This role pays less than
70%
of similar roles. Most pay
$126,800–$196,387
— the shaded band above.
At the midpoint, this role pays about
$127k
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
802 open roles
on FindRole.
Listed pay typically runs
$86,800–$198,000
across 783 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 across the public and private sectors. You will work closely with clients to identify their specific needs, then develop algorithms, systems, and automated analytic software to provide objective answers from disparate data points. Your daily responsibilities include creating ETL pipelines, querying APIs, cleaning data, and designing schemas for storage. The role requires proficiency in Python or R, experience with Amazon Web Services, and version control tools like Git, GitLab, GitHub, or Bitbucket. You will apply statistical analysis, predictive modeling, and machine learning methods to address problems such as fraud detection and cancer research. Candidates must possess a TS/SCI clearance with a polygraph and have expertise in integrating free and open-source software.
What does a Data Scientist earn?
Median $162025 from 276 postings across 61 companies.
Analyze complex structured and unstructured datasets to identify actionable insights for clients.
Develop algorithms and systems using Python or R to solve specific client problems.
Create ETL pipelines including API querying, data cleaning, and schema creation for storage.
Perform statistical analysis, predictive modeling, and machine learning to provide objective answers.
Design and develop automated analytic software and techniques.
Integrate and extend free and open-source software or COTS products into existing solutions.
Translate complex data findings into clear explanations to help clients make informed decisions.
What we're looking for
TS/SCI clearance with polygraph.
Bachelor’s degree and 3+ years of experience in data science, or 7+ years of experience in data science in lieu of a degree.
5+ years of experience using data science programming languages such as Python or R.
2+ years of experience with Amazon Web Services (AWS).
Experience creating ETL pipelines, including querying APIs, cleaning and conditioning data, and creating schemas for data storage.
Experience with version control tools, including git, GitLab, GitHub, or Bitbucket.
Experience with statistical analysis, predictive modeling, or machine learning methods.
Ability to design and develop automated analytic software, techniques, and algorithms; experience with FOSS/COTS integration (preferred); Master's degree (preferred).