Job Number: R0138601

Data Scientist, Senior
The Challenge:

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 leadership and analytical skills to improve data science and analytics with the Air Force. You'll work closely with your customer to understand their questions and needs, and then dig into their data-rich environment to find the pieces of their information puzzle. You'll mentor teammates, leverage the breadth of data science skills, from visualization to AI/ML, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help the Air Force make informed decisions. You'll provide your customer with a deep understanding of their data, what it all means, and how they can use it. This position is a hybrid role with a combination of working at a Booz Allen office or client site and working remotely.

Join us as we use data science for good in the Air Force.

Empower change with us.

You Have:

-4+ years of experience with using Python, R, Perl, MATLAB, SAS, or SPSS for data analysis
-Experience with machine learning, data visualization, data mining, statistics, or graph algorithms in academic or internship environments
-Knowledge of an object-oriented language, including Python, Java, C++, or C#
-Ability to conduct data gathering, analytical, and problem-solving work
-Ability to lead teams of data scientists in solving client data problems
-Ability to mentor junior data scientists in technical areas and project management
-Secret clearance
-Bachelor's degree

Nice If You Have:

-Experience with data visualization tools, including Tableau, Qlik, and Power BI
-Top Secret clearance
-Master's degree in Data Science, Applied Mathematics, CS, Engineering, Statistics, Physics, Computer Networks, or Operations Research

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.

Build Your Career:

At Booz Allen, we know the power of analytics and we're dedicated to helping you grow as a data analysis professional. When you join Booz Allen, you'll have the chance to:

• access online and onsite training in data analysis and presentation methodologies, and tools like Hortonworks, Docker, Tableau, and Splunk
• change the world with the Data Science Bowl-the world's premier data science for social good competition
• participate in partnerships with data science leaders, like our partnership with NVIDIA to deliver Deep Learning Institute (DLI) training to the federal government

You'll 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 that directly impact your role? You may be able to 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. We'll help you develop the career you want as you chart your own course for success.

We're an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change - no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.