Data Scientist

Data Scientist

The Opportunity:
As a Data Scientist at Booz Allen Hamilton, you will serve as both the primary intake point for requirements and the developer responsible for transforming those requirements into modern, automated, data‑driven solutions. You will work across multiple teams to address organizational data challenges holistically — from assessing raw data sources and modernizing storage solutions, to identifying inefficiencies, improving data quality, and developing scalable, automated workflows. You will design and build end‑to‑end data solutions within the provided ecosystem, ensuring data is captured, structured, stored, transformed, and delivered in a way that supports mission needs. Your role directly enables the organization to mature its data environment, reduce dependency on manual processes, and prepare for emerging capabilities in automation and AI.

This role demands strong self‑management, technical agility, and the ability to translate stakeholder needs into actionable development tasks. You will work in an agile environment, driving transparency through prioritization, development tracking, and frequent updates to stakeholders.

Join us. The world can’t wait.

You Have:

• Experience with gathering, analyzing, and translating requirements into technical, data‑driven solutions

• Experience with working in the Microsoft 365 environment, including Power Apps, Power Automate, Power BI, or SharePoint

• Knowledge of designing end‑to‑end data workflows, including ingestion, structuring, storage, transformation, or delivery

• Knowledge of modernizing data storage solutions and improving data quality, lineage, and accessibility

• Knowledge of data life cycle concepts and modern data architecture principles

• Ability to identify process inefficiencies and develop scalable, automated workflows

• Ability to work with both structured and unstructured data

• TS/SCI clearance

• Bachelor’s degree

• Scrum Master or Product Owner certification

Nice If You Have:

• Experience with developing in Palantir Foundry or similar low/no‑code platforms

• Experience with Dataverse, SQL‑based environments, or other structured data storage platforms

• Experience with enterprise data governance, metadata management, or data cataloging

• Experience with developing solutions within Microsoft 365 environments at an organizational scale

• Experience with Special Operations Community

• Ability to advise leadership on data strategy, digital modernization, and long‑term data/AI readiness

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 is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.

• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

• Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.