Job Number: R0057507
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 positively impact your government. You'll work closely with federal agencies to understand their questions and needs, then dig into their data-rich environment to find the pieces of their information puzzle. You'll develop algorithms and apply machine learning techniques by combining tools and frameworks to turn that set of disparate data points into objective answers to help senior government leaders make informed decisions. You'll provide them 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 modernizing our government.
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 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.
-3+ years of experience with one or more statistical and analytical programming languages, including, SAS, Python and R
-3+ years of experience with developing interactive data visualizations for exploratory analysis
-3+ years of experience with writing SQL queries and Microsoft Office Suite
-Experience with source control and dependency management software, including Git or Maven
-Experience with identifying analytic data insights, developing visualizations, and presenting findings to stakeholders
-Knowledge of various machine learning algorithms and their designs, capabilities, and limitations
-Ability to build complex extraction, transformation, and loading (ETL) pipelines to clean, validate, and fuse data together
-Ability to communicate results to technical and non-technical audiences effectively, and carry out complex projects in data science and analytics with minimal supervision
-Ability to obtain a security clearance
-BA or BS degree
Nice If You Have:
-Experience with designing and implementing custom machine learning algorithms
-Experience with graph algorithms and semantic Web
-Experience with designing and setting up relational databases
-Experience with Big Data computing environments, including Hadoop
-MA or MS degree in Mathematics, CS, or a related quantitative field
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
We're an EOE that empowers our people—no matter their race, color, religion, sex, gender identity, sexual orientation, national origin, disability, veteran status, or other protected characteristic—to fearlessly drive change.
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