The Opportunity:

As a Data Scientist, you’re excited by the challenge of transforming complex, disparate data into actionable insights and intelligent solutions that drive mission outcomes. In a growing business, organizations often face fragmented data environments that require advanced analytics, machine learning, and domain expertise to unlock their full value. As a Data Scientist at Booz Allen, you will help design, develop, and deploy data-driven solutions that power advanced analytics, predictive modeling, decision support, and enterprise AI capabilities.

On our team, you’ll leverage your expertise in data science to create real-world impact. You’ll collaborate closely with internal customers to translate their requirements into analytical frameworks and scalable data solutions. You’ll guide teammates and contribute to the development of methodologies that integrate various data sources, uncover meaningful patterns, incorporate domain knowledge, and generate actionable insights. You’ll use the right combination of tools and technologies to build robust analytical pipelines that improve model performance, enable data-driven decision-making, and support intelligent automation.

Ultimately, you’ll bridge the gap between raw data and operational outcomes, helping clients understand their data, identify opportunities, and apply advanced analytics and AI to solve complex problems. Due to the nature of work performed within this facility, U.S. citizenship is required.

Join us. The world can’t wait.

You Have:   

• 3+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining 
• 3+ years of experience analyzing structured and unstructured data sources  
• Experience in data manipulation leveraging R, Python, or SQL or NoSQL 
• Experience supporting operational AI, quantitative analyses, and visualization of targeted data sources  
• Experience leading the development of solutions to complex programs 
• Experience with natural language processing, text mining, or machine learning techniques
• Bachelor’s degree 

Nice If You Have:   

• Experience with distributed data or computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL  
• Experience with semantic layer tools such as Cube, dbt Semantic Layer, or Databricks Unity Catalog Semantics

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.

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.

Candidate AI Usage Policy

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. 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 or customer facility, in alignment with your leadership's expectations and the needs of the role.
• Onsite: If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All 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.