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Computer Science Economics Jobs in Georgia (NOW HIRING)

Bachelor's degree in a quantitative or technical field (e.g., Statistics, Computer Science, Economics, Mathematics) or equivalent practical experience. * 5+ years of experience in product analytics ...

Bachelor's degree in a quantitative or technical field (e.g., Statistics, Computer Science, Economics, Mathematics) or equivalent practical experience. * 5+ years of experience in product analytics ...

Develop, analyze and model operational, economic, management, accounting and other organizational ... Computer Engineering, Computer Science, Software Engineering, Supply Chain Management/Logistics ...

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Develop, analyze and model operational, economic, management, accounting and other organizational ... Computer Engineering, Computer Science, Software Engineering, Supply Chain Management/Logistics ...

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Develop, analyze and model operational, economic, management, accounting and other organizational ... Computer Engineering, Computer Science, Software Engineering, Supply Chain Management/Logistics ...

New

Develop, analyze and model operational, economic, management, accounting and other organizational ... Computer Engineering, Computer Science, Software Engineering, Supply Chain Management/Logistics ...

New

Develop, analyze and model operational, economic, management, accounting and other organizational ... Computer Engineering, Computer Science, Software Engineering, Supply Chain Management/Logistics ...

New

Develop, analyze and model operational, economic, management, accounting and other organizational ... Computer Engineering, Computer Science, Software Engineering, Supply Chain Management/Logistics ...

New

Showing results 41-60

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 cities in Georgia are hiring for Computer Science Economics jobs?

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

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.

Senior Data Steward, Investments Data Office

1110 Invesco Group Services, INC.

Atlanta, GA โ€ข On-site

$110 - $140/hr

Other

Medical, Retirement, PTO

Posted 14 days ago


Job description

About Invesco As one of the world's leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco.

Whatโ€™s in it for you? Our people are at the very core of our success. Invesco employees get more out of life through our comprehensive compensation and benefit offerings including:

  • Flexible paid time off
  • Hybrid work schedule
  • 401(K) matching of 100% up to the first 6% with a discretionary supplemental contribution
  • Health & wellbeing benefits
  • Parental Leave benefits
  • Employee stock purchase plan
Job Description

The Sr Data Stewardship is a hands-on individual contributor responsible for supporting data quality, stewardship execution, and operational readiness across assigned master data domains. This role combines data management expertise, practical analytical skills, master data management knowledge, and strong stakeholder partnership to help ensure critical business information is trusted, controlled, and usable across the enterprise.

The Sr. Data Steward will partner closely with Data Product Owners, Data Governance, technology teams, data architects, Data Stewards, and business stakeholders to define data requirements, monitor quality, resolve issues, strengthen controls, and improve stewardship processes. The role requires the ability to work through ambiguity, translate business needs into actionable data and process requirements, and deliver measurable improvements in data quality and operational performance.

You will be responsible for:
  • Support day-to-day stewardship activities across assigned master data domains, ensuring data is accurate, trusted, available, and fit for purpose.
  • Partner with Data Product Owners, Data Governance, business stakeholders, data architects, and technology teams to define priorities, requirements, data quality rules, SLAs, and remediation workflows.
  • Define, standardize, measure, and monitor data quality metrics; develop reporting and dashboards that provide visibility into data quality health and issue resolution.
  • Identify and maintain Critical Data Elements, data definitions, metadata, data dictionaries, and field-level guidance for assigned domains.
  • Perform data profiling, data cleansing, data mapping, trend analysis, root cause analysis, issue triage, and remediation activities.
  • Research and resolve complex data issues by applying knowledge of data, systems, business processes, and controls.
  • Support master data management implementation and improvement activities, including workflow design, data quality rule definition, data model input, integration support, and system issue resolution.
  • Use SQL, Excel, and other analytical tools to build queries, analyze data, identify trends, and provide actionable insights to stakeholders.
  • Recommend process and technology improvements that increase efficiency, accuracy, automation, and control.
The experience you bring:
  • 5โ€“7 years of relevant experience in data management, data stewardship, master data management, data governance, business analysis, data quality, or related data disciplines.
  • Strong understanding of master data management, data stewardship, data quality management, data governance, metadata, and data lifecycle practices.
  • Experience with data management systems, MDM platforms, data quality tools, workflow tools, metadata repositories, or enterprise data platforms.
  • Strong preference for experience with Markit EDM / Opus EDM platforms.
  • Strong SQL and Excel skills; experience with Python, Alteryx, VBA, Power BI, or similar tools is a plus.
  • Ability to understand data models, data integrations, workflows, and data quality rules, and to partner effectively with technology teams.
  • Strong analytical, problem-solving, written, and verbal communication skills, with the ability to explain technical concepts to business stakeholders.
  • Ability to work independently, manage multiple priorities, make sound decisions within defined policies, and operate effectively through ambiguity.
  • Demonstrated ability to build relationships and collaborate across business, technology, governance, and operations teams.
  • Bachelorโ€™s degree in Business Administration, Computer Science, Data Science, Information Science, Economics, Accounting, Engineering, Information Technology, or a related field.
Nice to haves:
  • Financial services, asset management, or investment data experience.
  • Experience with MDM platforms such as Informatica MDM, Markit EDM, or similar tools.
  • Experience building or maturing a data stewardship, data governance, or MDM practice.

Full Time / Part Time Full time Worker Type Employee Job Exempt (Yes / No) Yes

Workplace Model Pursuant to Invesco's Workplace Policy, employees are expected to comply with the firm's most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in an Invesco office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other's growth and development.

The above information on this description has been designed to indicate the general nature and level of work performed by employees within this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The job holder may be required to perform other duties as deemed appropriate by their manager from time to time.

Invesco's culture of inclusivity and its commitment to diversity in the workplace are demonstrated through our people practices. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender, gender identity, sexual orientation, marital status, national origin, citizenship status, disability, age, or veteran status. Our equal opportunity employment efforts comply with all applicable U.S. state and federal laws governing non-discrimination in employment.

As one of the world's leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco.

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