Data Scientist

Booz Allen Hamilton • Marine Corps Base Camp Lejeune, NC

3d • $99,000 - $225,000 • Onsite

About The Position

As a client-facing Data Scientist, you will guide a small team of analysts, developers, and data consumers in a fast-paced Agile environment. You will lead the design, development, and deployment of predictive models, applying machine learning and statistical modeling to structured and unstructured data. Working closely with clients, you will understand their questions and challenges and architect data-driven solutions in data-rich environments. You will build models to predict future outcomes and advise clients on how to use those predictions to support mission success.

Requirements

• Experience developing software or data applications using Python and SQL.
• Experience with data visualization techniques and tools such as Power BI or Tableau.
• Experience with modern web application technologies, APIs, or full-stack development.
• Experience in data validation, feature engineering, and preparing complex data sets for machine learning.
• Experience with data modeling, data integration, data transformation, and analytical workflows.
• Experience working directly with end users to discover requirements, validate solutions, and drive adoption.
• Knowledge of statistical analysis and modeling techniques such as regression, classification, or clustering.
• Secret clearance.
• High school diploma or GED.

Nice To Haves

• Experience with Palantir Foundry and Maven Smart System.
• Experience with React, Node.js, Express, FastAPI, MongoDB, Docker, or AWS.
• Experience developing custom data-driven applications or user interfaces for data input and visualization.
• Experience with Agile methodologies.
• Experience developing real-time or event-driven applications.
• Ability to communicate technical information and recommendations to peers, engineers, and analytic customers.
• TS/SCI clearance.
• Bachelor's degree.

Responsibilities

• Guide a small team of analysts, developers, and data consumers.
• Lead the design, development, and deployment of predictive models for clients.
• Work with clients to understand their questions and challenges.
• Architect data-driven solutions within clients’ data-rich environments.
• Build models to predict future outcomes and advise clients on how to use predictions to support mission success.
• Develop software or data applications using Python and SQL.
• Use data visualization techniques and tools.
• Validate data, engineer features, and prepare complex data sets for machine learning.
• Perform data modeling, integration, transformation, and analytical workflows.
• Work directly with end users to discover requirements, validate solutions, and drive adoption.

Benefits

• Health, life, and disability benefits.
• Financial and retirement benefits.
• Paid leave.
• Professional development.
• Tuition assistance.
• Work-life programs.
• Dependent care.
• Recognition awards for exceptional performance and demonstration of company values. Full-time and part-time employees working at least 20 hours per week on a regular basis are eligible for Booz Allen benefit programs; those below that threshold are eligible for select offerings, excluding health benefits.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: High school or GED