This role pays less than
97%
of similar roles. Most pay
$126,800–$196,387
— the shaded band above.
At the midpoint, this role pays about
$102k
versus about
$162k
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
799 open roles
on FindRole.
Listed pay typically runs
$86,800–$198,000
across 780 roles with salary data.
As a Data Scientist, you will join a team dedicated to transforming complex structured and unstructured data into actionable information to solve global challenges like fraud detection and cancer research. You will work closely with clients to identify their specific needs, then dive into data-rich environments to develop algorithms and systems using various tools and frameworks. The role requires the ability to provide deep insights into what data means for informed decision-making. Essential skills include proficiency in Python and other statistical or general-purpose programming languages for analysis, as well as applying scientific methods to qualitative and quantitative analyses. You will operate within Windows and Linux environments, potentially utilizing VS Code, GitHub, Jira, and Confluence. This role requires a TS/SCI clearance with a polygraph and experience in data gathering, cleansing, and parsing.
What does a Data Scientist earn?
Median $162025 from 276 postings across 61 companies.
Analyze both structured and unstructured data sources to identify key information.
Develop algorithms and systems using various tools and frameworks to process disparate data points.
Translate complex datasets into objective answers to help clients make informed decisions.
Use scientific methods to conduct qualitative and quantitative analyses.
Gather, cleanse, and parse data to prepare it for analysis.
Provide deep insights into what data means and how it can be applied to solve problems.
Identify patterns in large datasets related to areas like fraud detection or research.
What we're looking for
TS/SCI clearance with polygraph.
Bachelor’s degree and 1+ years of experience with data analysis, or 3+ years of experience with data analysis in lieu of a degree.
1+ years of experience with Python.
Experience with statistical and general-purpose programming languages for data analysis.
Ability to analyze structured and unstructured data sources using scientific methods.
Ability to work effectively in a collaborative and fast-paced environment.
Experience with data gathering, cleansing, and parsing (preferred).
Knowledge of DoD intelligence processes, activities, standards, and analytic tools (preferred); Bachelor's degree in Operations Research, Applied Mathematics, or Data Science (preferred).
Python
R
Machine Learning
Artificial Intelligence
IoT
Statistics
Operations Research
Modeling and Simulation
Linux
Windows
Optimization
Decision Analysis
Advanced Mathematics
Python
R
SQL
Machine Learning
Data Visualization
Inferential Statistics
Data Analytics
Data Cleansing
System Integration
Web Applications
Item Response Theory
Factor Analysis
Data Governance
Research Design
Python
Palantir Foundry
PySpark
Machine Learning
Artificial Intelligence
Data Visualization
Data Mining
Distributed Data Pipelines
IoT
Data Analysis
Analytics Packages