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Required Skills
Operations research
Data science
Python
R
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Operations Research Analyst, Senior
The Opportunity:
As an operations research analyst (ORSA), you’re passionate about exploring the root cause of an issue and then analyzing, reporting, and developing recommendations for a creative solution. We need a seasoned research analyst like you to help us solve complex problems for our clients. On our CENTCOM Analysis and Plans team, you’ll lead the evaluation of data assessment strategies such as mathematical and statistical modeling, artificial intelligence, machine learning, data analysis, and decision support analytics processes to deliver solutions.
You won’t go at it alone, you’ll lead a technical team of contractor analysts, including other ORSAs, Data Engineers, as well as a Software Developer and a Dev Sec Ops analyst to conduct research, prepare graphs and charts, and tailor quantitative and qualitative analysis to a broad range of complex military problems by designing, developing, and applying techniques such as probability models, statistical inference, simulations, and optimization and economic models. Once documented, you’ll oversee the development of information displays, decision briefings, analytical papers, and will facilitate senior leader discussions to present results, collaborate with stakeholders, and hold various program meetings to improve program efficiency.
In this role, you’ll share your passion for analytics and statistics to devise modeling and measuring techniques using mathematics, statistical methods, engineering methods, operational mathematics techniques, and other principles and laws of scientific and economic disciplines.
Use your high-level operations research expertise to develop technologies and concepts that advance decision support and advanced analytics.
Join us. The world can’t wait.
You Have:
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10 years of experience with Operations Research Analysis (ORSA), Data Science, or Mathematic or Analytic Methodologies
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Experience with developing analytic methodologies, metrics, and decision criteria
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Experience with leveraging scientific methods to inform qualitative and quantitative analyses
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Experience with using automated statistical packages in support of analysis projects
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Experience with preparing and presenting senior leadership briefings and papers
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Experience with R, Python, or SQL, and a LLM such as ChatGPT or a data analysis software program
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Experience collaborating with analysts in an integrated development environment
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TS/SCI clearance
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Bachelor's degree
Nice If You Have:
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Experience with the CENTCOM Area of Responsibility
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Experience in decision models, code repositories, wargaming, simulation, resource allocation, survey design or analysis and interview techniques, data or information management, nodal or flow modeling, cost or benefit analysis, trending and forecasting, or geospatial analysis
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Possession of excellent oral and written communication skills
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $86,800.00 to $198,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.
- If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.
- If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role.
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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About Booz Allen Hamilton

Booz Allen Hamilton
PublicSpecializing in digital transformation and artificial intelligence.
10,001+
Employees
McLean
Headquarters
Reviews
3.5
5 reviews
Work Life Balance
2.5
Compensation
3.0
Culture
2.8
Career
2.5
Management
2.0
35%
Recommend to a Friend
Pros
Great reputation in federal sector
Hybrid work options available
Established teams and processes
Cons
Poor hiring and recruitment process
Job security concerns with contract-based work
Work-life balance issues
Salary Ranges
34 data points
Junior/L3
L2
L3
L4
L5
L6
Mid/L4
Senior/L5
Junior/L3 · Data Engineer
1 reports
$149,500
total / year
Base
$115,000
Stock
-
Bonus
-
$149,500
$149,500
Interview Experience
7 interviews
Difficulty
2.7
/ 5
Duration
21-35 weeks
Offer Rate
43%
Experience
Positive 29%
Neutral 28%
Negative 43%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Interview
4
Hiring Manager Interview
5
Team Interview
6
Offer
Common Questions
Technical Knowledge
Behavioral/STAR
Past Experience
System Design
Culture Fit
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