This role pays more than
63%
of similar roles. Most pay
$135,000–$184,900
— the shaded band above.
At the midpoint, this role pays about
$162k
versus about
$160k
for comparable roles.
Based on 240 similar postings.
Employer
About Booz Allen Hamilton
Booz Allen Hamilton is a management and technology consulting firm that provides analytics, digital, engineering, and cybersecurity solutions primarily to U.S. government agencies and commercial clients. Industry: Management & Technology Consulting
Booz Allen Hamilton currently has
1385 open roles
on FindRole.
Listed pay typically runs
$86,800–$198,000
across 911 roles with salary data.
Data Scientist, Senior serves on a team focused on aerospace mission solutions where the primary objective is transforming complex, large-scale data into actionable insights for Air Force leaders. You will work directly with customers to identify their needs and develop data collection tools, visualizations, dashboards, algorithms, and scripts to perform predictive analytics. The role involves managing the full lifecycle of AI projects while processing diverse formats including text, time-series, images, and signals. Key technical requirements include extensive experience with Python for anomaly detection and exploratory data analysis, building API-based integration pipelines, and deploying machine learning models into production web applications. You will utilize statistical concepts, mathematical modeling, and optimization techniques to solve problems within operational constraints. Required qualifications include a relevant bachelor's degree and a Top Secret clearance to handle sensitive information in this mission-critical domain.
What does a Data Scientist earn in Virginia?
Median $152955 from 77 postings across 6 companies.
Develop data collection tools, visualizations, and dashboards to provide actionable insights for Air Force leaders.
Build algorithms and scripts to process complex structured and unstructured datasets.
Conduct predictive analytics using machine learning and other advanced statistical methods.
Design and implement API-based data integration pipelines for large-scale operations.
Integrate machine learning models into production web applications beyond the prototyping phase.
Manage the full lifecycle of data science and AI projects at an enterprise scale.
Translate complex data findings into clear insights for both technical and non-technical stakeholders.
What we're looking for
Bachelor’s degree in Data Science, Computer Science, Information Science, or Engineering.
Top Secret clearance.
5+ years of experience with Python-based data analysis, including anomaly detection and exploratory data analysis for machine learning applications.
5+ years of experience designing and implementing API-based data integration pipelines.
3+ years of experience integrating ML models into production web applications beyond prototyping.
3+ years of experience managing the full lifecycle of data science and AI projects at an enterprise scale.
2+ years of experience working with varied data formats including text, time-series, image, and signals for model training.
Knowledge of statistical concepts, mathematical modeling, and optimization techniques; ability to communicate insights to technical and non-technical audiences.
Experience designing predictive analytic models, using AWS, or utilizing Agile tools like JIRA and Confluence (preferred).
Knowledge of geospatial data formats, real-time streaming patterns, or IC-compliant standards for classified data (preferred).
Python
Machine Learning
Artificial Intelligence
Palantir Foundry
Docker
Kubernetes
ETL
Data Warehousing
API Development
Data Engineering
Predictive Analytics
Python
Machine Learning
Artificial Intelligence
Palantir Foundry
Docker
Kubernetes
ETL
Data Warehousing
API Development
Data Engineering
Predictive Analytics
Containerization