Data Scientist, Mid

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• Analyze and interpret large datasets, apply machine learning to train predictive models, and turn data into actionable information to solve global challenges in sectors such as fraud detection, cancer research, and national intelligence.
• Collaborate with customers to understand questions and needs, write scripts to integrate data, conduct exploratory data analysis to discover patterns, and use appropriate tools to deliver objective answers for mission partners.
• Provide customers with a deep understanding of their data and how to use it to inform decisions; work in data-rich environments across IC agency contexts.

• You Have: 4+ years of experience in data science, including quantitative analysis, visualization, and processing complex data to create insights.
• Experience using Python to manipulate and analyze data.
• Experience using SQL to conduct complex database queries.
• Experience with ETL procedures and data manipulation.
• Experience with multiple file types including geospatial formats, JSON, and XML; API usage to query systems.
• Experience developing data visualizations, dashboards, or lightweight web applications; ability to communicate insights to audiences with varying technical knowledge.
• TS/SCI clearance.
• Bachelor's degree in Mathematics, Statistics, Computer Science, or Data Analytics.

• Experience using Apache Spark to analyze large datasets from various sources.
• Experience using the Joint Enterprise Modeling and Analytics (JEMA) framework.
• Experience developing Web services or Web applications using Python/Flask or JavaScript.
• Experience working with AI/ML technologies and data systems.
• Experience applying supervised and unsupervised learning for clustering, classification, and dimensionality reduction.
• Knowledge of commercial cloud services used by the IC.
• Master’s degree in Mathematics, Statistics, Computer Science, Data Analytics, or a related technical field.

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.

At Booz Allen, we celebrate your contributions, provide 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 demonstration of our values. Full-time and part-time employees working at least 20 hours a week are eligible to participate in Booz Allen’s benefit programs.

Individuals not meeting the threshold are only eligible for select offerings, not inclusive of health benefits. Visit the Resource page on our Careers site to learn more about our total benefits.

Salary at Booz Allen is determined by factors including location, education, knowledge, skills, competencies, experience, contract-specific affordability, and organizational requirements. The projected compensation range for this position is $77,600 to $176,000 (annualized USD). This posting will close within 90 days from the Posting Date.

Identity verification may be conducted using biometric methods during the hiring process. AI usage in interviews is governed by policy: use of AI tools to assist with responses during interviews is prohibited unless explicit permission is given.

Work model policy: remote, hybrid, or onsite arrangements, with expectations on collaboration and occasional in-person work as required.

All qualified applicants will receive consideration for employment without regard to disability, veteran status, or any other status protected by applicable law.