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

... Computer Science, or Engineering, or equivalent education and related training * Exhibit ... statistics, probability theory, econometrics, time-series, and primary statistical tests

Master's degree in Business Analytics, Statistics, Computer Science, or Statistics/Math and Economics double major, or Statistics/Math and Computer Science double major or Statistics/Math and ...

Data Scientist

Alpharetta, GA · On-site

$95.30 - $158.80/hr

Developing, analyzing, and modeling operational, economic, management, accounting and other ... Bachelor's degree in Mathematics, Statistics, Computer Science, Data Science, or other quantitative ...

Developing, analyzing, and modeling operational, economic, management, accounting and other ... Bachelor's degree in Mathematics, Statistics, Computer Science, Data Science, or other quantitative ...

Developing, analyzing, and modeling operational, economic, management, accounting and other ... Bachelor's degree in Mathematics, Statistics, Computer Science, Data Science, or other quantitative ...

Developing, analyzing, and modeling operational, economic, management, accounting and other ... Bachelor's degree in Mathematics, Statistics, Computer Science, Data Science, or other quantitative ...

Developing, analyzing, and modeling operational, economic, management, accounting and other ... Bachelor's degree in Mathematics, Statistics, Computer Science, Data Science, or other quantitative ...

Standardize business cases and ROI narratives (unit economics, cost-to-serve, TCO, run vs. change ... Master's degree (MS/MA) in Computer Science desired. * 10 years in technical product management ...

Lead AI and Data Science Engineer II

Atlanta, GA · On-site

$98K - $129K/yr

Graduate degree in Applied Statistics, Computer Science, Life Sciences, Industrial-Organizational Psychology, Organizational Behavior, Sociology, Economics, Anthropology, or another quantitative ...

Showing results 41-60

Computer Science Economics information

See Atlanta, GA salary details

$10.6K

$94.2K

$154.3K

How much do computer science economics jobs pay per year?

As of Aug 15, 2026, the average yearly pay for computer science economics in Atlanta, GA is $94,242.00, according to ZipRecruiter salary data. Most workers in this role earn between $21,200.00 and $153,900.00 per year, depending on experience, location, and employer.

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 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 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.

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. Graduates can work in finance, technology, consulting, or research, often utilizing skills in programming, data analysis, and economic modeling.

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 tech-driven economic research. This interdisciplinary background can enhance job prospects in finance, consulting, and technology sectors that rely on data-driven decision making.

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

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

Infographic showing various Computer Science Economics job openings in Atlanta, GA as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 78% Full Time, 14% Part Time, 5% Contract, and 1% Nights. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $94,242 per year, or $45.3 per hour.

Data Scientist I - Card Fraud

Truist

Atlanta, GA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago


Truist rating

8.0

Company rating: 8.0 out of 10

Based on 119 frontline employees who took The Breakroom Quiz

71st of 171 rated banks


Job description

The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status.
Need Help?
If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response).
Regular or Temporary:
Regular
Language Fluency: English (Required)
Work Shift:
1st shift (United States of America)
Please review the following job description:
Perform sophisticated analytics (statistical and predictive analytics, machine learning modeling, etc.) to provide actionable insights that improve business We are seeking Data Scientist I to support card fraud and token provisioning initiatives, with a focus on digital payment security across mobile and digital wallet platforms (e.g., Apple Pay, Google Pay, Samsung Pay, and merchant tokenization). This role will contribute to detecting, analyzing, and mitigating fraud risk while supporting secure transaction experiences.
The ideal candidate will bring experience in card fraud, digital fraud, or related risk domains, along with strong technical skills in SAS, SQL, and programming for data analysis and modeling. Exposure to tokenization or digital wallet technologies is preferred but not required.
For this opportunity, Truist will not sponsor an applicant for work visa status or employment authorization, nor will we offer any immigration-related support for this position (including, but not limited to H-1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN-1 or TN-2, E-3, O-1, or future sponsorship for U.S. lawful permanent residence status.)
Essential Duties and Responsibilities:
Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.
  • Independently perform sophisticated data analytics (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data.
  • Produce compelling data visualizations to communicate insights and influence outcomes among a wide array of stakeholders.
  • Take accountability and ownership of end-to-end data science solution design, technical delivery, and measurable business outcome.
  • Engage in stakeholder meetings to identify business objectives and scope solution requirements.
  • With minimal guidance, write, document, and deploy custom code in a variety of environments (Python, SAS, R, etc.) to create predictive analytics applications.
  • Use, maintain, share and collaborate through Truist internal code repositories to foster continual learning and cross-pollination of skillsets.
  • Actively research and advocate adoption of emerging methods and technologies in the data science field, with the eye of continually advancing Truist's capabilities.
  • Exercise sound judgment and fosters risk management culture throughout design, development, and deployment practices; partner with cross-functional teams to coordinate rules on data usage, data governance and analytics capabilities.

Required Qualifications:
The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
  • Bachelor's degree and zero to four or more years of experience in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering, or equivalent education and related training
  • Exhibit understanding of statistical methods, including a broad understanding of classical statistics, probability theory, econometrics, time-series, and primary statistical tests
  • Familiarity with linear algebra concepts for optimization, complex matrix operations, eigenvalue decompositions, and principal components; working knowledge of calculus/differential equations, with understanding of stochastic processes
  • Demonstrate understanding of data cleansing and preparation methodologies, including regex, filtering, indexing, interpolation, and outlier treatment
  • Strong familiarity with data extraction in a variety of environments (SQL, JQuery, etc.)
  • Working knowledge of Hadoop, Pig, Hive, and/or NoSQL, Spark
  • Experience in managing multiple projects with tight deadlines in a collaborative environment

Preferred Qualifications:
  • Master's degree or PhD in quantitative fields such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering
  • Four years of relevant work experience if candidate lacks graduate degree
  • Previous experience in the banking or fin-tech industry

The annual base salary for this position is $$80,000 - $100,000
General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist's generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist's defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work.
Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace.
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About Truist

Sourced by ZipRecruiter

Truist is combining distinctive personal service with investments in innovation to create transformational client experiences. We believe the unique blend of human touch and innovative technology will set us apart, instill confidence, and build deeper levels of trust with our clients

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

Year founded

2019