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Part Time Operations Research Jobs in Virginia (NOW HIRING)

Economist

Arlington, VA ยท On-site

$74K/yr

... operations research analysis and models to perform difficult and complex assignments. GS-13 ... PART-TIME OR UNPAID EXPERIENCE: Credit will be given for appropriate unpaid and or part-time work.

Economist

Arlington, VA ยท On-site

$74K/yr

... operations research analysis and models to perform difficult and complex assignments. GS-13 ... PART-TIME OR UNPAID EXPERIENCE: Credit will be given for appropriate unpaid and or part-time work.

Economist

Dahlgren, VA ยท On-site

$74K/yr

... operations research analysis and models to perform difficult and complex assignments. GS-13 ... PART-TIME OR UNPAID EXPERIENCE: Credit will be given for appropriate unpaid and or part-time work.

Economist

Fort Eustis, VA ยท On-site

$74K/yr

... operations research analysis and models to perform difficult and complex assignments. GS-13 ... PART-TIME OR UNPAID EXPERIENCE: Credit will be given for appropriate unpaid and or part-time work.

$74K/yr

... operations research analysis and models to perform difficult and complex assignments. GS-13 ... PART-TIME OR UNPAID EXPERIENCE: Credit will be given for appropriate unpaid and or part-time work.

$74K/yr

... operations research analysis and models to perform difficult and complex assignments. GS-13 ... PART-TIME OR UNPAID EXPERIENCE: Credit will be given for appropriate unpaid and or part-time work.

Economist

Dahlgren, VA ยท On-site

$74K/yr

... operations research analysis and models to perform difficult and complex assignments. GS-13 ... PART-TIME OR UNPAID EXPERIENCE: Credit will be given for appropriate unpaid and or part-time work.

$56K/yr

BASIC REQUIREMENT A bachelor's degree in operations research; or at least 24 semester hours in a ... PART-TIME OR UNPAID EXPERIENCE: Credit will be given for appropriate unpaid and or part-time work.

Showing results 21-40

Part Time Operations Research information

What is a part time operations research job?

Part-time operations research jobs involve using mathematical modeling, statistical analysis, and optimization techniques to help organizations solve complex problems, but on a reduced or flexible work schedule. These roles typically support projects in areas like logistics, supply chain management, or business analytics, while allowing professionals to work fewer hours than a standard full-time position. Part-time operations research analysts may work for consulting firms, government agencies, or private companies, and their tasks can include data analysis, creating simulation models, and preparing reports for decision-makers.

What are the key skills and qualifications needed to thrive as a part time operations research analyst?

To excel as a Part Time Operations Research Analyst, strong analytical skills, mathematical proficiency, and a relevant degree in operations research, mathematics, or a related field are essential. Familiarity with data analysis tools such as Excel, Python, R, and optimization software like MATLAB or Gurobi is typically required. Attention to detail, problem-solving abilities, and effective communication make candidates stand out in this role. These skills ensure accurate modeling, data-driven decision-making, and clear presentation of findings to support organizational objectives.

What are some common challenges faced by part time operations research professionals, and how can they be addressed?

Part-time operations research professionals often face challenges such as limited time for deep analytical work and coordinating with full-time team members who may have different schedules. To address these challenges, it's important to maintain clear communication, set realistic project timelines, and leverage collaborative tools for data sharing and feedback. Additionally, focusing on high-impact tasks and proactively seeking updates from the team can help ensure that part-time contributions remain valuable and integrated into larger projects.

What is the difference between Part Time Operations Research vs Part Time Data Analyst?

AspectPart Time Operations ResearchPart Time Data Analyst
Required CredentialsBachelor's in Operations Research, Industrial Engineering, or related fieldBachelor's in Statistics, Data Science, or related field
Work EnvironmentResearch teams, consulting firms, or corporate planning departmentsBusiness, finance, or marketing departments in various industries
Employer & Industry UsageUsed in logistics, manufacturing, and supply chain managementUsed across finance, marketing, and healthcare sectors
Common Search & ComparisonYesYes

Part Time Operations Research focuses on optimizing complex systems and decision-making processes, often requiring specialized analytical skills. In contrast, Part Time Data Analysts primarily interpret data to support business decisions. While both roles involve data analysis, Operations Research emphasizes modeling and simulation, whereas Data Analysts focus on data visualization and reporting. Understanding these differences helps job seekers identify the best fit for their skills and career goals.

What are the most commonly searched types of Operations Research jobs in Virginia?

The most popular types of Operations Research jobs in Virginia are:

What are popular job titles related to Part Time Operations Research jobs in Virginia?

For Part Time Operations Research jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Part Time Operations Research jobs in Virginia look for?

The top searched job categories for Part Time Operations Research jobs in Virginia are:

Infographic showing various Part Time Operations Research job openings in Virginia as of August 2026, with employment types broken down into 83% Full Time, 14% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution.

Adjunct Research Analyst - Cost Analyst

Institute for Defense Analyses (IDA)

Alexandria, VA โ€ข On-site

Part-time

Posted 9 days ago


Job description

Overview
The Institute for Defense Analyses (IDA) is a Federally-Funded Research and Development Center supporting the Department of War (DOW) and other federal agencies. IDA's mission is to provide objective analyses of national security issues and related national challenges, particularly those requiring extraordinary scientific and technical expertise. IDA takes great pride in the high caliber and timeliness of its analyses, which are produced in an atmosphere that encourages collaboration, independent thinking, and objective results.
An opportunity now exists in the Cost Analysis and Research Division (CARD) for an Adjunct Research Staff Member - Cost Analyst. CARD produces independent cost estimates, affordability assessments, and schedule-risk analyses that inform resource allocation and acquisition decisions across the DOW and other federal agencies. The division's portfolio spans Major Defense Acquisition Programs and other government programs across the air, space, land, maritime, command and control, communications and intelligence (C3I), nuclear enterprise, software and information technology, health care, and sustainment domains, as well as cross-cutting policy and resourcing questions.
This is a broadly scoped part-time role. The analyst is not assigned to a single platform or portfolio; in a given year an analyst may support several unrelated programs, and the ability to learn a new system and its cost drivers quickly matters more than prior familiarity with any one of them.
Work at IDA is conducted in a team environment and often involves a multi-disciplinary approach. Researchers work closely with and are in frequent contact with government sponsors. Consequently, strong communication and interpersonal skills will be greatly valued.


Responsibilities:
Develops cost estimates and cost element structures for defense programs, working in close coordination with technical project leaders
Collects, normalizes, and validates cost, schedule, technical, and programmatic data from government and contractor sources
Builds, documents, and maintains cost models using parametric, analogy, extrapolation-from-actuals, and engineering build-up methods as warranted
Conducts cost-risk, uncertainty, and sensitivity analyses, and examines affordability under alternative assumptions and funding profiles
Assesses the reasonableness of government and contractor cost estimates, including underlying assumptions, methodologies, and data sources
Applies the same analytic toolkit across a varied portfolio of programs, adapting methods to the maturity, data availability, and technical character of each
Documents methods, data lineage, and results so that estimates are transparent, reproducible, and defensible to reviewers and sponsors
Drafts sections of briefings and reports documenting conclusions, findings, and recommendations; presents results to project leaders and, with support, to task sponsors
Contributes to improvements in the division's analytical methods, models, data collections, and tooling
Supports multiple concurrent tasks and meets sponsor deadlines
Mentors and trains junior cost analysts
Minimum Job Qualifications:

Education/Experience: Ph.D. in Operations Research, Economics, Statistics, Engineering, Applied Mathematics, Physics, Materials Science, Finance, or a related quantitative field; OR a Master's degree in one of those fields with 10+ years of relevant experience.
Knowledge/Skills/Abilities:
Demonstrated record of conducting or leading cost estimates, resource allocation studies, or comparable quantitative analyses for major government acquisition programs or complex systems
Depth in more than one estimating method, including demonstrated fluency with parametric cost estimation, and the judgment to select among methods and defend that choice under review
Experience with cost-risk and uncertainty analysis and its use in supporting decisions
Demonstrated leadership and execution of analysis projects, including responsibility for the quality and defensibility of others' work
Ability to work independently with minimal supervision in an unstructured environment
Excellent interpersonal as well as written and oral communication skills, including the ability to brief senior government audiences and defend findings to technically expert reviewers
Proven innovative thinking and problem-solving abilities
Ability to interact professionally with government and industry representatives
Travel may be required
U.S. citizenship is required
Ability to obtain and maintain a U.S. government security clearance is required

Preferred Qualifications
The following are valued but not required. Candidates who meet the minimum qualifications are encouraged to apply regardless of how many of these they bring.
Substantial experience with DOW or other U.S. Government acquisition programs, particularly Major Defense Acquisition Programs
Working knowledge of DOW acquisition processes, milestone decision reviews, and the planning, programming, budgeting, and execution (PPBE) cycle
Experience with government cost and technical data sources, such as Cost and Software Data Reports, Software Resources Data Reports, operating and support cost databases, and budget justification exhibits
Proficiency in Python, R, or an equivalent language for cost analytics, data wrangling, and model automation
Experience with cost estimating and risk analysis tools, such as ACEIT/CEAC, @RISK, Crystal Ball, or equivalent simulation software
Experience with schedule analysis or joint cost and schedule risk analysis
Experience developing cost estimating relationships or building and curating cost databases used beyond a single study
Prior experience at an FFRDC, OSW CAPE, a service cost agency (AFCAA, NCCA, ACEIT/CEAC), a cost-analysis consultancy, or a program-office cost shop
Professional certification (ICEAA CCEA, DAWIA Business - Cost Estimating Level III, or equivalent)
Record of publication, peer review, or working-group leadership in the cost analysis community
Active TS/SCI clearance


Compensation -

We support transparency, equity, and fairness in our compensation program and provide a reasonable estimate of the salary range based on data-driven market analysis for each position. While it is not typical for an individual to be hired at or near the top of the range, a reasonable estimate of the salary range for this role is $113,353 - $277,494. Individual salary within this range will be commensurate with the incumbent's experience, unique skills and qualifications, and other relevant factors.

Employment Type: Exempt