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 (AI). 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. 

On our team, you’ll use your leadership skills and data science expertise to create real-world impact. You’ll work closely with clients to understand their questions and needs and then dig into their data-rich environments to find the pieces of their information puzzle. You’ll guide teammates and lead the development of algorithms and systems. You’ll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used.  

Work with us as we use data science for good.  

Join us. The world can’t wait.

You Have:

• 3+ years of experience with data exploration, data cleaning, data visualization, or data mining 
• 3+ years of experience with statistical and general-purpose programming languages for data analysis 
• Experience analyzing structured and unstructured data sources  
• Experience developing predictive data models, quantitative analyses, and visualization of targeted data sources
• Experience working with AWS cloud services such as S3, EC2, Lambda, or SageMaker
• Experience with GenAI technology and MLOps
• Active TS/SCI clearance; willingness to take a polygraph exam
• Bachelor's degree and 3+ years of experience with data analytics, or 7+ years of experience with data analytics in lieu of degree

Nice If You Have:

• Experience with the development of algorithms leveraging R, Python, SQL, or NoSQL 
• Experience with JupyterHub and Jupyter Notebook
• Experience with machine learning, AI, or NLP 
• Experience applying and querying SIGINT, GEOINT, OSINT, and HUMINT data sets and databases
• Experience deploying or scaling data science or MLOps workflows in AWS environments
• Experience leading a team, including projects and deliverables 
• Experience leading the development of solutions to complex programs 
• TS/SCI clearance with a polygraph
• ​AWS Certification such as Solutions Architect or Machine Learning Specialty Certification

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, 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.