Data Scientist

About the Role

As a data scientist, you are excited at the prospect of unlocking the secrets held by a data set and fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors—from fraud detection to cancer research to national intelligence—we need you to help find the answers in the data. On our team, you’ll use your analytical skills to help create real-world impact. You’ll work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You’ll work with and learn from your teammates as you develop algorithms and systems. You’ll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers so that your clients can make informed decisions. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used.

Key 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.

Requirements & Tech Stack

• Ability to obtain a Secret clearance.
• Bachelor’s degree.
• 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 in the development of algorithms leveraging R, Python, or SQL and 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 visualization of targeted data sources.
• TS/SCI clearance (Nice to Have).
• Master’s degree (Nice to Have).

Compensation

• Projected compensation range: $62,000.00 to $141,000.00 (annualized USD).