This role pays less than
62%
of similar roles. Most pay
$126,800–$188,050
— the shaded band above.
At the midpoint, this role pays about
$127k
versus about
$157k
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.
Data Scientist, Mid joins the team to transform complex structured and unstructured data into actionable information to solve global challenges across private and public sectors. The role involves collaborating with clients to identify their needs, developing algorithms and systems, and utilizing various tools and frameworks to turn disparate data points into objective answers for informed decision-making. Key responsibilities include building advanced analytics and AI/ML models, specifically those leveraging LLMs or agentic AI, including tasks like data retrieval, cleaning, modeling, accuracy evaluation, and visualization. The position requires proficiency in mathematics, statistics, information science, probability modeling, and data engineering. Candidates should be skilled in R, Python, SQL/NoSQL, and distributed computing tools such as Hadoop, Hive, Spark, or Kafka. Experience with Plotly, Seaborn, or ggplot2 is also valued to visualize complex concepts for non-technical leadership.
What does a Data Scientist earn?
Median $162025 from 276 postings across 61 companies.
Develop algorithms and systems using various tools and frameworks to turn disparate data into actionable information.
Build advanced analytics and AI/ML models, including those leveraging LLMs and agentic AI.
Perform data retrieval, cleaning, modeling, accuracy evaluation, and testing for complex datasets.
Translate technical findings into graphical, written, visual, and verbal narrative products.
Visualize complex data and concepts for non-technical leadership to highlight system risks.
Identify "go or no-go" criteria to help clients make informed decisions based on data analysis.
Work within classified networks to support Department of Defense and Intelligence Community clients.
What we're looking for
3+ years of experience correlating complex technical findings into graphical, written, visual, and verbal narrative products.
Experience building advanced analytics and AI/ML models, including LLMs, agentic AI, data retrieval, cleaning, modeling, and evaluation.
Experience working on classified networks in support of DoW or IC clients.
Ability to visualize complex data for non-technical leadership while highlighting system risks and "go or no-go" criteria.
Active TS/SCI clearance and willingness to take a polygraph exam.
Bachelor's degree and 3+ years of experience with scientific techniques like math, statistics, AI, machine learning, or data engineering.
7+ years of experience with scientific techniques such as mathematics, statistics, information science, AI, machine learning, or data engineering in lieu of a degree.
Experience with R, Python, SQL/NoSQL, distributed computing tools (Hadoop, Spark, etc.), and visualization packages (preferred); Master's degree (preferred).