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Computer Science Economics Jobs in Georgia (NOW HIRING)

Qualifications : Required : • Bachelor's degree in a STEM field (e.g., Computer Science ... economics principles to workforce problems. • Experience in analytics product development ...

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 ...

Bachelor's Degree in Statistics, Mathematics, Economics, Econometrics, Computer Science or related quantitative discipline with experience is required * Familiarity with R, Python, SAS (or equivalent ...

Bachelor's Degree in Statistics, Mathematics, Economics, Econometrics, Computer Science or related quantitative discipline with experience is required * Familiarity with R, Python, SAS (or equivalent ...

Master's degree or higher in Mathematics, Statistics, Data Science, Physics, Computer Science, Operations Research, Economics, Engineering or related quantitative field, PhD preferred * 7-10 years of ...

... Computer Science, or Engineering, or equivalent education and related training 2. Exhibit ... econometrics, time-series, and primary statistical tests 3. Familiarity with linear algebra ...

... Computer Science, or Engineering, or equivalent education and related training 2. Exhibit ... econometrics, time-series, and primary statistical tests 3. Familiarity with linear algebra ...

... Computer Science, or Engineering, or equivalent education and related training 2. Exhibit ... econometrics, time-series, and primary statistical tests 3. Familiarity with linear algebra ...

... Computer Science, or Engineering, or equivalent education and related training 2. Exhibit ... econometrics, time-series, and primary statistical tests 3. Familiarity with linear algebra ...

... Computer Science, or Engineering, or equivalent education and related training 2. Exhibit ... econometrics, time-series, and primary statistical tests 3. Familiarity with linear algebra ...

Master's degree in Engineering (any), Economics, Computer Science, Mathematics, Business (any), or a related field of study AND Two (2) years of experience in the job offered or related occupation in ...

Master's degree in Engineering (any), Economics, Computer Science, Mathematics, Business (any), or a related field of study AND Two (2) years of experience in the job offered or related occupation in ...

... Computer Science, or Engineering, or equivalent education and related training 2. Exhibit ... econometrics, time-series, and primary statistical tests 3. Familiarity with linear algebra ...

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Computer Science Economics information

What are the typical responsibilities and daily activities for professionals in a Computer Science Economics role?

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 can I 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 financial modeling software.

What is a Computer Science Economics job?

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.

Is economics good for computer science?

For a computer science professional, understanding economics can enhance skills in areas like data analysis, algorithm design, and decision-making, especially in fields such as fintech, data science, and software development. Combining knowledge of economics with programming languages and tools like Python or R can improve problem-solving and market analysis capabilities.

What are the key skills and qualifications needed to thrive in the Computer Science Economics position, and why are they important?

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 professions make $200,000 a year without a degree?

In the field of computer science and economics, roles such as software engineers, data scientists, and cybersecurity specialists can reach or exceed $200,000 annually with relevant skills and experience, often without a formal degree. These positions typically require strong technical expertise, proficiency in programming languages, and industry certifications, and they may involve working in high-demand environments or consulting firms.

What jobs make $1,000,000 a year?

In the field of computer science and economics, high-paying roles such as chief technology officers, senior software architects, and successful startup founders can earn over $1 million annually, often through a combination of salary, bonuses, and equity. These positions typically require extensive experience, advanced skills in software development, management, or entrepreneurship, and often involve leadership in innovative or high-growth companies.
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:
Senior Director, Data and Analytics

Senior Director, Data and Analytics

Cajun Operating Company

Atlanta, GA

Full-time

Posted 13 days ago


Job description

Church's Texas Chicken

Employee Job Description

Job Title: Senior Director, Data and Analytics

Reports to: EVP, Chief Commercial Officer

Department: Marketing

Location: Restaurant Support Center- Atlanta, GA

Revised: June 2026

Job Summary:

The Sr. Director, Data and Analytics leads the data and analytics function at Church's Texas Chicken, converting transaction, guest, digital, and financial data into commercial intelligence that drives measurable P&L impact. An AI-forward analytics leader who builds and operationalizes a modern capability spanning rigorous statistical methods, machine learning, generative AI, and self-service tools - holding all AI-generated outputs to a standard of provable correctness before they inform commercial decisions. Reports to the EVP, Chief Commercial Officer. Partners closely with Marketing, Finance, Operations, and Franchise teams. Leads an analytics team and may coordinate external data science resources and agency partners.

Key Duties / Responsibilities

  • Lead executive and board-level analytics narratives - connecting transaction, guest, digital, and financial data into clear commercial stories - augmented by AI-generated signals that are validated and provably correct before reaching leadership.
  • Institutionalize A/B testing, causal inference, and AI-powered forecasting models that optimize promotions, media, digital, and loyalty programs; govern an experimentation platform with rigorous standards for test design and result interpretation.
  • Build and deploy machine learning and generative AI solutions - including predictive models, recommendation engines, and LLM-powered analytics tools - with validation frameworks that ensure outputs are accurate, reproducible, and auditable in production.
  • Design and deliver self-service dashboards, AI-assisted playbooks, and training that empower team members to answer 80% of business questions independently, with AI-generated recommendations clearly confidence-scored and traceable to underlying data.
  • Build enterprise data literacy - training commercial, marketing, and franchise teams to interpret AI outputs, recognize model limitations, and know when to escalate for deeper human analysis.
  • Serve as the primary analytics liaison to the CCO and commercial leadership, translating data and AI insights into "so-what / now-what" actions, aligning on KPIs, and communicating AI-generated recommendations with the confidence framing and validation evidence decision-makers need.
  • Partner with data engineering and technology teams to ensure the analytics data environment - data lake, semantic models, and AI feature stores - provides the clean, governed foundations that accurate analytics and provably correct AI require.
  • Coach, develop, and recruit top analytics talent; build a team culture of curiosity, intellectual honesty, and continuous improvement where validating AI outputs is as valued as generating them.

Position Requirements (Education, Qualifications, Experience)

  • Bachelor's in Statistics, Data Science, Computer Science, Economics, or related STEM field required; Master's/MBA preferred
  • 12+years progressive analytics experience in multiunit restaurants, retail, or hospitality. Proven record driving measurable P&L impact through analytics programs
  • 10+ years progressive marketing experience-ideally in multi-unit restaurants, retail, or franchise systems-with demonstrated ownership of local or regional marketing.
  • Expert in SQL and at least one scripting language (Python / R); handson experience with modern cloud data warehouses and BI tools. Familiarity with machinelearning frameworks and experimentation platforms
  • Executiveready storytelling, consultative mindset, crossfunctional influence, and the ability to simplify complexity for nontechnical audiences

Competencies

  • Strategic Thinking & Innovation: connects analytics vision to enterprise strategy; pilots new methods (GenAI, causal inference) and scales what works
  • Data Storytelling & Influence: crafts compelling narratives that drive action with senior stakeholders and franchisees
  • Operational Excellence: balances speed and rigor; hardwires insights into daily routines through automated reporting and alerts
  • People Leadership: builds highengagement teams
  • Critical Thinking: Separates signal from noise, prioritizes value, and frames recommendations decisively

Core Values & Behaviors:

  • Build a culture of ownership, accountability, teamwork, focus, discipline, professionalism, organizational stewardship, performance standards & rewards. Look for ways to improve ourselves and inspire others to do the same
  • High Level of Guest Service - Internal & External - Show we care
  • Accountability & Ownership
  • Emotional maturity to "get it right" vs. "be right." Keeps our commitments and acts with integrity.
  • Willingness to serve the organization, its employees and guests, celebrates differences, respect all cultures and works together
  • Self-Awareness of our leadership style and impact to others. 'We' versus 'Me' perspective
  • Adaptability to needs of situation, nimble and flexible. Action oriented.

Physical Requirements

  • Employees must be able to perform the essential functions of the position with or without reasonable accommodation
  • Ability to travel up to 20% of the time

1. If you're hungry for a career that's fun, fast-paced and loaded with opportunity, then you've come to the right place. At Church's, we're not your typical quick service restaurant. We make real comfort food that makes a difference in peoples' lives. And for over 60 years, our restaurant has been a place where hard-working people can get ahead and go on to do amazing things by serving others.

2. Church's Chicken is an equal employment opportunity employer and makes hiring and employment decisions without regard to race, color, religion sex, national origin, age, disability, genetic information or any other factor prohibited by applicable law.