This role pays less than
73%
of similar roles. Most pay
$126,800–$193,625
— the shaded band above.
At the midpoint, this role pays about
$127k
versus about
$160k
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
815 open roles
on FindRole.
Listed pay typically runs
$86,800–$198,000
across 787 roles with salary data.
As a Data Scientist, you will join a team dedicated to uncovering insights within complex datasets to solve global challenges across private and public sectors, including fraud detection and cancer research. You will work closely with clients to understand their specific needs, digging into data-rich environments to identify critical information pieces. Your daily responsibilities include developing algorithms and systems using various tools and frameworks to transform disparate data points into objective answers for informed decision-making. The role requires proficiency in Python and other statistical or general-purpose programming languages to analyze both structured and unstructured data sources. You will apply scientific methods to inform qualitative and quantitative analyses. Required qualifications include a TS/SCI clearance with a polygraph, along with experience in data analysis, potentially utilizing tools like VS Code, GitHub, Jira, Confluence, and various Linux or Windows environments.
What does a Data Scientist earn?
Median $162000 from 282 postings across 57 companies.
Analyze both structured and unstructured data sources to identify key information.
Develop algorithms and systems to transform disparate data points into objective answers.
Use Python and other programming languages to perform complex data analysis.
Apply scientific methods to conduct qualitative and quantitative analyses.
Translate complex datasets into actionable insights for client decision-making.
Gather, cleanse, and parse data to ensure accuracy in reporting.
Utilize machine learning and artificial intelligence tools to solve global challenges.
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.
Experience with VS Code, GitHub, Jira, or Confluence (preferred).
Experience with data gathering, cleansing, and parsing (preferred).
Knowledge of DoD intelligence processes, activities, standards, and analytic tools; ability to work in Windows and Linux OS environments; and a degree in Operations Research, Applied Mathematics, or Data Science (preferred).
Python
Machine Learning
Artificial Intelligence
IoT
Data Analysis
Structured Data
Unstructured Data
VS Code
GitHub
Jira
Confluence
Windows
Linux
Operations Research
Applied Mathematics
Python
R
Machine Learning
Artificial Intelligence
IoT
Statistics
Operations Research
Modeling and Simulation
Linux
Windows
Optimization
Decision Analysis
Advanced Mathematics
Python
R
Machine Learning
Artificial Intelligence
IoT
Statistics
Operations Research
Modeling and Simulation
Linux
Windows
Optimization
Decision Analysis
Advanced Mathematics
Machine Learning
Artificial Intelligence
Natural Language Processing
Python
R
Hadoop
Spark
Kafka
Hive
MySQL
MapReduce
Gurobi
Microsoft Power Apps
SharePoint
Data Visualization
Text Mining
EMR
Advana
Vantage