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 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 analytical skills and data science knowledge to create real-world impact. You’ll work closely with your 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 develop algorithms and systems and use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to help clients 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.

What You’ll Work On:

• Design and configure SharePoint workflows that streamline business processes from document review and approval to records management and content lifecycle operations.
• Manage SharePoint sites, libraries, and permissions to ensure appropriate accesses and controls and security compliance.
• Manage SharePoint sites, configuring permissions and access controls, and ensuring sites aligned with organizational standards and security requirements.
• Create and maintain site templates that promote consistency across the organization, implement retention policies that comply with records management requirements, and coordinate with IT staff on system updates and technical issues.
• Design and implement metadata schemas, content types, and navigation structures that enable effective information discovery and retrieval.
• Establish and enforce naming contentions, folder structures, and access controls for network shared drives.
• Implement cleanup initiatives that remove redundant or obsolete content from shared network resources and develop governance frameworks that guide appropriate use of shared drives versus SharePoint based on content types and collaboration needs.
• Implement version control procedures across both SharePoint and shared drives that maintain document history and support audit requirements.
• Assist in configuring retention policies and lifecycle management rules that ensure compliance with organizational records management standards.
• Establish procedures for archiving and preserving important content while removing expired materials.
• Ensure SharePoint sites and shared drives comply with classification requirements and information security policies.
• Conduct periodic access reviews and permission audits to verify appropriate access controls.
• Implement data loss prevention measures and monitor for security incidents or policy violations across both environments.
• Evaluate new SharePoint capabilities and features for potential organizational application.
• Develop strategies for reducing reliance on legacy shared drive structures in favor of modern SharePoint collaboration approaches.
• Identify opportunities to enhance user experience and information management effectiveness through platform optimization and feature adoption.
• Establish process to capture and preserve institutional knowledge across operational cycles.
• Develop standard operating procedures for knowledge management processes, train new personnel on workflow procedures, promote adoption of best practices across the organization, and manage transitions when implementing new tools or processes.

Join us. The world can’t wait.

You Have:

• 2+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining
• 2+ 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
• TS/SCI clearance with a polygraph
• Bachelor’s degree

Nice If You Have:

• 2+ years of experience in the development of algorithms leveraging R, Python, or SQL and NoSQL
• 2+ years of experience with distributed data or computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL
• 2+ years of experience with Machine Learning, AI, or NLP
• Experience with visualization packages, including Plotly, Seaborn, or ggplot2
• Master’s degree

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 with polygraph 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.