Predictive Data Analyst — ML & Client Solutions

Booz Allen; North Carolina; On-site; USD 62,000 - 141,000; Full time

Job summary

Booz Allen Hamilton in Camp Lejeune, NC is seeking a Data Analyst who builds predictive models and AI-driven solutions. You will guide a small team of analysts and developers in an Agile environment, work with clients to translate questions into data-driven solutions, and deploy models with stakeholder adoption in mind.

You will apply Python and SQL, data validation, feature engineering, and ML techniques, collaborating with end users to validate requirements and drive mission-critical outcomes.

Qualifications

• Experience developing software or data applications using Python and SQL.
• Experience with data visualization 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
• HS diploma or GED

Skills

Python & SQL

Data visualization

APIs/full-stack

Data modeling

Statistical analysis

Client interaction

ML basics

Education

HS diploma or GED

Bachelor's degree

Tools

Palantir Foundry

Maven

Docker

AWS

React/Node.js/Express

MongoDB

Job description

Booz Allen Hamilton in Camp Lejeune, NC is seeking a Data Analyst who builds predictive models and AI-driven solutions. You will guide a small team of analysts and developers in an Agile environment, work with clients to translate questions into data-driven solutions, and deploy models with stakeholder adoption in mind.

You will apply Python and SQL, data validation, feature engineering, and ML techniques, collaborating with end users to validate requirements and drive mission-critical outcomes.