Research Analyst - Cost Estimator

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 a Research Staff Member - Cost Estimator. 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, and sustainment domains, as well as cross-cutting policy and resourcing questions.

This is a broadly scoped role. The estimator 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.

• 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

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 3+ years of relevant experience.

Knowledge/Skills/Abilities:

• Experience developing or directly supporting cost estimates, budget analyses, or comparable quantitative analyses of complex systems or programs, in a government, FFRDC, industry, or research setting
• Working knowledge of several cost estimating methods - parametric or regression-based estimation, analogy, engineering build-up, or learning-curve analysis - and a willingness to develop the others
• Strong quantitative and data-handling skills, including spreadsheet-based modeling and familiarity with Python, R, or an equivalent language for data preparation and analysis
• Ability to learn unfamiliar technical subject matter quickly and work across programs in different domains
• Attention to documentation and analytic reproducibility
• Ability to work effectively both independently and as part of a project team, managing time across concurrent tasks
• Clear written and oral communication, including the ability to explain quantitative results to non-specialists
• 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.…