Computer Vision/Machine Learning Scientist in McLean, VA at Booz Allen Hamilton Inc.

Date Posted: 10/19/2018

Job Snapshot

  • Employee Type:
    Full-Time
  • Location:
    McLean, VA
  • Job Type:
  • Experience:
    Not Specified
  • Date Posted:
    10/19/2018

Job Description

Job Number: R0038315

Computer Vision/Machine Learning 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 improve national security. 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 research and apply machine learning strategies to solve complex problems, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help our clients, and 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 in the area of national security.

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:

-5+ years of experience with developing software in object-oriented and scripting languages, including MATLAB, C/C++, or Python

-Experience with machine learning, image processing, signal processing, or computer vision

-Experience with research, including developing, designing, and executing research plans

-Ability to obtain a security clearance

-BA or BS degree required

Nice If You Have:

-Experience with Computer Vision and Machine Learning software packages, including OpenCV, DLIB, Caffe, and TensorFlow

-Experience with integrating commercial software tools for custom application development

-Possession of excellent oral and written communication skills

-Possession of excellent entrepreneurial thinking, innovation, and real-world problem-solving skills

-MA or MS degree in an Engineering or Science field preferred; PhD degree in an Engineering or Science 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.

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.

NMC

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