This Data Scientist position applies data science methods and tools to support Department of Defense (DoD) clients in expanding decision space, improving understanding of strategic risk, and evaluating and adjusting enterprise-level campaigns.
Role Summary
In this role, you will perform statistical analysis and build data visualizations to communicate results. Responsibilities include leading projects from scoping through delivery, mentoring junior team members, and presenting insights to technical audiences and senior DoD leadership.
Key Responsibilities
- Design and execute statistical analyses on large, complex datasets drawn from multiple sources.
- Create production-quality data visualizations, plots, and dashboards tailored to technical and executive audiences.
- Lead data science projects from scoping through delivery, maintaining analytical rigor and alignment with mission objectives.
- Partner with stakeholders to convert strategic questions into analytical approaches and deliver actionable insights.
- Handle ad-hoc analytical requests while balancing competing priorities and deadlines in an agile workflow.
- Mentor junior data scientists and establish best practices for reproducible, well-documented analyses.
- Communicate complex statistical findings to both technical teams and senior DoD leadership.
Required Qualifications
- 6+ years of experience with data science, statistical analysis, or quantitative research.
- 6+ years of experience developing algorithms and using R or Python within data analysis libraries, including pandas, NumPy, scikit-learn, or Tidyverse.
- 6+ years of experience analyzing structured and unstructured data sources.
- Experience with statistics, including hypothesis testing, regression analysis, experimental design, and uncertainty quantification.
- Experience with SQL for data management, including managing large-scale data across multiple databases and data warehouses.
- Experience with large-scale datasets and distributed computing frameworks, including Spark or DASK.
- TS/SCI clearance.
- Bachelor's degree.
Technologies
- R
- Python
- pandas
- NumPy
- scikit-learn
- Tidyverse
- SQL
- Spark
- DASK
Nice to Have
- Experience with Natural Language Processing (NLP) techniques such as text classification or entity recognition.
- Experience with geospatial data analysis.
- Experience with Databricks for data science workflows, including building and scaling analytical pipelines, collaborating in notebooks, and integrating with Spark for large-scale processing.
- Experience with data engineering principles, including ETL design, orchestration, and data pipeline architecture, to work effectively with engineering teams.
- Experience working with the U.S. Department of Defense or the Intelligence Community.
- Experience with graph analytics, network analysis, or anomaly detection techniques.
- Experience with version control such as Git, and reproducible research practices.
- Knowledge of machine learning model development and deployment practices.
- Excellent written and verbal communication skills.
- Master's degree in Statistics, Computer Science, Data Science, or Economics.
Benefits
- Health, life, disability, financial, and retirement benefits.
- Paid leave.
- Professional development.
- Tuition assistance.
- Work-life programs.
- Dependent care.
- Recognition awards program.
- 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.
Security and Clearance
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.
Location and Work Model
Onsite work is primarily performed at a Booz Allen office or customer facility, with collaboration required directly with colleagues and customers as needed for the role. The role is located in Alexandria, VA.
Compensation and Timing
- Projected compensation range: $99,000.00 to $225,000.00 (annualized USD).
- This posting will close within 90 days from the Posting Date.
Identity Verification and Interview Requirements
- During the hiring process, you will be asked to complete an identity verification process that uses advanced biometrics and artificial intelligence to ensure authenticity and help protect against identity fraud.
- You are expected to be on camera during interviews and assessments.
- Booz Allen reserves the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
- AI is part of daily work at Booz Allen, and the organization supports responsible and ethical use of AI tools.
- The use of artificial intelligence (AI) or other tools to assist with responses during interviews (in-person or virtual) is prohibited unless permission is explicitly provided.
Non-Discrimination Statement
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.
