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Computer Science Economics Jobs in Washington (NOW HIRING)

Elder Research

Data Analyst

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 * Clearance ...

Elder Research

Data Analyst

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 * Clearance ...

Elder Research

Data Analyst

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 * Clearance ...

Elder Research

Senior Data Engineer

Arlington, VA · Hybrid

$121K - $165K/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 * 8+ years of ...

Elder Research

Senior Data Engineer

Arlington, VA · On-site

$122K - $165K/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 * 8+ years of ...

Elder Research

Senior Data Engineer

Arlington, VA · Hybrid

$122K - $165K/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 * 8+ 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

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 ...

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Computer Science Economics information

See Washington salary details

$12.5K

$111K

$181.8K

How much do computer science economics jobs pay per year?

As of Jul 8, 2026, the average yearly pay for computer science economics in Washington is $110,994.00, according to ZipRecruiter salary data. Most workers in this role earn between $24,900.00 and $181,200.00 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.

Is computer science dead due to AI?

Computer science remains a vital field for roles such as software developers, data scientists, and AI specialists. AI advances create new opportunities for innovation, requiring skills in programming, algorithms, and machine learning tools, ensuring continued demand for computer science expertise.

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.

What can you 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. Graduates can work in finance, technology, consulting, or research, often utilizing skills in programming, data analysis, and economic modeling.

What are 5 careers in economics?

Careers in economics include roles such as economic analyst, financial analyst, policy advisor, data scientist, and research economist. These positions often require strong analytical skills, proficiency with statistical tools, and a solid understanding of economic theories and models.

Is computer science useful for economics?

Computer science is highly useful for economics, as it provides tools for data analysis, modeling, and simulation that enhance economic research and decision-making. Skills in programming, algorithms, and data management are valuable for economists working with large datasets and complex models.
What are popular job titles related to Computer Science Economics jobs in Washington? For Computer Science Economics jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Computer Science Economics jobs in Washington look for? The top searched job categories for Computer Science Economics jobs in Washington are:
Computer Science Economics jobs near you
Infographic showing various Computer Science Economics job openings in Washington as of July 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 100% In-person job distribution, with an average salary of $110,994 per year, or $53.4 per hour.
Senior Data Scientist (Business Operations)

Senior Data Scientist (Business Operations)

QinetiQ US

Fort George G Meade, MD • On-site

Other

Posted 7 days ago

New

Job description

Company Overview
We are a world-class team of professionals who deliver next generation technology and products in robotic and autonomous platforms, ground, soldier, and maritime systems in 50+ locations world-wide. Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR).
QinetiQ US's dedicated experts in defense, aerospace, security, and related fields all work together to explore new ways of protecting the American Warfighter, Security Forces, and Allies. Being a part of QinetiQ US means being central to the safety and security of the world around us. Partnering with our customers, we help save lives; reduce risks to society; and maintain the global infrastructure on which we all depend.
Why Join QinetiQ US?
If you have the courage to take on a wide variety of complex challenges, then you will experience a unique working environment where innovative teams blend different perspectives, disciplines, and technologies to discover new ways of solving complex problems. In our diverse and inclusive environment, you can be authentic, feel valued, be respected, and realize your full potential. QinetiQ US will support you with workplace flexibility, a commitment to the health and well-being of you and your family and provide opportunities to work with a purpose. We are committed to supporting your success in both your professional and personal lives.
Position Overview
Join us in our support to the US Space Force (HQ USSF) Commercial Satellite Communication (COMSATCOM) Office (CSCO), where you will help shape the future of assured, resilient SATCOM for our warfighters and mission partners. As a key member of a highly collaborative, mission-focused team, you will apply your expertise to help deliver innovative commercial SATCOM capabilities, integrate a transformative COMSATCOM business model into the broader SATCOM enterprise, and translate complex operational needs into effective, affordable solutions. In this role, you will work directly with COMSATCOM customers and stakeholders, providing trusted guidance, insightful analysis, and clear recommendations that drive real-world impact in a rapidly evolving space domain. Job duties include:
Responsibilities
  • Collect, integrate, and validate COMSATCOM usage, inventory, operational, financial, and capability data from GFI, non-GFI, and other structured and unstructured data sources.
  • Develop and maintain predictive models, statistical analyses, and stochastic forecasting methodologies to assess current and future COMSATCOM demand, utilization, capacity, and operational risk.
  • Apply advanced analytical and AI/ML techniques - including regression, classification, clustering, anomaly detection, machine learning, deep learning, and generative AI methods - to identify trends, drivers, and decision-relevant insights.
  • Leverage DoD-approved AI and generative AI platforms, including genai.mil and equivalent NIPR/SIPR AI environments, to accelerate analytical workflows and support production of executive-ready analytic products; apply responsible AI principles including bias detection, model interpretability, and assumptions documentation.
  • Design and implement reproducible analytic workflows, data pipelines, and model validation processes to ensure transparency, traceability, and repeatability; partner with data engineers on pipeline operationalization and production deployment.
  • Translate complex operational and business questions into analytical models, simulations, and AI/ML-enabled decision-support tools for USSF CSCO leadership and mission partners.
  • Create executive-level visualizations, dashboards, and briefings that communicate complex technical and AI-generated findings to senior stakeholders in an understandable and actionable manner.
  • Maintain awareness of global, regional, and situational SATCOM trends and incorporate them into forecasts, scenario analyses, and strategic assessments.
  • Support analytic studies with COMSATCOM SMEs, including cost analyses, business case analyses, market research, commercial capability assessments, and courses of action comparisons.
  • Develop metrics, analytical frameworks, and model-based decision aids supporting planning, portfolio management, and leadership data calls with speed, accuracy, and traceability.
  • Provide technical leadership on data science best practices, AI governance, and model lifecycle management; respond to ad hoc analytic taskings from senior leadership with timely, defensible analyses.

Required Qualifications
  • Minimum of 8 years of experience in data science, data analytics, operations research, computer science, economics, engineering, mathematics, statistics, or a related quantitative field.
  • Bachelor's Degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Operations Research, Economics, or a related field.
  • Secret Clearance required. #qinetiqclearedjob
  • Demonstrated experience applying advanced statistical methods, predictive analytics, and machine learning techniques to real-world operational or business problems.
  • Demonstrated experience applying or integrating AI/ML tools, including generative AI or large language model (LLM) applications, in analytic or decision-support workflows.
  • Strong proficiency in Python, SQL, and data analysis libraries and tools used for data wrangling, modeling, and visualization.
  • Experience developing executive-level visualizations, dashboards, and analytic briefings for senior decision-makers.
  • Familiarity with responsible AI principles and model governance standards applicable to DoD or government program environments.
  • Strong analytical, problem-solving, and decision-making capabilities.
  • Excellent verbal and written communication skills, including the ability to explain technical and AI-generated findings to non-technical audiences.
  • Deadline-driven, organized, detail-oriented, and able to operate effectively in a fast-paced environment.
  • Ability to support on-site client meetings within the National Capital Region.

Preferred Qualifications
  • Master's Degree or higher in Data Science, Statistics, Mathematics, Computer Science, Operations Research, Engineering, or a related field.
  • Experience with DoD-approved AI and generative AI platforms, including genai.mil, or equivalent NIPR/SIPR AI environments.
  • Familiarity with large language model (LLM) applications, prompt engineering, and retrieval-augmented generation (RAG) techniques applied to government or defense analytic workflows.
  • Experience supporting USG, USSF, DoD, or other national security space programs in analytically intensive environments.
  • Familiarity with U.S. Government or DoD acquisition processes, analytic rigor standards, and mission-support decision frameworks.
  • Experience with Power BI, Tableau, or similar business intelligence and visualization platforms.
  • Experience with cloud-based data platforms (AWS GovCloud, Azure Government, Databricks) and ML/MLOps frameworks for model lifecycle management.

Pay Transparency
The salary range for this role is $135,000- $185,000 USD. The salary range provided is a good faith estimate representative of all experience levels. QinetiQ US considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.
Company EEO Statement
Accessibility/Accommodation:
If because of a medical condition or disability you need a reasonable accommodation for any part of the employment process, please send an e-mail to or call Opt. 1 and let us know the nature of your request and contact information.
QinetiQ US is an Equal Opportunity employer. All Qualified Applicants will receive equal consideration for employment without regard to race, age, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.

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