Are you excited at the prospect of unlocking the secrets held by a data set? Are you fascinated by the possibilities presented by the IoT, machine learning, and artificial intelligence advances? In an increasingly connected world, massive amounts of structured and unstructured data open up new opportunities. As a data scientist, you can 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 you know the answers are in the data.
We have an opportunity for you to use your analytical skills to improve the DoD. Youll work closely with your customer to understand their questions and needs, then dig into their data-rich environment to find the pieces of their information puzzle. Youll develop algorithms, write scripts, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help military leaders make informed decisions. Youll provide your customer with a deep understanding of their data, what it all means, and how they can use it. Join us as we use data science for good in the DoD.
Empower change with us.
Build Your Career:
At Booz Allen, we know the power of analytics and were dedicated to helping you grow as a data analysis professional. When you join Booz Allen, you can expect:
Youll have access to a wealth of training resources through our Analytics University, an online learning portal specifically geared towards data science and analytics skills, where you can access more than 5000 functional and technical courses, certifications, and books. Build your technical skills through hands-on training on the latest tools and state-of-the-art tech from our in-house experts. Pursuing certifications? Take advantage of our tuition assistance, on-site bootcamps, certification training, academic programs, vendor relationships, and a network of professionals who can give you helpful tips. Well help you develop the career you want, as you chart your own course for success.
-Experience with programming languages, including Python, C++, Java, or R
-2+ years of experience in industry as a data scientist