Data Scientist: AI/ML Leader Driving Client Solutions

Booz Allen Hamilton; Jacksonville (NC); Hybrid; USD 99,000 - 225,000; Full time

Job summary

Booz Allen Hamilton is seeking a Data Scientist who brings a passion for building predictive models and AI solutions from large structured and unstructured data. You will guide a small team of analysts, developers, and data consumers in an Agile environment, designing, developing, and deploying models for clients and advising on their interpretation and value for mission success.

You will apply machine learning and statistical modeling to real-world problems, transforming data into actionable

Qualifications

• Experience designing, building, or maintaining cloud data environments such as Azure and AWS
• Experience leading or mentoring technical teams of data analysts, engineers, or developers
• Experience with data visualization techniques and tools, including Power BI, Tableau or Microsoft Fabric, and Spark or PySpark for data analysis
• Experience with structured data using tools, including SQL, R, or Python programming languages, data visualization software, and statistical analysis
• Experience transforming data patterns into predictive insights and deploying data driven solutions
• Experience in data validation, feature engineering and preparing complex data sets for machine learning
• Experience building and automating data pipelines and workflows
• Knowledge of statistical analysis and modeling techniques, including regression, classification and clustering
• Secret clearance

Skills

Azure

AWS

Mentoring

Power BI

Tableau

Spark

PySpark

SQL

R

Python

Feature engineering

Data pipelines

Statistical modeling

Regression

Classification

Clustering

Secret clearance

Education

Bachelor's degree

Tools

Power BI

Tableau

Microsoft Fabric

Spark

PySpark

Job description

Booz Allen Hamilton is seeking a Data Scientist who brings a passion for building predictive models and AI solutions from large structured and unstructured data. You will guide a small team of analysts, developers, and data consumers in an Agile environment, designing, developing, and deploying models for clients and advising on their interpretation and value for mission success.

You will apply machine learning and statistical modeling to real-world problems, transforming data into actionable