The Opportunity:
As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence.  In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities.  As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges.  Across private and public sectors—from fraud detection to cancer research to national intelligence—we need you to help find the answers in the data.

You'll serve as part of the Booz Allen Team that supports assessing modernizing and future military capabilities across Combatant Commands. Identify and collect data sources, analyze and extract key data and information, and evaluate and monitor data quality to meet client organization's needs.  You will research, develop, and test data methodologies, and generate cross-functional solutions through the collection, analysis, and visualization of multiple data sets. You'll apply data cleansing skills and data analytics experience by simplifying technical requirements and trends, based on the audience. You'll assist and participate in data validation and cleaning to ensure the quality and integrity of the data. You'll present data findings and recommendations to clients and stakeholders using your knowledge of databases, scripting languages such as SQL, Python, R, and Microsoft Office. You'll establish quantitative and qualitative metrics and key performance indicators to drive technical outcomes. You'll produce data visualization through different tools such as Tableau, Qlik, and Power BI, documenting the processes used to produce visuals. You'll also participate in various program meetings, collaborate with stakeholders, develop documents and briefs, present results and communicate effectively with Joint Force leaders at the GS-15 and O-6 level and above.

You Have: 

• 5+ years of experience implementing good data principles, including data cleaning, preprocessing, and analysis to identify insights and trends
• Experience leveraging R or Python for data transformations
• Experience using Palantir Foundry or Maven Smart Systems to construct pipelines, ontologies, or workshops
• Experience using Microsoft tools such as Excel, Power Apps, Power Automate, or SharePoint
• Experience communicating data insights in both written and verbal forms
• Ability to manage multiple tasks with tight deadlines at the same time
• TS/SCI clearance
• HS diploma or GED

Nice If You Have: 

• Experience collecting requirements and implementing processes or product improvements
• Experience identifying Artificial Intelligence (AI) use cases and training non-technical user on AI
• Knowledge of quantitative data modeling techniques and widely used modeling tools
• Bachelor’s degree in a related field

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.

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. 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 or customer facility, in alignment with your leadership's expectations and the needs of the role.
• Onsite: If this position is listed as onsite, work will primarily be performed full-time at a 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.