Time left to apply: End Date: November 24, 2025 (30+ days left to apply)Job requisition id: R0225074Data ScientistThe Opportunity:USEUCOM is establishing 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 help understand probable adversary actions and their impacts on U.S., Alliance, and partner forces’ ability to operate in the USEUCOM AOR.Your role will involve producing mission-relevant mathematical, statistical, and data models to answer key military operational questions, perform time series analyses, and estimate probabilities. You will support the integration of Service Component and Joint data sources within a bespoke cloud environment. Additionally, you will analyze Joint operations, capabilities, and experiments, communicating your findings to customers across USEUCOM and the Joint Staff.You Have:5+ years of experience developing data science algorithms, models, and capabilities, including advanced statistical and probability models such as Monte Carlo, Bayesian, or time series modeling5+ years of experience with programming languages such as Python, R, or MATLAB3+ years of experience in machine learning, natural language processing, operations research, data visualization, or geospatial analysis3+ years of experience with relational and non-relational databasesAbility to translate quantitative results for lay audiencesTS/SCI clearanceBachelor’s degreeNice If You Have:1+ years of experience with cloud computing, including AWS or AzureExperience supporting the IC and DoDExperience applying data science techniques to intelligence or social science problem sets within the IC and DoDExperience with modeling and simulation efforts, including kinetic and non-kinetic problem setsExcellent verbal and written communication skillsBachelor’s degree in Statistics, Data Science, Computer Science, or other quantitative Social Science, Mathematical, or Computational fieldClearance: Applicants will be subject to a security investigation; TS/SCI clearance is required.Compensation:At Booz Allen, we value your contributions and offer health, life, disability, financial, and retirement benefits, along with paid leave, professional development, tuition assistance, work-life programs, and dependent care. The projected salary range is $99,000 to $225,000 annually, depending on various factors. This posting closes within 90 days from the posting date.Identity Statement: During interviews, you are expected to be on camera. We may take your picture to verify your identity and prevent fraud.Work Model: Our culture emphasizes flexibility and collaboration, whether remote or in-person. If listed as remote or hybrid, you will periodically work from a Booz Allen or client site. If onsite, you will work in person with colleagues and clients as needed.Commitment to Non-Discrimination: We consider all qualified applicants without regard to disability, veteran status, or other protected statuses. #J-18808-Ljbffr