Data Scientist

Booz Allen Hamilton

Quick summary

Work type: On-site
Location: Langley Afb, VA
Salary: $99,000–$225,000 / yr
Posted: 6 days ago
Closes: Sep 6, 2026
Nearby: 21 roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $154k

This role $162k

$84k most similar roles pay here $240k

This role pays more than 62% of similar roles. Most pay $126,800–$181,855 — the shaded band above. At the midpoint, this role pays about $162k versus about $154k 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 702 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 693 roles with salary data.

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At a glance

TL;DR · Data Scientist

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As a Data Scientist at this innovative team, you will support advanced data interoperability efforts in dynamic operational environments by partnering with technical and operational teams to identify challenges and create scalable solutions. Your daily tasks include designing and implementing APIs and SDKs for data integration, structuring and normalizing disparate data sources under complex constraints, and developing semantic taxonomies or ontologies for cross-system compatibility. You will leverage Python for anomaly detection and exploratory data analysis while working with cloud platforms like AWS and semantic web technologies such as RDF and JSON-LD. This role requires excellent communication skills to explain complex data concepts across technical and non-technical teams, along with a Top Secret clearance and ideally TS/SCI clearance, given the sensitive nature of the work involving classified data in mission-critical environments.

Skills

Python APIs SDKs AWS JIRA Confluence RDF OWL JSON-LD SKOS SHACL GeoJSON WKT Terraform CI/CD

What you'll do

Analyze complex datasets using Python for anomaly detection and exploratory data analysis.
Design and implement APIs and SDKs to integrate disparate data sources in operational settings.
Develop semantic taxonomies or ontologies to enhance cross-system interoperability and machine-to-machine compatibility.
Optimize end-to-end data workflows to meet mission objectives in dynamic environments.
Communicate complex data concepts effectively across technical and non-technical teams.

What we're looking for

5+ years experience in Python-based data analysis including anomaly detection and EDA.
5+ years designing and implementing solutions with APIs, SDKs, and data integration.
Expertise in structuring and normalizing complex data sources under operational constraints.
Knowledge of developing semantic taxonomies or ontologies for cross-system interoperability.
Ability to communicate technical concepts effectively across various teams.
Top Secret clearance required.
Bachelor’s degree in Data Science, Computer Science, Information Science, or Engineering.

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