Senior Data Scientist - AI, Stats & ML (TS/SCI)

Booz Allen Hamilton; Aurora (CO); On-site; USD 99,000 - 225,000; Full time

Benefits offered by this job

Health benefits

Tuition assistance

Work-life programs

Paid leave

Job summary

Booz Allen Hamilton is seeking a senior data scientist to turn complex datasets into actionable insights for DoD and IC clients. You will lead algorithm development, guide teammates, and deliver narrative, visual, and written analyses that inform critical decisions.

A TS/SCI clearance is required or must be willing to obtain one. The role emphasizes independent ownership, collaboration with clients, and applying advanced statistical methods across diverse data environments to provide solutions

Qualifications

• Experience developing and applying statistical models and methods to evaluate data.
• Experience working on classified networks and with DoD/IC clients.
• Ability to work independently with minimal oversight and direction.
• Active TS/SCI clearance; willingness to take a polygraph exam.

Responsibilities

• Lead development of algorithms and systems for data-driven insights.
• Collaborate with clients to understand questions and requirements and translate them into data solutions.
• Guide teammates and communicate findings through visuals, reports, and briefings.
• Turn diverse data points into objective answers to advise clients.

Skills

Data science

Statistical modeling

Data visualization

Narrative reporting

Education

Bachelor's degree in a scientific field

Master's degree in a scientific field

Tools

R

Python

SQL/NoSQL

Hadoop

Spark

Job description

Booz Allen Hamilton is seeking a senior data scientist to turn complex datasets into actionable insights for DoD and IC clients. You will lead algorithm development, guide teammates, and deliver narrative, visual, and written analyses that inform critical decisions.

A TS/SCI clearance is required or must be willing to obtain one. The role emphasizes independent ownership, collaboration with clients, and applying advanced statistical methods across diverse data environments to provide solutions