Data Scientist

Join a culture of emplowerment and connectivity.

Learn the skills you need to accelerate your career.

Discover benefits that your life and work.

Build mission-ready tech that protects the nation.

As an analytics professional, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. If you care about moving a mission forward as much as advancing the field of data science, this is the opportunity for you. Your deep AI and analytics expertise and advisory mindset, coupled with an original approach to your work, will help clients and stakeholders make sense of their data and encourage actionable results.

We’re looking for someone like you to perform complex data exploration and analytics projects through your experience with mathematics and programming.

As an advanced data scientist and researcher on our Security team, you'll apply innovative AI methodologies to make a real-world impact on real-world problems. You’ll grow your expertise in data science and shape the future of analytics by working in a collaborative environment to solve some of the nation's hardest problems.

We’ll keep you sharp and moving forward in your career, with access to the latest tools and opportunities to publish or present ther you’re using AI to improve government processes or providing better services to the public, you’ll guide a team that serves critical missions from end to end.

Join us. The world can’t wait.

• Experience with coding in Python
• Experience with ML operations pipelines
• Knowledge of mathematics and statistics, including theory of probability, statistical inference, algorithms, and linear algebra
• Ability to derive variational inference procedure mathematically for a novel model and implement the inference procedure in a framework, including PyTorch, Tensor Flow, or Numpy
• Ability to move between theory and practice
• Ability to rapidly learn new technical domains 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, including computer vision, natural language processing, and learning on graphs
• Experience with Modern ML and Research Direction
• Experience with advance and emerging architectures
• Experience with Foundation Models and Representation Learning
• Experience with Scientific or Physics Based Modeling
• Knowledge of cloud system, including AWS

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.

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 $69,400.00 to $ (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.

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