Computational Scientist, Senior
Phase2 Technology, Washington, District of Columbia, United States
Job Number: R0238421
Computational Scientist, Senior
The Opportunity
As a computational scientist, you live at the boundary between mathematics and software, building systems where the correctness of the code depends on the correctness of the underlying science. You've developed numerical methods, implemented surrogate models, or built simulation frameworks where understanding the physics matters as much as understanding the architecture. Booz Allen is building a platform that makes computational models composable, verifiable, and fast enough to drive real‑time operational decisions, and we need someone like you to make the science work in production.
As the scientific computing lead on this effort, you'll own the layer that underpins two integrated products. One product requires models that can be validated in isolation, checked for compatibility when composed together, and executed with traceable evidence of correctness. You'll design the validation logic, compatibility checking, and observable binding that makes composition trustworthy. The other product requires probabilistic estimation from noisy, incomplete data streams. You'll build the uncertainty modeling and state estimation that turns raw signals into a working picture of the world that a solver can reason over. In both cases, your work is the foundation that everything else depends on.
You'll join a small, elite team where everyone operates at the technical frontier. You'll be the person on the team who takes a concept from a technical paper or a whiteboard and turns it into tested, production‑grade code the rest of the team builds on. You'll build in a rapid development environment with AI‑native tooling, delivering scientific rigor at engineering velocity.
Join us. The world can't wait.
You Have
5+ years of experience developing computational models, numerical solvers, or physics‑based simulation codes in a professional or research environment
Experience implementing reduced‑order modeling techniques, surrogate modeling, or data‑driven approximation methods for dynamical systems
Experience defining and enforcing validity conditions for computational models, including parameter bounds, domain constraints, or interface specifications between heterogeneous codes
Knowledge of probability theory, statistical estimation, or uncertainty quantification as applied in computational systems
Ability to translate mathematical formulations from research literature into tested, maintainable production software
Ability to obtain a TS/SCI clearance with a polygraph
Bachelor's degree in an Applied Mathematics, Physics, Computational Science, Mechanical Engineering, or Aerospace Engineering field, or 8+ years of experience working in a professional environment in lieu of a degree
Nice If You Have
Experience with operator‑theoretic methods such as Koopman analysis, dynamic mode decomposition, or spectral methods for nonlinear systems
Experience building model repositories, simulation frameworks, or workflow systems that manage heterogeneous computational assets
Experience building products for defense, intelligence, or national security customers
Master's degree in Applied Mathematics, Physics, Computational Science, or a related quantitative field preferred; Doctorate degree in Applied Mathematics, Physics, Computational Science, or a related quantitative field a plus
Clearance
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
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). This posting will close within 90 days from the Posting Date.
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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Computational Scientist, Senior
The Opportunity
As a computational scientist, you live at the boundary between mathematics and software, building systems where the correctness of the code depends on the correctness of the underlying science. You've developed numerical methods, implemented surrogate models, or built simulation frameworks where understanding the physics matters as much as understanding the architecture. Booz Allen is building a platform that makes computational models composable, verifiable, and fast enough to drive real‑time operational decisions, and we need someone like you to make the science work in production.
As the scientific computing lead on this effort, you'll own the layer that underpins two integrated products. One product requires models that can be validated in isolation, checked for compatibility when composed together, and executed with traceable evidence of correctness. You'll design the validation logic, compatibility checking, and observable binding that makes composition trustworthy. The other product requires probabilistic estimation from noisy, incomplete data streams. You'll build the uncertainty modeling and state estimation that turns raw signals into a working picture of the world that a solver can reason over. In both cases, your work is the foundation that everything else depends on.
You'll join a small, elite team where everyone operates at the technical frontier. You'll be the person on the team who takes a concept from a technical paper or a whiteboard and turns it into tested, production‑grade code the rest of the team builds on. You'll build in a rapid development environment with AI‑native tooling, delivering scientific rigor at engineering velocity.
Join us. The world can't wait.
You Have
5+ years of experience developing computational models, numerical solvers, or physics‑based simulation codes in a professional or research environment
Experience implementing reduced‑order modeling techniques, surrogate modeling, or data‑driven approximation methods for dynamical systems
Experience defining and enforcing validity conditions for computational models, including parameter bounds, domain constraints, or interface specifications between heterogeneous codes
Knowledge of probability theory, statistical estimation, or uncertainty quantification as applied in computational systems
Ability to translate mathematical formulations from research literature into tested, maintainable production software
Ability to obtain a TS/SCI clearance with a polygraph
Bachelor's degree in an Applied Mathematics, Physics, Computational Science, Mechanical Engineering, or Aerospace Engineering field, or 8+ years of experience working in a professional environment in lieu of a degree
Nice If You Have
Experience with operator‑theoretic methods such as Koopman analysis, dynamic mode decomposition, or spectral methods for nonlinear systems
Experience building model repositories, simulation frameworks, or workflow systems that manage heterogeneous computational assets
Experience building products for defense, intelligence, or national security customers
Master's degree in Applied Mathematics, Physics, Computational Science, or a related quantitative field preferred; Doctorate degree in Applied Mathematics, Physics, Computational Science, or a related quantitative field a plus
Clearance
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
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). This posting will close within 90 days from the Posting Date.
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.
#J-18808-Ljbffr