Data Scientist
Listed on 2026-06-03
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IT/Tech
Data Scientist, Machine Learning/ ML Engineer
Data Scientist
As an analytics professional you’re excited at the prospect of unlocking the secrets held by a data set and fascinated by the possibilities of IoT, machine learning, and artificial intelligence. If you care about advancing data science while moving a mission forward, this role invites you to guide clients and stakeholders toward actionable insights with your deep AI and analytics expertise.
As an advanced data scientist and researcher on our Security team, you’ll apply innovative AI methodologies to solve some of the nation’s hardest problems, grow your expertise, and shape the future of analytics in a collaborative environment.
QualificationsRequired Qualifications
- Experience coding in Python
- Experience with ML operations pipelines
- Knowledge of mathematics and statistics, including probability theory, statistical inference, algorithms, and linear algebra
- Ability to derive a variational inference procedure mathematically for a novel model and implement it in PyTorch, Tensor Flow or Num Py
- Ability to move between theory and practice
- Ability to learn new technical domains quickly and apply them to machine learning problems
- Active TS/SCI clearance; willingness to take a polygraph exam
- Bachelor’s degree
- Experience with application areas of machine learning: computer vision, natural language processing, and learning on graphs
- Experience with modern ML and research directions
- Experience with advanced and emerging architectures
- Experience with foundation models and representation learning
- Experience with scientific or physics‑based modeling
- Knowledge of cloud systems, including AWS
Applicants will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.
CompensationThe projected compensation range for this position is $69,400.00 to $ (annualized USD). This figure is one component of Booz Allen’s total compensation package.
Work ModelWork location may be remote, hybrid, or onsite, depending on the role and organizational needs. Remote and hybrid positions may require occasional onsite work at Booz Allen or customer facilities.
EEO StatementAll 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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