
location_onOn-site
As a data scientist at Booz Allen, you will unlock the secrets held within massive datasets, leveraging the possibilities of IoT, machine learning, and artificial intelligence. In an increasingly connected world, you will help turn complex structured and unstructured data into useful information to solve global challenges. From fraud detection and cancer research to national intelligence, your work will span both private and public sectors to find answers in the data.
On our team, you will use your analytical skills to create real-world impact. You will work closely with clients to understand their questions and needs, digging into their data-rich environments to find the pieces of their information puzzle. Collaborating with teammates, you will develop algorithms and systems, utilizing the right combination of tools and frameworks to transform disparate data points into objective answers. Ultimately, you will provide a deep understanding of the data, its meaning, and how it can be used to drive informed decisions.
Join us as we use data science for good. The world can't wait.
As part of our hiring process, we utilize advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. Candidates are expected to be on camera during interviews and assessments, and we reserve the right to take your picture to verify your identity.
We are committed to a fair candidate process based on your own skills and knowledge. While AI is a part of our daily work at Booz Allen, the use of artificial intelligence or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless explicit permission is provided.
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.
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.
Work model: On-site
On-site
Experience in the development of ETL pipelines or algorithms leveraging Python. Experience with DataBricks or Palantir Foundry. Experience with visualization software, including Tableau or Qlik. Experience with GIS software, including QGIS or ArcGIS. Master's degree.
Skills: Data Exploration, Data Cleaning, Data Analysis, Data Visualization, Data Mining, Statistical Programming, Cloud Data Platforms, Machine Learning, Artificial Intelligence, Natural Language Processing.
Education: Bachelor's degree required; Master's degree preferred.