Data Scientist in Reston, VA at Booz Allen Hamilton Inc.

Date Posted: 9/17/2018

Job Snapshot

  • Employee Type:
    Full-Time
  • Location:
    Reston, VA
  • Job Type:
  • Experience:
    Not Specified
  • Date Posted:
    9/17/2018

Job Description

Job Number: R0028604

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 leadership and analytical skills to improve the military operations 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 mentor teammates, develop algorithms, write scripts, build predictive analytics, use automation, 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 our military leaders 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. As a technical leader, you’ll identify new opportunities to use data science solutions to help your customers meet their toughest challenges.  Join us as we use data science for good in support of operations. 


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.


You Have:

-2+ years of experience as a developer of Java, Python, R, or other high-level languages

-2+ years of experience with designing novel data analytic methods and workflows, including full data pipelines from raw data through analysis results

-2+ years of experience with managing disparate data sources with varying data structures of content, and preparing these for data science and machine learning applications

-Experience in working with big data storage, processing, and computation, including one or more of Accumulo, Spark, Storm, Kafka, and MapReduce

-Ability to both manage and manipulate large data sets, develop data science approaches, and manage data science tasks

-Ability to leverage a wide variety of data science capabilities and languages

-Ability to exhibit flexibility, initiative, and innovation when dealing with ambiguous and fast-paced situations

-TS/SCI clearance

-BA or BS degree


Nice If You Have:

-Experience with developing Java applications, including Apache Spark applications in Java

-Experience with using UNIX or Linux systems, including command-line operation

-Experience with statistical modeling and rigorous statistical inference

-Experience with machine learning algorithm development and application

-Experience in Natural Language Processing or machine learning techniques for processing and analysis of unstructured text

-Experience with professional software development practices, including DevOps and Agile development

-Experience with intelligence or operations analysis in the DoD or intelligence community

-Security+ or CISSP and DoD 8570 Compliance Certifications


Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI 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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