Computer Scientist, Mid

As an analytic professional with a computer science background, 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 computer science, this is the opportunity for you. Your analytics, data science, AI, and machine learning knowledge and consulting expertise, coupled with an original approach to your work, will help clients and stakeholders make sense of their data and encourage actionable results.

About the role

We’re looking for someone to steer complex data exploration and analytics projects through your experience with programming languages, operationalizing models, containerization, data architecture, and cloud computing platforms for the Intelligence Community. As a computer scientist on our National Security team, you’ll learn and apply innovative AI & ML methodologies to make a real-world impact. You’ll grow your skills in data science, AI, machine learning operationalization, and predictive modeling, and shape the future of analytics through patents, peer-reviewed papers, major conference presentations, and code submissions. We’ll keep you sharp and moving forward in your career with access to online courses, the latest tools and methods, and opportunities to develop industry-facing publications and presentations.

Whether you’re using AI to impact climate, improve government efficiency, provide better services to the public, or enhance veterans’ experiences, you’ll collaborate with a team that serves critical missions from end to end.

Requirements

• 3+ years of experience correlating complex technical findings into graphical, written, visual, and verbal narrative products
• Experience building advanced analytics and AI/ML models, particularly tools leveraging LLMs or agentic AI, including data retrieval and cleaning, modeling, accuracy evaluation/testing, and visualization
• Experience working on classified networks in support of DoD or IC clients
• Ability to visualize complex data and concepts for non-technical leadership, highlighting system risks and articulating "go or no-go" criteria clearly
• Active TS/SCI clearance; willingness to take a polygraph exam
• Bachelor’s degree and 3+ years of experience with scientific techniques such as mathematics, statistics, information science, AI, machine learning, probability modeling, data mining, data engineering, or data warehousing, or 7+ years of experience with these scientific techniques in lieu of a degree

Skills

Nice if you have:

• 2+ years of experience in the development of algorithms leveraging R, Python, or SQL/NoSQL
• 2+ years of experience with distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL
• 2+ years of experience with Machine Learning, AI, or NLP
• Experience with visualization packages, including Plotly, Seaborn, or ggplot2
• TS/SCI clearance with a polygraph
• Master’s degree

Benefits

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
• Paid leave, professional development, and tuition assistance
• Work-life programs and dependent care
• Recognition awards program 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 this threshold are only eligible for select offerings, not inclusive of health benefits.

Pay

Salary 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 $77,600.00 to $176,000.00 (annualized USD).

Schedule

We prioritize the benefits of collaboration, whether in person or virtually. 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.