Data Scientist

Data Scientist

The Opportunity:

We are seeking a highly motivated Data Scientist to support USAFRICOM, driving impactful, data-driven decision-making through the application of advanced analytics and data engineering best practices. In this role, you will process, store, and quantitatively exploit Publicly Available Information (PAI) and Commercially Available Information (CAI), developing and implementing machine learning models and automated analytics across multi-source datasets. You will conduct exploratory data analysis (EDA), perform large-scale data queries, and build scalable ETL pipelines using tools/languages such as Python, Spark, Synapse, and Neo4j in an Azure cloud environment to transform complex data into actionable insights. A core responsibility includes ensuring compliance with data security, regulatory requirements, and Intelligence Community tradecraft standards while maintaining high data quality.

You will clean, organize, integrate, and maintain data models and develop dynamic visualizations, dashboards, and reports that clearly communicate findings to both technical and non-technical stakeholders. Working closely with military personnel, partner nations, policymakers, and cross-functional teams, you will identify data needs, translate requirements into analytical solutions, and deliver fused intelligence products that support mission objectives. You will document analytic methodologies, balance accuracy with operational timelines, and provide formal and informal briefings, presentations, and decision-support materials. Additionally, you will conduct customer outreach, track stakeholder satisfaction, and contribute to reporting and accountability mechanisms.

As a subject matter expert in data analysis and PAI and CAI, you will research and recommend emerging tools, techniques, and technologies to enhance analytical capabilities. You will participate in national and international meetings, committees, and evaluations of analytical tools and software, supporting continuous improvement of mission systems. This role requires adherence to strict security protocols, including Intelligence Community directives and operational security measures, and may involve the use of advanced collection techniques within approved environments. You will leverage the ability to operate independently, synthesize complex information into clear insights, and deliver high-quality analytical products in support of strategic and operational priorities.

Join us. The world can't wait.

You Have:

• 4+ years of experience in data engineering, including ETL development, data modeling, data integration, and geospatial datasets
• 4+ years of experience using big data technologies, such as Spark, Elastic, or Snowflake
• Experience with programming languages such as Python
• Experience working within the IC and DoD joint environment
• Knowledge of automation, artificial intelligence (AI), and machine learning (ML) techniques
• Ability to manage multiple projects on tight deadlines while clearly conveying technical concepts to non-technical audiences
• Ability to work collaboratively across teams to achieve objectives, and translate stakeholder needs into actionable solutions
• TS/SCI clearance
• HS diploma and 8+ years of experience in mathematics, statistics, or data science, or Associate's degree in Mathematics, Statistics, Engineering, or Data Science and 4+ years of experience in mathematics, statistics, or data science

Nice If You Have:

• Experience with intelligence oversight policies and data governance standards
• Experience with cloud-based data solutions in the Azure ecosystem
• Experience with graph databases like Neo4j or Cosmos DB
• Experience with natural language processing (NLP) and automated analytics
• Experience implementing ML or AI solutions
• Possession of excellent analytical skills, for querying and interpreting large data sets
• Possession of excellent verbal and written communication skills
• Possession of excellent organizational and client-facing skills
• Bachelor's degree in Mathematics, Statistics, Engineering, or Data Science

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.

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 $99,000.00 to $225,000.00 (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.

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.