Data Scientist / Machine Learning (Remote)

Data Scientist, Mid 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 leadership skills and data science expertise to create real-world impact for the Department of Defense (DoD) with Cyber Risk Management. 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 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. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used. This is an onsite position in a SCIF working on a high impact project in a dynamic and collaborative team environment.

Early responsibilities will be centered around drafting and managing the documentation needed to enable future analytics, including DSAs, appointment letters, data memorandums, and similar documents. You will be a critical element in a high performing team with backgrounds ranging from military operations, cybersecurity, strategic policy, operations research, and acquisition program management. Work with us as we use data science for good.

You Have: 6+ years of experience with Python, PySpark, SQL, and Databricks 4+ years of experience with data engineering and analytics, delivering actionable insights and performance metrics Experience building and maintaining automated ETL pipelines leveraging API integrations to efficiently ingest, transform, and deliver data across systems Experience extracting and structuring information from unstructured sources such as reports and documents, into clean, analysis‑ready data Experience mentoring junior analysts Ability to communicate complex technical concepts clearly and effectively to both technical teams and executive stakeholders Ability to travel up to 25% of the time TS/SCI clearance Bachelor’s degree Nice If You Have: Experience using DoD data platforms such as Advana, Qlik, and Maven, for data integration, ingestion, and visualization Experience documenting data analytics processes and maintaining reproducible analytic methods Experience engaging data owners to establish sharing agreements that enable the establishment of data pipelines Experience applying machine learning or natural language processing to operational or intelligence data Experience with DoD and Intelligence Community data ecosystems and collaboration with interagency partners Experience developing data governance frameworks and standards Knowledge of cybersecurity data and analytics Clearance: 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.

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).

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. 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.

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.

Remote: If this position is listed as remote, there may still be