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Intern 2025 Strategic Division

Systems Planning and Analysis, Inc.
United States, Virginia, Alexandria
2001 N Beauregard St (Show on map)
Jan 27, 2025

Intern 2025 Strategic Division
Job Locations

US-VA-Alexandria


ID
2025-19575

Category
Internships

Security Clearance Requirement
Top Secret

Type
Intern

Level
Intern



Overview

Systems Planning and Analysis, Inc. (SPA) delivers high-impact, technical solutions to complex national security issues. With over 50 years of business expertise and consistent growth, we are known for continuous innovation for our government customers, in both the US and abroad. Our exceptionally talented team is highly collaborative in spirit and practice, producing Results that Matter. Come work with the best! We offer opportunity, unique challenges, and clear-sighted commitment to the mission. SPA: Objective. Responsive. Trusted.

The Strategic Division (SD) supports high-reliability organizations including Navy Strategic Systems Programs (SSP), Air Force Nuclear Weapons Center, and the Department of Energy (DOE), among others. Our support across our client base is expanding rapidly and encompasses important services, such as data analytics and visualization, threat analysis, risk management, modeling and simulation, cost estimating, earned value management, program management, system engineering, independent evaluation, and High Consequence Event prevention.

The Strategic Systems Analysis Group (SSAG) supports government and private sector strategic planning, decision making, and program management. SSAG integrates deep client knowledge, advanced analytics, and subject matter expertise to provide timely and objective technical, operational, programmatic, acquisition, and policy analysis.

Timeline for intern selection:

    Applications can be submitted and will be reviewed until 07 February 2025.
  • Interviews will be ongoing and conclude by 21 February 2025.
  • Offers/decisions will be extended by 07 March 2025.


Responsibilities

The successful candidate will be expected to provide relevant, objective, timely, and clear analytical support to SSAG customers to help them make better decisions. The candidate will be able to work collaboratively to formulate problems, propose solution methods, and conduct analysis for the customer.

The candidate will be familiar with ideas and techniques in Operations Research, Data Science, and/or Physics-Based Modeling. They will possess an inquisitive mind, a desire to broaden their skills, and be open to new, challenging problems that may stretch them to achieve success. They will be able to work with autonomy and tenacity to complete tasks and take initiative to support others when needed.

Tasks include, but are not limited to:

  • Develop and apply operations research techniques such as mathematical optimization, simulation, decision analysis, and statistical analysis.
  • Decompose complex issues into simplified problem statements and clearly and explicitly connect analysis to specific aspects of the problem.
  • Develop and maintain tools and models to support analytic projects and processes.
  • Create data visualizations in support of decision analysis, model verification, and client communication.
  • Assist in the development of briefings, memos, and Contract Deliverables.


Qualifications

Required Qualifications:

  • Currently pursuing a Bachelor's Degree in Mathematics, Operations Research, Data Science, Computer Science, Physics, or a related technical discipline.
  • Coursework or other experience with linear optimization, discrete optimization, machine learning, Bayesian statistics, probability theory, or simulation
  • Experience with Python, R, or a similar programming language.
  • Must meet eligibility requirements for access to classified information. US Citizen and Eligibility for TOP SECRET security clearance required.

Desired Qualifications:

  • Currently pursing a Master's Degree in Mathematics, Operations Research, Data Science, Computer Science, Physics, or a related technical discipline
  • Experience using Python, R, or a similar programming language to build models, perform statistical analysis, or do other quantitative analysis work.
  • Experience with Atlassian tools including JIRA, Confluence, and Bitbucket.
  • Experience with tools such as Tableau or Power BI that can integrate disparate data sources into visualizations that aid analysis and decision making.
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