Remote Senior Data Scientist, ML & Cloud Solutions

Booz Allen Hamilton; Marine Corps Base Camp Lejeune (NC); On-site; USD 99,000 - 225,000; Full time

Job summary

Booz Allen Hamilton is seeking a Data Scientist to design, build, and deploy predictive models across client environments. You will lead a small team of analysts, developers, and data users in an Agile setting to transform structured and unstructured data into actionable insights and ML solutions.

The role requires cloud data experience (Azure, AWS), strong data visualization skills, and proficiency in SQL, Python, and R.

Qualifications

• Bachelor's degree in a related field.
• Experience designing and maintaining cloud data environments (Azure, AWS).
• Experience leading or mentoring technical teams.
• Proficient in data visualization tools: Power BI, Tableau, or Microsoft Fabric.
• Proficient with SQL, R, or Python for data analysis.
• Experience building and deploying predictive models and ML solutions.
• Experience data validation, feature engineering, and preparing complex data sets.
• Experience building and automating data pipelines.
• Knowledge of regression, classification, and clustering.
• Must have Secret clearance or ability to obtain clearance.

Responsibilities

• Lead design, development, and deployment of predictive models for clients.
• Guide a small team of analysts, developers, and data consumers.
• Architect data-driven solutions within client data environments.
• Advise clients on interpretation of predictions and usage.

Skills

Cloud data environments

Team mentoring

Data visualization

Python

SQL

R

Statistical modeling

Machine learning

Communication with clients

Education

Bachelor's degree

Master's degree

CAP Certification

TS/SCI clearance

Tools

Power BI

Tableau

Microsoft Fabric

Spark

PySpark

SQL

R

Python

Job description

Booz Allen Hamilton is seeking a Data Scientist to design, build, and deploy predictive models across client environments. You will lead a small team of analysts, developers, and data users in an Agile setting to transform structured and unstructured data into actionable insights and ML solutions.

The role requires cloud data experience (Azure, AWS), strong data visualization skills, and proficiency in SQL, Python, and R.