Data Scientist: ML, AI & IoT for Global Impact

Booz Allen Hamilton; Maryland; Hybrid; USD 78,000 - 176,000; Full time

Benefits offered by this job

Health benefits

Tuition assistance

Total compensation package

Job summary

Booz Allen Hamilton is seeking a data scientist to unlock insights from large structured and unstructured data, including IoT and AI applications. You will collaborate with clients to understand their questions, build models, and deliver actionable results that address global challenges across private and public sectors.

You will work on algorithms and data pipelines, applying statistical methods to inform strategic decisions, with the security clearance requirements reflecting the sensitive

Qualifications

• 1+ years of experience in statistics, operations research, or advanced mathematics.
• Experience with R or Python.
• Experience using scientific methods to inform qualitative and quantitative analyses.
• Ability to work effectively in a collaborative and fast-paced environment.
• TS/SCI clearance with a polygraph.
• HS diploma or GED.

Responsibilities

• Apply data science methods to real-world data to generate actionable insights for clients.
• Collaborate with clients to understand questions and translate them into data-driven solutions.
• Develop algorithms and data-processing systems to turn disparate data into objective answers for decision making.

Skills

Statistics / OR / Advanced mathematics

R

Python

Team collaboration

TS/SCI clearance

HS diploma or GED

Education

Bachelor's degree in Operations Research, Applied Mathematics, or Data Science

Tools

Windows

Linux

SQL

Job description

Booz Allen Hamilton is seeking a data scientist to unlock insights from large structured and unstructured data, including IoT and AI applications. You will collaborate with clients to understand their questions, build models, and deliver actionable results that address global challenges across private and public sectors.

You will work on algorithms and data pipelines, applying statistical methods to inform strategic decisions, with the security clearance requirements reflecting the sensitive