Mission-Driven Data Scientist: AI and ML for Global Impact

Booz Allen Hamilton; Alexandria (VA); On-site; USD 78,000 - 176,000; Full time

Job summary

Booz Allen Hamilton is looking for a Data Scientist to uncover insights from large data sets across IoT, ML, and AI initiatives for government and commercial clients. You will build predictive models, explore diverse data sources, and translate findings into actionable decisions.

The role requires 2+ years in data analysis, Python, and ML/NLP, plus an active TS/SCI clearance. Collaboration with clients and a commitment to data-driven problem solving are essential.

Qualifications

• 2+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining.
• 2+ years of experience with Python coding, including for Artificial Intelligence (AI) or Machine Learning (ML) solutions
• 2+ years of experience with statistical and general-purpose programming languages for data analysis
• Experience with software configuration management using Git
• Experience with analyzing structured and unstructured data sources
• Experience with developing predictive data models, quantitative analyses, and visualization of targeted data sources
• Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing
• Active TS/SCI clearance; willingness to take a polygraph exam
• Bachelor's degree

Responsibilities

• Use data science techniques to turn large data sets into actionable insights for clients.
• Develop algorithms and systems for solving real-world problems in various sectors.
• Collaborate with clients and teams to understand questions and data needs and deliver evidence-based answers.

Skills

Data exploration

Python

Statistics

Git

Structured data

Predictive modeling

ML/AI/NLP

TS/SCI clearance

Bachelor's degree

Education

Bachelor's degree

Tools

Git

Job description

Booz Allen Hamilton is looking for a Data Scientist to uncover insights from large data sets across IoT, ML, and AI initiatives for government and commercial clients. You will build predictive models, explore diverse data sources, and translate findings into actionable decisions.

The role requires 2+ years in data analysis, Python, and ML/NLP, plus an active TS/SCI clearance. Collaboration with clients and a commitment to data-driven problem solving are essential.