Data Scientist
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 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 a seasoned data scientist like 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 and mentor your team as you oversee 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. As a technical leader, you'll identify new opportunities to use data science solutions to help your clients meet their toughest challenges. 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:

• 5+ years of experience using data science programming languages, such as Python or R
• Experience creating ETL pipelines, including querying APIs, cleaning and conditioning data, and creating schemas for data storage
• Experience with version control tools, including Git, GitLab, GitHub, or Bitbucket
• Knowledge of statistical analysis, predictive modeling, and machine learning methods
• Ability to design and develop automated analytic software, techniques, and algorithms
• Ability to develop solutions, integrate, and extend free and open-source software (FOSS) or COTS products
• Ability to generate data visualizations with tools, such as Kibana, Tableau, or Power BI
• TS/SCI clearance
• Bachelor's degree

Nice If You Have:

• Experience working with GEOINT, HUMINT, MASINT, OSINT, and SIGINT, and the data and tools associated with these disciplines
• Experience with intelligence or operations analysis in the DoD or Intelligence Community
• Experience in the development of algorithms leveraging R, Python, or SQL and NoSQL
• Experience working with Retrieval-Augmented Generation (RAG) and Large Language Models (LLM)
• Experience with visualization packages, including Plotly, Seaborn, or ggplot2
• Knowledge of DevOps, including CI/CD pipelines and Jenkins
• TS/SCI clearance with a polygraph

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

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 $112,800.00 to $257,000.00 (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.