Cyber Risk Management Data Scientist

Booz Allen Hamilton•Alexandria, VA

1d•Onsite

About The Position

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 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 technical skills, we are looking for a strong self‑starter mindset. You need to be comfortable navigating ambiguity, independently driving tasks forward, and proactively seeking out information. 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. 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.

Requirements

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 To Haves

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

Responsibilities

Drafting and managing the documentation needed to enable future analytics, including DSAs, appointment letters, data memorandums, and similar documents.
Develop clear and thoughtful use cases that reflect the operational needs of your client.
Guide teammates and lead the development of algorithms and systems.
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.
Provide a deep understanding of the data, what it all means, and how it can be used.