Data Scientist, Mid

Booz Allen Hamilton•Usa, DC

About The Position

The Data Scientist will use leadership and analytical skills to improve a client’s data science capability. The role involves working closely with the client to understand questions and needs, analyzing data-rich environments, mentoring teammates, and applying appropriate tools and frameworks to turn disparate data into objective answers that help leadership make informed decisions. The position supports the client’s understanding of its data and how to use it. The work is focused on data science applications, including testing and evaluation of AI and machine learning models, in support of a Department of War or Intelligence Community client. Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; an active TS/SCI clearance is required. The role also requires willingness to take a polygraph exam. During interviews and assessments, candidates are expected to be on camera, and AI assistance with interview responses is prohibited unless explicitly permitted. The projected annual compensation range is $77,600 to $176,000. Compensation depends on factors including location, education, skills, competencies, experience, contract affordability, and organizational requirements. Benefits include health, life, disability, financial and retirement benefits, paid leave, professional development, tuition assistance, work-life programs, dependent care, and recognition awards. Posting closes within 90 days from the posting date.

Requirements

Experience collaborating in teams.
Experience supporting Department of War or Intelligence Community clients.
Ability to perform testing and evaluation of AI and machine learning models.
Active TS/SCI clearance and willingness to take a polygraph exam.
Bachelor’s degree in Statistics, Data Science, Computer Science, or Social Science and at least 3 years of experience in a statistics, data science, computer science, or social science field; alternatively, at least 4 years of experience in one of those fields in lieu of a degree.
Eligibility for access to classified information, subject to a security investigation.
Candidates must be on camera during interviews and assessments.
Use of AI or other tools to assist with interview responses is prohibited unless explicitly permitted.

Nice To Haves

Experience with GEOINT or large language models (LLMs).
Experience performing or supporting all-source analysis.
Excellent verbal and written communication skills.
Excellent interpersonal skills.
TS/SCI clearance with a polygraph.
Master’s degree in Quantitative Social Science, Statistics, Data Science, or Computer Science preferred.
Doctorate degree in Quantitative Social Science, Statistics, Data Science, or Computer Science is a plus.

Responsibilities

Collaborate with the client to understand their questions and needs.
Analyze data-rich environments to identify useful information and solve problems.
Mentor teammates.
Use suitable tools and frameworks to turn disparate data points into objective answers that help leadership make informed decisions.
Help the client understand its data and how it can be used.
Perform testing and evaluation of AI and machine learning models.