Data Scientist

Booz Allen Hamilton

Quick summary

Work type: On-site
Location: San Antonio, TX
Salary: $77,500–$176,000 / yr
Posted: 2 days ago
Closes: Sep 1, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $152k

This role $127k

$61k most similar roles pay here $231k

This role pays less than 88% of similar roles. Most pay $126,800–$177,968 — the shaded band above. At the midpoint, this role pays about $127k versus about $152k 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 694 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 682 roles with salary data.

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View all roles at Booz Allen Hamilton

At a glance

TL;DR · Data Scientist

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As a Data Scientist at our company, you will collaborate closely with customers to uncover insights from their data-rich environments and address complex business or national security challenges. This role involves using Python, Pandas, R, SQL, Tableau, SAS JMP, QLIK, Palantir, Seaborn, and other tools for statistical analysis and exploratory data analytics. You will develop and optimize systems and data pipelines under technical constraints, manage multiple projects simultaneously, and troubleshoot issues independently. Additionally, experience with geospatial data analysis using Python frameworks like GeoPandas and Shapely is beneficial, as well as proficiency in web data extraction techniques such as Playwright and lxml. This position requires a Bachelor’s degree and ideally a Master’s degree, along with the ability to work on disconnected or classified systems.

Skills

Python Pandas R SQL Tableau SAS JMP QLIK Palantir Seaborn GeoPandas Shapely pyproj Playwright lxml ArcGIS QGIS.Cursors.Windsurf

What you'll do

Analyze complex data sets using Python, Pandas, R, or SQL to solve industry-specific problems.
Develop and optimize statistical analysis systems within technical constraints.
Design efficient data pipelines considering competing parameters in business environments.
Troubleshoot and resolve development issues independently on multiple projects simultaneously.
Perform geospatial data analysis using frameworks like GeoPandas and Shapely.

What we're looking for

2+ years of experience in data analysis using Python, Pandas, R, or SQL.
2+ years of experience with statistical analysis software like Tableau, SAS JMP, QLIK, Palantir, Seaborn.
Experience developing and optimizing systems or data pipelines under technical constraints.
Ability to manage multiple projects simultaneously and troubleshoot issues independently.
Bachelor’s degree required; Master’s degree preferred.
Nice to have: 1+ year of geospatial data analysis experience using Python frameworks.

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