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Computer Science Economics Jobs in Virginia (NOW HIRING)

Elder Research

Senior AI/ML Lead

Arlington, VA · On-site

Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, data engineering, business, or social sciences * 3+ years of ...

Elder Research

Senior AI/ML Lead

Arlington, VA · Hybrid

Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, data engineering, business, or social sciences * 3+ years of ...

Elder Research

Senior AI/ML Lead

Arlington, VA · Hybrid

Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, data engineering, business, or social sciences * 3+ years of ...

Elder Research

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, data engineering, business, or social sciences * Design, build ...

Elder Research

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, data engineering, business, or social sciences * Design, build ...

Elder Research

Data Engineer

Arlington, VA

$131K - $158K/yr

Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, data engineering, business, or social sciences * Design, build ...

ECS

Data Scientist

Springfield, VA · On-site

A Bachelor's Degree in Data Science, Math, Finance, Statistics, Information Management, Computer Science, Engineering, Economics or an equivalent field * 5+ years of working experience in one of the ...

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Showing results 1-20

All JobsComputer Science Economics JobsComputer Science Economics Jobs in Virginia

Computer Science Economics information

See Virginia salary details

$10.9K

$97.2K

$159.1K

How much do computer science economics jobs pay per year?

As of Jun 9, 2026, the average yearly pay for computer science economics in Virginia is $97,159.00, according to ZipRecruiter salary data. Most workers in this role earn between $21,800.00 and $158,600.00 per year, depending on experience, location, and employer.

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 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.

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.

Can I make 200k with a computer science degree?

Computer Science professionals can potentially earn $200,000 or more annually, especially in high-demand roles such as software engineering, data science, or machine learning, often in tech hubs or with extensive experience and advanced skills. Achieving this salary typically requires several years of experience, specialized knowledge, and sometimes advanced certifications or advanced degrees.
What are popular job titles related to Computer Science Economics jobs in Virginia? For Computer Science Economics jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Computer Science Economics jobs in Virginia look for? The top searched job categories for Computer Science Economics jobs in Virginia are:
Computer Science Economics jobs near you
Fraud Analytics Subject Matter Expert

Fraud Analytics Subject Matter Expert

Elder Research

Arlington, VA • Hybrid

Full-time

Posted 20 days ago

Job description

Fraud Analytics Subject Matter Expert

General Information

Requisition # 684

Locations USA-VA-Arlington

Posting Date 03/20/2026

Security Clearance Required - ACTIVE IRS MBI

Remote Type Hybrid

Time Type Full time

Description & Requirements

Elder Research Inc., a wholly owned subsidiary of MANTECH international Corporation seeks a motivated, career and customer-oriented Fraud Analytics Subject Matter Expert to join our team in Arlington, VA. This is a hybrid position with several days onsite over the course of a month.

We are seeking a Fraud Analytics Subject Matter Expert (SME) to provide deep domain expertise supporting fraud detection and identity theft analytics initiatives. This role guides analytical development, validates analytical outputs, and ensures models and analytical results accurately reflect real-world fraud behaviors and operational realities.

The ideal candidate brings extensive experience analyzing fraud patterns and supporting operational fraud detection programs within government or financial institutions.

Responsibilities include but are not limited to:

  • Provide domain expertise in fraud detection, identity theft, and financial crime analytics.
  • Guide analytical teams in identifying fraud schemes, patterns, and emerging threats.
  • Validate analytical outputs through return-level or case-level analysis.
  • Assist in interpreting model results and analytical findings.
  • Support collaborative reviews, stakeholder briefings, and operational discussions.
  • Help refine analytical approaches based on evolving fraud behaviors and operational insights.
  • Contribute to documentation of fraud patterns, analytical logic, and investigative insights.

Minimum Qualifications:

  • Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, data engineering, business, or social sciences
  • 5+ years of experience in fraud analytics, identity theft analysis, financial crime analytics, or compliance program support.
  • Deep understanding of fraud schemes, filing behaviors, and investigative treatment processes
  • Experience validating analytical outputs through case-level or transaction-level review.
  • Demonstrated experience supporting fraud analytics within a federal agency, financial institution, or similarly regulated environment.
  • Strong knowledge of fraud detection, anomaly detection, risk scoring, and network analysis techniques.
  • Experience working with large financial or tax datasets in enterprise analytical environments.
  • Familiarity with analytical tools including SQL, Python, and enterprise analytics platforms.

Preferred Qualifications:

  • Advanced degree (MS) in analytics, computer science, data science, mathematics, statistics, engineering, management information systems, decision science, or related fields
  • Working knowledge of federal tax forms, filing processes, information returns, refund issuance workflows, and identity theft treatments.
  • Ability to translate analytical findings into insights useful for operational fraud programs.

Clearance Requirements:

  • Must currently possess an IRS Public Trust clearance with Full Background Investigation

Physical Requirements:

  • Must be able to remain in a stationary position 50%
  • Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.
  • Frequently communicates with co-workers, management, and customers, which may involve delivering presentations.
  • Must be able to exchange accurate information in these situations

About Elder Research, Inc - People Centered. Data Driven

Elder Research considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.

If you need a reasonable accommodation to apply for a position with Elder Research, please email us at careers@elderresearch.com and provide your name and contact information.

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