The Opportunity:  

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 analytics and machine learning expertise and consulting 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 lead complex data exploration and analytics projects through your experience with Python and AI/ML for the Department of Defense.

As an advanced Data Scientist on our National Security team, you’ll learn and apply innovative data analytic methodologies to make a real-world impact on the development of decision support tools. You’ll grow your skills in data science, AI, and bibliometrics. You’ll shape the future of analytics through innovative portfolio analysis and decision-support tooling in DoD environments.

We’ll keep you sharp and moving forward in your career, with access to online courses, communities of practice, and opportunities to publish or present at conferences. Whether you’re using AI to improve government efficiency or support the development of defense capabilities, you’ll guide a team that serves critical missions from end to end.

Join us. The world can’t wait.

You Have:   

• Experience with Python

• Experience with clustering and topic modeling, automated query generation, implementation of GenerativeAI and Large Language Models, natural language processing of unstructured data, entity disambiguation, network analysis, bibliometric and citation analysis, econometric analysis, relationship extraction, or Science and Technology forecasting

• Experience in data science tool development

• Experience devising and managing AI/ML and GenAI based projects aligned to business needs

• Experience in ETL data pipeline development

• Experience in object-oriented programming

• Ability to cross-validate models to ensure their generalizability

• Secret clearance

• Bachelor’s degree in Computer Science, Data Science, Computer Engineering, or Statistics

• CompTIA Security+ CE certification

Nice If You Have:   

• Experience coordinating a workstream and managing tasks

• Experience in data science with a focus on Science and Technology programs

• AWS Certified Solutions Architect Associate or relevant certification

Clearance: 

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.

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.

Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

• If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.
• If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role.

EEO Commitment

We’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.