Cyber Risk Management Data Scientist

Cyber Risk Management 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 artifi cia l 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 guide teammates and lead the development of algorithms and systems. 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. In addition to strong

, we are looking for a strong self-starter mindset. You need to be comfortable navigating ambiguity, independently driving tasks for war d, and proactively seeking out information. Early

will be center ed around drafting and managing the documentation needed to enable future analytics, including DSAs, appointment letters, data memorandums, and similar documents. There's also a need to develop clear and thoughtful use cases that reflect the operational needs of your client. 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. Join us. The world can't wait. 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 met rics • 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 met hods • Experience e nga ging 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: Applicants selected will be subject to a security investigation and may need to meet eligibility