The Opportunity:
USEUCOM is standing up a modeling, simulation, and decision analytics program to produce and integrate operational modeling, simulation, and data analytics in support of Joint, Combined, and Coalition operations, planning, and decision making. This new program will leverage digital technologies and analytic methodologies to inform planning, exercises, experiments, and wargames through models, simulations, and analytics of current and alternative operational environments. You will learn probable adversary actions and reactions and understand the possible impacts to U.S., Alliance, and partner forces’ ability to operate in the USEUCOM AOR.
You’ll help our team and our client produce mission-relevant mathematical, statistical, and data models to answer key military operations questions, time series analyses, and probabilities. You’ll support the integration of Service Component and Joint data sources within a bespoke cloud environment. You’ll have the opportunity to analyze Joint operations, capabilities, and experiments and to communicate your analysis to customers across USEUCOM and Joint Staff.
Join us. The world can't wait.
You Have:
5+ years of experience developing data science algorithms, models, and capabilities such as advanced statistical and probability models, including Monte Carlo, Bayesian, or time series modeling
5+ years of experience with programming languages such as Python, R, or MATLAB
3+ years of experience in machine learning, natural language processing, operations research, data visualization, or geospatial analysis
3+ years of experience with relational and non-relational databases
Ability to translate quantitative results to lay audiences
TS/SCI clearance
Bachelor’s degree
Nice If You Have:
1+ years of experience with cloud computing, including AWS or Azure
Experience supporting the IC and DoD
Experience applying data science and related techniques to intelligence or social science problem sets, including in the IC and DoD
Experience with modeling and simulation efforts, including kinetic and non-kinetic problem sets
Possession of excellent verbal and written communication skills
Bachelor’s degree in Statistics, Data Science, Computer Science, or other quantitative Social Science, Mathematical, or Computational field
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 $99,000.00 to $225,000.00 (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.
