Data Scientist
The Opportunity:

As an analytics professional, 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. If you care about moving a mission forward as much as advancing the field of data science, this is the opportunity for you. Your data science knowledge and advising expertise, coupled with an original approach to your work, will help clients and stakeholders make sense of their data and encourage actionable results. We're looking for someone like you to steer complex data exploration and analytics projects through your experience with SQL, R, Python, or other programming language for Department of Defense.

We'll keep you sharp and moving forward in your career with access to online courses and the latest tools and methods and opportunities to develop industry-facing publications and presentations. You'll collaborate with a team that serves missions from end to end.

You Have:

• 6+ years of experience with statistical and general-purpose programming languages for data analysis
• 5+ years of experience with data exploration, data cleaning, data visualization, or data mining
• 5+ years of experience analyzing structured and unstructured data sources
• 4+ years of experience developing predictive data models, quantitative analyses, and visualization of targeted data sources
• 4+ years of experience with natural language processing, text mining, or machine learning techniques
• Ability to be a self-starter, identify opportunities to contribute to a team, and apply critical thinking to a wide variety of problems
• Top Secret clearance
• Bachelor's degree

Nice If You Have:

• 6+ years of experience with data science, dashboard development, data analytics, statistics, or machine learning engineering
• 2+ years of experience using and developing within Maven Smart System
• Experience using object-oriented programming languages, including Python, R, or Java
• Experience with Tableau, SQL, Power BI, Microsoft Access, or Power Query
• Experience collecting, analyzing, and inputting data in shared information systems
• Knowledge of statistical analysis, time series analysis, and optimization
• Knowledge of Department of Defense data environments and the Joint Staff, Combatant Command, or Service headquarters
• Possession of excellent verbal and in written communication skills to effectively communicate complex ideas to senior leaders
• TS/SCI clearance
• Master's degree in Data Science or Analytics

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Top Secret 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 $69,400.00 to $158,000.00 (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.