This mid-level data scientist role focuses on transforming complex data into actionable insights across diverse sectors, building algorithms and systems, and collaborating closely with clients. A TS/SCI clearance with polygraph is required.

Responsibilities

Apply analytical expertise and data science methods to deliver tangible impact in real-world scenarios.
Partner with clients to clarify questions, explore data-rich environments, and identify the essential information needed to solve problems.
Design and implement algorithms and data systems, selecting appropriate tools and frameworks to convert disparate data points into objective answers that support informed decision making.
Provide deep understanding of the data, its meaning, and potential applications to stakeholders.

Requirements

1+ year 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

Technologies

R, Python

Benefits

Health benefits
Life benefits
Disability benefits
Financial benefits
Retirement benefits
Paid leave
Professional development
Tuition assistance
Work-life programs
Dependent care

Clearance

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph is required.

Compensation

Salary is determined by multiple factors, including location, the candidate's education, knowledge, skills, competencies, experience, contract-specific affordability, and organizational requirements. The projected compensation range is USD 77,600 to 176,000 per year. This posting typically represents the salary range for this role as part of Booz Allen's total compensation package. The posting will close within 90 days from the posting date.

Identity Verification

As part of the hiring process, Booz Allen uses identity verification that leverages advanced biometrics and artificial intelligence to ensure authenticity and reduce identity fraud. Candidates are expected to be on camera during interviews and assessments, and Booz Allen may capture your image for verification purposes.

Candidate AI Usage Policy

AI tools are used in Booz Allen's day-to-day operations, but use of artificial intelligence to assist with interview responses is prohibited unless explicit permission is provided. The process emphasizes evaluating each candidate's own skills and knowledge.

Work Model

Onsite: Work will primarily occur at a Booz Allen office or a customer facility, with collaboration as required by the role.

Hybrid: Regular work from a Booz Allen facility is expected, with potential visits to customer facilities; occasional in-person work may be required to support the role.

Remote: Some tasks may be performed remotely, but there may still be occasions requiring in-person work at Booz Allen or a customer site.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, protected veteran status, or any other status protected by applicable law.

Data Scientist, Mid

Job Description