Data Scientist

Booz Allen Hamilton•Stafford, VA

4d•$62,000 - $141,000

About The Position

As a Data Scientist at Booz Allen, you will analyze complex structured and unstructured data to help solve challenges across public and private sectors. You will work with clients to understand their questions and needs, investigate data-rich environments, and collaborate with teammates to develop algorithms and systems. You will select appropriate tools and frameworks to transform disparate data into useful insights, helping clients make informed decisions. The role supports data-driven analysis and business or operational decision-making, with opportunities to work in areas such as fraud detection, cancer research, and national intelligence.

Requirements

Ability to perform data-driven analysis to support financial, operational, or strategic decision-making.
Ability to build, validate, and present analytical insights to cross-functional stakeholders and leadership teams.
Ability to identify process inefficiencies and use data to recommend solutions, optimize workflows, or improve business performance.
Ability to manage and prioritize multiple projects, timelines, and data deliverables in fast-paced environments.
Ability to obtain a Secret clearance.
Bachelor’s degree.

Nice To Haves

Experience with data exploration, data cleaning, data analysis, data visualization, or data mining.
Experience with statistical and general-purpose programming languages for data analysis.
Experience developing algorithms using R, Python, SQL, or NoSQL.
Experience with Palantir Foundry, War Data Platform (WDP), Advana, or Databricks.
Knowledge of structured and unstructured data sources.
Knowledge of machine learning, artificial intelligence, or natural language processing.
Ability to develop predictive data models, quantitative analyses, and visualizations of targeted data sources.
TS/SCI clearance.
Master’s degree.

Responsibilities

Perform data-driven analysis to support financial, operational, or strategic decision-making.
Build, validate, and present analytical insights to cross-functional stakeholders and leadership teams.
Identify process inefficiencies and use data to recommend solutions, optimize workflows, or improve business performance.
Manage and prioritize multiple projects, timelines, and data deliverables in fast-paced environments.
Work with clients to understand their questions and needs and analyze data-rich environments.
Collaborate with teammates to develop algorithms and systems and translate disparate data into objective answers.