Data Scientist

About the Role

As a Data Scientist at Booz Allen Hamilton, you will unlock insights from data sets, leveraging your fascination with IoT, machine learning, and artificial intelligence (AI). You will help transform complex, structured, and unstructured data into actionable information to address global challenges across various sectors, including fraud detection, cancer research, and national intelligence. You will work closely with clients to understand their needs, analyze data-rich environments, develop algorithms and systems, and utilize appropriate tools and frameworks to provide objective answers and enable informed decision-making.

Key Responsibilities

• Use analytical skills and data science knowledge to create real-world impact.
• Work closely with clients to understand their questions and needs.
• Dig into data-rich environments to find relevant information.
• Develop algorithms and systems.
• Use the right combination of tools and frameworks to turn disparate data points into objective answers.
• Provide a deep understanding of data, its meaning, and its applications.

Requirements & Tech Stack

• Knowledge of data exploration, data cleaning, data analysis, data visualization, data engineering, or data mining.
• Knowledge of statistical and general-purpose programming languages for data analysis.
• Knowledge of the development of algorithms leveraging Python, Typescript, SQL, or NoSQL.
• Knowledge of LLMs, including Retrieval Augmented Generation (RAG) and AI agents.
• Knowledge of machine learning, AI, or Natural Language Processing (NLP).
• Ability to develop predictive data models.
• Ability to perform quantitative analyses.
• Ability to create visualizations of targeted data sources.
• Ability to build robust and scalable data engineering pipelines with varied datasets and data types.
• Ability to work with Maven Smart System (MSS).
• Secret clearance required.
• Scheduled to obtain a Bachelor’s degree by Winter 2026.

Nice to Have

• Experience with distributed data or computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
• Experience with machine learning, AI, or NLP.
• Experience working with logistics optimization models leveraging discrete optimization algorithms and routing models.
• Experience working with geospatial datasets.
• Experience working with logistics or supply chain datasets.
• Experience with visualization packages, including matplotlib, Plotly, Seaborn, or ggplot2.
• TS/SCI clearance with a polygraph.

Compensation

• Projected compensation range: $61,900.00 to $141,000.00 (annualized USD).
• Benefits include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care.
• Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible for Booz Allen’s benefit programs.

Salary is determined by factors including location, education, knowledge, skills, competencies, experience, and contract-specific affordability and organizational requirements.

This posting will close within 90 days from the Posting Date.