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Data Scientist

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Norfolk, VA

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Data Scientist
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Norfolk
Virginia
Data ScientistinNorfolk, VAat**MEMBERS ONLY**SIGN UP NOW***.
Date Posted:8/10/2018
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Employee Type:
Full-Time
Location:
Norfolk, VA
Job Type:
Science
Experience:
Not Specified
Date Posted:
8/10/2018
About Us
About Us
At Booz Allen, we harness our collective ingenuity to solve our clients’ toughest management and technology problems. We work with governments, Fortune 500 corporations, and not-for-profits around the globe, in industries ranging from defense to health, energy to international development. We believe there is no product, code, or strategy that can create progress—only people can. That’s why for more than 100 years we’ve empowered our team: over 24,000 dreamers, drivers, and doers who work together to change the world .
Job DescriptionJob Number: R0033811
Data Scientist
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 analytical skills to add value to the Booz Allen team. 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 develop algorithms, build predictive analytics, apply machine learning, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help your team members 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. Join us as we use data science for good at Booz Allen.
Empower change with us.
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 can expect:
access to online and onsite training in data analysis and presentation methodologies, and tools like Hortonworks, Docker, Tableau, and Splunk
a chance to change the world with the Data Science Bowl—the world’s premier data science for social good competition
participation 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? Take advantage of our tuition assistance, on-site boot camps, 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.
You Have:
-Experience with multiple programming languages, including Python, C , R, MATLAB, or SAS
-Knowledge of various machine learning algorithms, statistics, and mathematics principles
-Ability to learn new programming languages easily
-Active Secret clearance
-BA or BS degree in Mathematics, Physics, CS, Engineering, or Statistics
Nice If You Have:
-Experience with Big Data architecture platforms and extracting information from disparate data sources, then merging them together for analysis
-Knowledge of advanced machine learning capabilities, including gradient boosting, random forests, or convolutional neural networks
-MA or MS degree in Mathematics, CS, Engineering, or a related field preferred; PhD degree in Mathematics, CS, Engineering, or a related field a plus
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.
We’re an EOE that empowers our people—no matter their race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or veteran status—to fearlessly drive change.
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