1

Phd In Econometrics Jobs in Georgia (NOW HIRING)

PhD in physics and an active record of independent research within a specialized subfield (e.g., High Energy/Mathematical Physics, Biophysics/Statistical Physics, Condensed Matter, AMO/Quantum Optics ...

PhD in physics and an active record of independent research within a specialized subfield (e.g., High Energy/Mathematical Physics, Biophysics/Statistical Physics, Condensed Matter, AMO/Quantum Optics ...

Qualifications * 4+ years of industry experience with AI science * BS, MS or PhD in Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent * 4+ years of hands-on ...

Qualifications * 6+ years of industry experience with AI science * BS, MS or PhD in Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent * 4+ years of hands-on ...

Qualifications * 4+ years of industry experience with AI science * BS, MS or PhD in Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent * 4+ years of hands-on ...

Qualifications * 4+ years of industry experience with AI science * BS, MS or PhD in Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent * 4+ years of hands-on ...

Qualifications * 6+ years of industry experience with AI science * BS, MS or PhD in Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent * 4+ years of hands-on ...

Qualifications * 6+ years of industry experience with AI science * BS, MS or PhD in Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent * 4+ years of hands-on ...

Senior Manager, Analytics

Atlanta, GA · On-site

$112.29 - $153.60/hr

Advanced degree (Master's/PhD) in Statistics, Economics or other quantitative discipline * Automotive industry marketing experience/knowledge * Experience mentoring or managing direct report(s)

Independently perform sophisticated data analytics (ranging from classical econometrics to machine ... Master's degree or PhD in quantitative fields such as Finance, Mathematics, Analytics, Data Science ...

Independently perform sophisticated data analytics (ranging from classical econometrics to machine ... Master's degree or PhD in quantitative fields such as Finance, Mathematics, Analytics, Data Science ...

Showing results 41-60

Phd In Econometrics information

What is a PhD in Econometrics?

A PhD in Econometrics is an advanced academic degree focused on the application of statistical and mathematical methods to economic data. It prepares students to conduct original research, develop new econometric models, and analyze complex economic problems using quantitative techniques. Graduates often pursue careers in academia, research institutions, government agencies, or the private sector, where advanced data analysis and economic modeling skills are in high demand.

What are some common career paths for someone with a PhD in Econometrics?

With a PhD in Econometrics, graduates often pursue careers in academia as professors or researchers, but there are also numerous opportunities in the private and public sectors. Many work as quantitative analysts, data scientists, or policy advisors in financial institutions, government agencies, international organizations, or consulting firms. The advanced analytical and statistical skills developed during the PhD are highly valued in roles that involve complex data analysis, economic modeling, and policy evaluation. Collaboration with interdisciplinary teams, including economists, data engineers, and policymakers, is common, providing a dynamic work environment and pathways for professional growth.

What are the key skills and qualifications needed to thrive as a PhD in Econometrics, and why are they important?

To thrive as a PhD in Econometrics, you need advanced expertise in statistical theory, econometric modeling, and data analysis, typically supported by a doctoral degree in economics or a related field. Proficiency in statistical software such as Stata, R, Python, or SAS, as well as experience with large datasets and econometric methodologies, is essential. Strong analytical thinking, problem-solving abilities, and effective communication skills help you convey complex findings to diverse audiences. These skills are crucial for producing rigorous research, informing policy, and contributing valuable insights in academic, governmental, or industry settings.

How much does a PhD in Econometrics make?

A PhD in Econometrics typically earns a salary ranging from $80,000 to over $150,000 annually, depending on the industry, location, and experience. Econometricians working in finance, consulting, or academia often have higher earning potential, especially with strong quantitative and programming skills.

Is a PhD in econometrics worth it?

A PhD in econometrics prepares individuals for advanced research, academic positions, and data analysis roles in finance, government, and consulting. It typically involves rigorous coursework and research, leading to higher-level job opportunities and increased earning potential, but requires significant time and effort investment. The value depends on career goals and the demand for specialized quantitative skills.

What can I do with a PhD in econometrics?

A PhD in econometrics prepares individuals for research, analysis, and data-driven roles in academia, government agencies, financial institutions, and consulting firms. Graduates often work as economic analysts, quantitative researchers, policy advisors, or data scientists, utilizing statistical software and advanced modeling techniques. These roles require strong analytical skills and knowledge of econometric methods to inform decision-making and policy development.

What job categories do people searching Phd In Econometrics jobs in Georgia look for?

The top searched job categories for Phd In Econometrics jobs in Georgia are:

What cities in Georgia are hiring for Phd In Econometrics jobs?

Cities in Georgia with the most Phd In Econometrics job openings:

Senior Scientific Reviewer - Physics

micro1 AI

Augusta, GA • On-site, Remote

$80 - $150/hr

Part-time

Posted 20 days ago


Job description

Role Title: Physics Expert (Postdoc / Junior professor)


Role Type: Contractor


Location: Remote (US, Canada, UK focused)


micro1 is engaging Physics Experts (Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the science and technology sector. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Critically evaluate and review physics solutions, mathematical derivations, and theoretical arguments generated by researchers or AI platforms.
  2. Detect errors, unjustified steps, missing assumptions, dimensional inconsistencies, and weaknesses in logic or methodology.
  3. Delineate between substantive scientific issues and stylistic or cosmetic matters, providing technically precise written feedback.
  4. Articulate and document the reasoning behind any identified flaws, ensuring actionable guidance for improvement.
  5. Recognize when correct reasoning can be optimized, and offer suggestions to sharpen or clarify the argument.
  6. Utilize LaTeX, SymPy, Python, and Jupyter to independently verify or counter-check scientific claims as appropriate.
  7. Deliver structured feedback designed to support iterative enhancement of submitted work and project outcomes.


Preferred Qualifications

  1. PhD in physics and an active record of independent research within a specialized subfield (e.g., High Energy/Mathematical Physics, Biophysics/Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation/Cosmology, Quantum Information, or Optical Materials).
  2. Experience as a postdoctoral researcher, research fellow, junior/assistant professor, or senior research scientist.
  3. Recent (last ~5 years) representative publications in the relevant subfield, with arXiv or DOI links.
  4. Advanced proficiency with LaTeX, SymPy, Python, and Jupyter for theoretical modeling and computational validation.
  5. Demonstrated skill in reviewing the work of others—through peer review, supervision, dissertation committees, or group seminars.
  6. Exceptional written communication skills with the ability to convey nuanced, constructive feedback with technical rigor.
  7. Reliable access to high-speed internet and a computer suitable for rigorous technical work.