Operations Research Analyst and Data Scientist

The Opportunity:

Do you love solving problems? Are you passionate about exploring the root cause of an issue and then analyzing, and developing recommendations for a creative solution? On our multi-disciplinary team of analysts and data scientists, you’ll apply analytic techniques including optimization, simulation, machine learning, statistical analysis, Data Engineering, and multi-objective decision analysis to deliver innovative solutions and inform Senior DOD leadership decisions. You won’t go at it alone; you’ll work alongside our team of experienced data scientists and operations research analysts to conduct research, collaborate with stakeholders, develop and deploy models and simulations, construct and automate data pipelines, prepare visualizations, and analyze large volumes of qualitative and quantitative data to help develop cutting edge capabilities and address pressing issues for the DOD. Join us. The world can’t wait.

You Have:  

  • Experience developing and applying simulation and optimization models
  • Experience conducting data analysis on complex sets of quantitative data
  • Experience and proficiency with one or more programming languages
  • Experience with cloud computing environments, including AWS and Azure
  • Experience leveraging scientific methods to inform qualitative and quantitative analyses
  • Ability to work effectively in a collaborative, fast-paced, and diverse environment
  • Ability to work onsite in the national capital region
  • Secret clearance
  • Bachelor’s degree in Operations Research, Applied Mathematics, Statistics, CS, Industrial Engineering, or Data Science

Nice If You Have:  

  • 2+ years of experience in Operations Research, Applied Mathematics, Computers Science, or Data Science
  • Experience within the DoD
  • Experience in Software Development and using data bricks and Apache Spark to conduct analysis
  • Experience developing visualizations and dashboards using Qlik, Tableau, or Power BI
  • Experience applying an Agile approach to analysis and product development
  • Experience conducting and automating data engineering tasks
  • Experience building client relationships, developing requirements to inform analyses, and presenting results to stakeholders
  • Experience in R, Python, SQL, and Git
  • Possession of excellent verbal and written communication skills
  • Master’s degree in Operations Research, Applied Mathematics, Statistics, CS, Industrial Engineering, or Data Science


Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.

Build Your Career:

When you join Booz Allen, you’ll have the opportunity to connect with other professionals doing similar work across multiple markets. You’ll share best practices and work through challenges as you gain experience and mentoring to develop your career. In addition, you’ll have access to a wealth of training resources through our Analytics University, an online learning portal where you can access more than 5000 functional and technical courses, certifications, and books. Build your technical skills through hands-on training on the latest tools and state-of-the-art tech from our in-house experts. Pursuing certifications that directly impact your role? You may be able to take advantage of our tuition assistance, on-site bootcamps, certification training, academic programs, vendor relationships, and a network of professionals who can give you helpful tips. We’ll help you develop the career you want as you chart your own course for success. 

We’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.

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