Data Scientist

Booz Allen Hamilton

Actively hiring Posted this week

Alexandria, VA Posted 2 days ago Apply by Aug 30, 2026 $99,000–$225,000 / year

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99+ other roles within 25 mi Near Alexandria, VA

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Competitive pay

How this pay compares to similar roles

Similar $151k

This role $162k

$84k most similar roles pay here $240k

This role pays more than 63% of similar roles. Most pay $126,800–$175,500 — the shaded band above. At the midpoint, this role pays about $162k versus about $151k 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 670 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 657 roles with salary data.

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At a glance

TL;DR

Join our dynamic team as a Data Scientist where you will leverage your expertise in Python, R, and SQL to manipulate and analyze complex datasets. Your daily tasks will include deploying and maintaining user-facing models, conducting data cleansing and analytics, applying both supervised and unsupervised machine learning algorithms on structured and unstructured data, and creating insightful visualizations. You will work closely with cross-functional teams to solve intricate business problems, ensuring that your solutions are robust and scalable. Ideal candidates possess a strong background in research design principles, analytic methods, and system integration, along with the ability to advise clients on data infrastructure and governance strategies. Experience in psychometric theory and assessment validation methodologies is also beneficial for this role.

Skills

Python R SQL data visualization machine learning algorithms supervised machine learning unsupervised machine learning structured datasets unstructured datasets data cleansing data analytics inferential statistics system integration research design principles analytic methods methodological tools psychometric theory Item Response Theory Factor Analysis data strategy data governance

What you'll do

Analyze complex datasets using Python, R, and SQL.
Apply machine learning algorithms on structured and unstructured data.
Deploy and maintain user-facing predictive models.
Cleanse and integrate data to support system integration.
Visualize data insights for stakeholders and clients.

What we're looking for

3+ years experience in programming languages like Python, R, and SQL for data manipulation and analysis.
Experience deploying and maintaining user-facing or accessible models.
Proficiency in data cleansing, analytics, inferential statistics, visualization, and system integration.
Knowledge of research design principles and analytic methods in applied mathematics and computer programming.
Ability to apply supervised and unsupervised machine learning algorithms on structured and unstructured datasets.
Bachelor’s degree required.

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