below marketmost similar roles pay hereabove market
This role pays less than
74%
of similar roles. Most pay
$126,800–$204,800
— the blue band above.
At the midpoint, this role pays about
$127k
versus about
$166k
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
1662 open roles
on FindRole.
Listed pay typically runs
$86,800–$198,000
across 904 roles with salary data.
JOB TITLE: Data Scientist
The Data Scientist will join a team supporting the U.S. Space Force to transform complex structured and unstructured data into objective insights for leadership. The role involves crafting strategies to source datasets, establishing KPIs, and writing scripts to automate processes. You will build dashboards and visualizations to surface trends and forecasts while translating technical analyses into clear narratives for military stakeholders. Key technologies include Python, R, and SQL, along with libraries such as pandas, NumPy, and scikit-learn. You will also utilize Tableau, Power BI, Matplotlib, and Plotly for data modeling. Additionally, the role requires applying machine learning methods like random forests and gradient-boosted models, while leveraging generative AI tools like Copilot and ChatGPT to enhance mission efficiency and accelerate code development.
What does a Data Scientist earn in Virginia?
Median $162000 from 89 postings across 9 companies.
Craft strategies to locate and source diverse datasets from structured and unstructured environments.
Establish key performance indicators and metrics to support leadership decision-making.
Write scripts to analyze data and automate manual processes for increased efficiency.
Build interactive dashboards using business intelligence tools like Tableau or Power BI.
Apply machine learning models such as random forests and gradient-boosted models in production.
Translate complex technical analyses into clear narratives and use cases for military stakeholders.
Use generative AI tools to accelerate code development and orchestrate agentic workflows.
What we're looking for
2+ years of experience with data exploration, cleaning, analysis, visualization, or mining of structured and unstructured data.
2+ years of experience with programming languages like Python, R, or SQL and libraries such as pandas, NumPy, or scikit-learn.
2+ years of experience building dashboards in Tableau or Power BI, including advanced analytical expressions and custom code.
1+ years of experience applying machine learning methods like logistic regression, random forests, and gradient-boosted models in production.
Experience collaborating with stakeholders to define KPIs, build monitoring metrics, and communicate analytical insights to senior government or military stakeholders.
Experience using generative AI tools and scoping data science solutions in a professional setting.
Experience supporting the U.S. Space Force, Air Force, or another DoD Service (preferred).
Experience developing NLP models, data strategies, or business development artifacts (preferred).
Python
R
SQL
SAS
MATLAB
Machine Learning
Artificial Intelligence
Natural Language Processing
Spark
Databricks
ElasticSearch
NiFi
Palantir Foundry
Tableau
Power BI
Qlik
Plotly
Seaborn
ggplot2
ADVANA
Maven Smart System
Python
R
SQL
pandas
NumPy
scikit‑learn
Tableau
Power BI
Matplotlib
Plotly
Machine Learning
Natural Language Processing
Generative AI
Copilot
ChatGPT
Gemini
Logistic Regression
Random Forests
Data Visualization
Data Mining