Virtual Math Jobs in South Carolina (NOW HIRING)

Remote Work:
No
Job Number:
R0243640
Location:
Langley AFB,VA,US
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Operations Research Analyst
The Opportunity:
As an operations analyst, you're passionate about exploring the root cause of an issue and then analyzing, reporting, and developing recommendations for a creative solution. We need an experienced research analyst like you to help us solve complex problems for our clients. On our team, you'll evaluate United States Air Force capabilities.
You won't go at it alone, you'll work alongside a team to conduct research, prepare graphs and charts, and analyze and interpret the performance needs of various capabilities. Once documented, you'll develop the findings to present results, collaborate with stakeholders, and participate in various program meetings to improve program efficiency.
In this role, you'll use your passion for analytics and statistics to devise modeling and measuring techniques utilizing mathematics, statistical methods, engineering methods, operational mathematics techniques, and other principles and laws of scientific and economic disciplines.
Use your operations research knowledge to develop technologies and concepts that advance our customer's mission.
Join us. The world can't wait.
You Have:

• 4+ years of experience with Operations Research Analysis (ORSA), Data Science, or mathematic or analytic methodologies
• Experience with developing analytic methodologies, metrics, and decision criteria
• Experience with leveraging scientific methods to inform qualitative and quantitative analyses
• Experience with preparing and presenting information to communicate assessment findings
• Experience with R, Python, SQL, or software programs that analyze data
• Experience collaborating with other analysts in an integrated development environment
• Experience with survey design or analysis and interview techniques
• Secret clearance
• Bachelor's degree in Operations Research Systems Analysis, Science, Technology, Engineering, or Mathematics

Nice If You Have:

• Experience with decision models, nodal or flow modeling, or trending and forecasting
• Experience with code repositories, or data and information management
• Experience with wargaming, simulation, or geospatial analysis
• Possession of excellent oral and written communication skills
• Master's degree in Operations Research, Data Science, Engineering, or Applied Mathematics

Clearance:
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.
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 $69,300.00 to $158,000.00 (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 hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. 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.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
• Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the 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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