searched job categories for Computer Science Economics jobs in Georgia are:

What cities in Georgia are hiring for Computer Science Economics jobs?

Cities in Georgia with the most Computer Science Economics job openings:

Computer Science Economics jobs near you
Infographic showing various Computer Science Economics job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 12% Part Time, 7% Contract, and 3% Nights. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution.

VP of Data Science

Kaizen Analytix, LLC.

Atlanta, GA • On-site

$140 - $180/hr

Other

Re-posted 24 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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