Data Scientist, Senior in Alexandria, VA at Booz Allen Hamilton Inc.

Date Posted: 7/13/2018

Job Snapshot

  • Employee Type:
    Full-Time
  • Job Type:
  • Experience:
    Not Specified
  • Date Posted:
    7/13/2018

Job Description

Job Number: R0013325

Data Scientist, Senior

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 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 perform as a data scientist with a focus on application of Bayesian methods to mission problems. Leverage expertise in requirements analysis, installation, integration, evaluation, enhancement, maintenance, testing, and diagnosis or resolution. You’ll use statistical methods and leverage knowledge of large data sets to characterize uncertainty through statistical methods. Apply knowledge of large data set analysis, perform research, and ensure study results are properly interpreted and documented.  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 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:

-5+ years of experience with developing software in Java, C, C++, or other high

-level languages

-3+ years of experience with developing software for UNIX or Linux, including RedHat, CentOS, or Ubuntu

-3+ years of experience with software integration or testing, including analyzing and implementing test plans and scripts

-3+ years of experience with statistical methods, including Bayesian Belief Networks, Machine Learning, or Deep Learning

-Experience with the design and development of object-oriented systems

-Experience with version control systems, including Github or Gitlab

-TS/SCI clearance

-BS degree


Nice If You Have:

-Experience with activity modeling for knowledge capture

-Experience with designing and developing automated analytic software, techniques, and algorithms

-Experience open source technologies including Apache Spark, Apache Storm, Apache Zeppelin, Apache NiFi, Apache Kafka

-Research experience and publications involving Bayesian Belief Networks

-MS degree in CS, Physics, Statistics, or Mathematics preferred; PhD degree in CS, Physics, Statistics, or Mathematics a plus


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.

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