Full Job Description
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 decision-making in the intelligence community. 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 machine learning algorithms, predictive analytics, and web applications to 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 improving decision-making in the intelligence community.
Empower change with us.
Experience with using Python to perform rapid prototyping of data analysis, mining, and data visualization
Experience in working with big data analysis and cloud environments
Experience in developing applications with UI and UX design
Experience with the application of advanced data science and data analytics, including structured, unstructured, or relational and data mining and machine learning techniques
Experience with data visualization and knowledge object creation using Splunk and Tableau a plus
Experience with server systems administration or configuration tasks in Windows or Linux environments
Ability to exhibit flexibility, initiative, and innovation to succeed in an ambiguous and fast-paced environment to compose client deliverable quality documentation, analysis, and reports
TS/SCI clearance with a polygraph
BA or BS in CS, Data Science, Statistics, Mathematics, or Engineering
Nice If You Have:
Experience with Java
Experience with time series and geo-temporal data analysis
Experience with Agile methodologies
Experience with Big Data analytics, including Hadoop, Spark, or TensorFlow, graph analytics, and natural language processing
Possession of excellent oral and written communication skills
Possession of excellent consulting skills
MA or MS degree in CS, Data Science, Statistics, Mathematics, Technology, Science, or Engineering preferred; PhD degree in CS, Data Science, Statistics, Mathematics, Technology, Science, or Engineering a plus
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI with polygraph 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 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
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.