ZipRecruiter

Log In

1

Phd In Econometrics Jobs in Washington (NOW HIRING)

ICF

Senior Economic Mobility Research Specialist

Reston, VA · On-site

$95K - $121K/yr

Advanced degree (PhD preferred) in political science, public policy, sociology, economics, or a related social science field * 20+ years of experience leading research, evaluation, and policy ...

Thinkbrg

Managing Consultant, Antitrust

Washington, DC · On-site

$11K - $170K/yr

Masters and/or a PhD in economics with specific expertise in the fields of industrial organization, applied microeconomics or econometrics; * You must have more than four (4+) years of experience in ...

Capital One

Principal Quantitative Modeler

Mclean, VA · On-site

$55.25 - $71.75/hr

A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) * At least 3 years of experience in each of the ...

previous page

Showing results 41-60

All JobsPhd In Econometrics JobsPhd In Econometrics Jobs in Washington

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 are popular job titles related to Phd In Econometrics jobs in Washington?

For Phd In Econometrics jobs in Washington, the most frequently searched job titles are:

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

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

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

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

Phd In Econometrics jobs near you

Quantitative Analyst SETA

Blue Sky Innovators

Arlington, VA • On-site

$195K - $300K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 11 days ago

Job description

Blue Sky Innovators is seeking a Quantitative Analyst SETA to join our team in Arlington, VA. The successful candidate will support DARPA program managers in the development, integration, and scaling of complex adaptive system modelling and data-intensive analytical capabilities. This role involves integrating complex, multi-source intelligence and commercial/open-source data streams into graph-based, network analytical frameworks to support strategic competition analysis, industrial base resilience, and national security decision-making.
Requirements:
  • Master's degree or PhD in Economics, Data Science, Applied Mathematics, or a related quantitative field.
  • 5+ years of relevant experience in quantitative economic modeling, advanced econometrics, and network data science/data engineering applied to complex adaptive systems.
  • Demonstrated experience in large-scale data processing, multi-source data pipeline integration, and managing structured/unstructured data architectures.
  • Practical experience with graph analytics, network modeling tools, and interconnected data architectures (e.g., Python/R quantitative libraries, graph databases, or network science frameworks).
  • Strong background working within or alongside the U.S. Intelligence Community (IC), including familiarity with IC mission environments, data workflows, and intelligence-derived datasets.
  • Understanding of diverse data sources across global economics, financial networks, trade flows, defense industrial supply chains, and multi-INT sources.
  • Strong communication skills-both written (including executive PowerPoint briefs) and oral-with the ability to translate complex econometric and data models for senior defense stakeholders.
  • Top Secret clearance with SCI eligibility.

Preferred:
  • Active Special Access Program (SAP) access and experience working at TS/SCI and SAP levels.
  • Experience with defense industrial base analysis, economic statecraft, strategic competition modeling, or macroeconomic resilience metrics.
  • Hands-on experience building decision-support tools, AI/ML-enabled analytical tools, cloud data engineering workflows, or large language model (LLM) research pipelines.
  • Prior background supporting new program start-ups, pilot demonstrations, and transition pathways within defense or intelligence organizations.
  • Experience in high paced private sector quantitative production environments such as systematic investing or trading, real time ad technology development or pharmacological optimization and customization.
  • Demonstrated ability to bridge communication and technical execution across academic economists, data engineers, software developers, and operational intelligence analysts.

Responsibilities:
  • Oversee the design, evaluation, and application of quantitative economic models, network analysis frameworks, and graph-based data integration architectures.
  • Oversee the integration of complex, multi-source intelligence and economic datasets into scalable, operational analytical pipelines.
  • Serve as primary technical liaison between academic researchers, software engineering teams, and IC stakeholders to ensure tools align with operational requirements.
  • Advise DARPA leadership on program execution risks, data architecture scalability, and capability transition strategy.
  • Prepare technical documentation, program roadmaps, and executive briefs to communicate program progress and analytical findings to senior decision-makers.

The salary range for this position is $195,000-$300,000, per year. Specific compensation will be determined by several factors including experience, education, skills, and knowledge. We also offer medical/dental/vision benefits and 401k contribution.
Blue Sky Innovators, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. If you are a qualified job seeker with a disability or a disabled veteran, you have the right to request an accommodation if you are unable or limited in your ability to use or access http://www.blueskyinnovators.com as a result of your disability. To request an accommodation, please email us at careers@blueskyinnovators.com and provide your name and contact information. Please note: this is only for job seekers with disabilities requesting an accommodation.

Apply