TELECOMMUTE Data Scientist

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 at conferences. Whether 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.

• 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, TensorFlow, 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

Nice If You Have:

• 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

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 $158,000.00 (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 hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. 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.

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

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.