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Economics Data Science Jobs in Virginia (NOW HIRING)

Fanniemae

Audit Data Science Advisor

Reston, VA

Master's degree in Data Science, Economics, Mathematics, Statistics, Computer Science, or a related field. * Advanced proficiency in Python and core data science and machine learning techniques.

Capital One

Senior Associate, Data Science

Mclean, VA · On-site

Senior Associate, Data Science Data is at the center of everything we do. As a startup, we ... A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics ...

Capital One

Senior Associate, Data Science

Mclean, VA · On-site

Senior Associate, Data Science Data is at the center of everything we do. As a startup, we ... A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics ...

Capital One

Senior Associate, Data Science

Mclean, VA · On-site

Senior Associate, Data Science Data is at the center of everything we do. As a startup, we ... A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics ...

Capital One

Senior Associate, Data Science

Mclean, VA · On-site

Senior Associate, Data Science Data is at the center of everything we do. As a startup, we ... A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics ...

Capital One

Senior Associate, Data Science

Mclean, VA · On-site

Senior Associate, Data Science Data is at the center of everything we do. As a startup, we ... A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics ...

NATO

Staff Officer (Data Science)

Norfolk, VA · On-site

University Degree in statistics, applied mathematics, computer science, economics, operations ... Python), for data processing, visualisation and machine and deep learning. Experience in ...

NATO

Staff Officer (Data Science)

Norfolk, VA

University Degree in statistics, applied mathematics, computer science, economics, operations ... Python), for data processing, visualisation and machine and deep learning. Experience in ...

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All JobsEconomics Data Science JobsEconomics Data Science Jobs in Virginia

Economics Data Science information

See Virginia salary details

$41.1K

$141.2K

$199.3K

How much do economics data science jobs pay per year?

As of Aug 29, 2026, the average yearly pay for economics data science in Virginia is $141,238.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,500.00 and $165,100.00 per year, depending on experience, location, and employer.

What is an economics data science?

An Economics Data Science job combines economic theory, statistical analysis, and machine learning to interpret complex data and inform decision-making. Professionals in this field work with large datasets to analyze market trends, forecast economic conditions, and optimize business strategies. They commonly use programming languages like Python or R and tools such as SQL and econometric models. This role is valuable in industries like finance, government, and tech, where data-driven economic insights are crucial.

What are common projects or responsibilities for professionals in economics data science roles?

Economics Data Science professionals often work on projects that involve economic modeling, market analysis, and forecasting trends using large datasets. Typical responsibilities include gathering and cleaning economic data, developing predictive models, conducting statistical analyses, and translating results into actionable recommendations for business strategy or policy decisions. You may collaborate closely with economists, business analysts, and decision-makers to inform company direction or solve complex real-world problems. This role often involves a mix of independent data exploration and teamwork, offering opportunities to drive impactful results and shape organizational strategy.

What are the key skills and qualifications needed to thrive in economics data science, and why are they important?

To thrive in Economics Data Science, you need a strong background in economics, statistics, and programming (especially Python or R), often backed by a degree in economics, data science, or a related field. Proficiency with data analysis tools such as SQL, machine learning frameworks, and visualization software like Tableau is commonly required, and certifications in data science or analytics are advantageous. Excellent problem-solving abilities, communication skills, and a collaborative mindset help distinguish top performers in this position. These skills are crucial for effectively analyzing economic data, generating actionable insights, and conveying complex findings to both technical and non-technical stakeholders.

What are the most commonly searched types of Economics Data Science jobs in Virginia?

The most popular types of Economics Data Science jobs in Virginia are:

What are popular job titles related to Economics Data Science jobs in Virginia?

For Economics Data Science jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Economics Data Science jobs in Virginia look for?

The top searched job categories for Economics Data Science jobs in Virginia are:

Economics Data Science jobs near you
Infographic showing various Economics Data Science job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $141,238 per year, or $67.9 per hour.

Data Science - Advisor / SME

Reston, VA • On-site

Technology Ventures
IT Services • 51 - 200 employees
Learn more about Technology Venturesexternal

Other

Posted 10 days ago

Job description

Job Title : Data Science - Advisor / SME
Location : 3 days onsite / week 1100 15th Street Northwest VA USA 20190 Duration : 6 Months Contract to start
Description:
  • The Finance - Data Science - Advisor role will offer you the flexibility to make each day your own, while working alongside people who care so that you can deliver on the following responsibilities:
  • Use advanced mathematical, analytical, or econometric tools to create algorithms and analyses that will be used to support the Multifamily CECL and DFAST/forecasting processes within the Finance organization.
  • Research and evaluate model results and perform credit-related analyses for both expected and stress scenarios including CECL/DFAST.
  • Coordinate team activities with product and/or business owners, data engineers, and platform teams to understand business needs and current capabilities, data availability, and alternative uses to drive success of parts of projects, programs, or products.
  • Ensure application of statistical modeling capabilities from disciplines, such as computer science, computational science and methods, statistics, econometrics, data optimization, and data visualization.
  • Build predictive analytic capabilities within the team to enhance the delivery of business applications, and support the integration of data and statistical models or algorithms.
  • Apply innovative industry practices in research and testing to product development, deployment, and maintenance.
  • Oversee the design and build of new modeling applications to support risk measurement, financial valuation, decision making, and business performance for parts of products or initiatives.
  • Ensure the team communicates complex ideas and solutions effectively to business partners through data visualizations, technical documentation, and non-technical presentation materials.
Minimum Required Experiences
Total 10 years and 6 years in Data Science
Desired Experiences
Bachelor degree or equivalent
A Master's degree or equivalent in Data Science, Applied Economics, Statistics, or other similar graduate studies
  • Familiarity with advanced techniques including machine learning and natural language processing (NLP)
  • Prior quantitative and finance training, including forecasting/stress testing (DFAST) knowledge.
  • Ability to direct and evaluate the more technical aspects of data analysis and research, while also managing team in a timely manner to focus on the broader context and key impacts of the analysis
  • Ability to build and maintain strong business relationships with partners
  • Strong written and verbal communication skills
  • Relationship management including managing and engaging stakeholders, partners, customers, and building relationship networks
  • Strong analytical and problem-solving skills to conduct and manage analysis to address complex business problems
  • Programming including coding, debugging, and using relevant languages such as Python, R, SQL, or similar
  • Experience in the process of analyzing data to identify trends or relationships to generate business insights and inform conclusions about the data
  • Expertise in visualizing data to identify, summarize and explain observed data patterns

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