Data/RF Scientist/Engineer in Odon, IN at Booz Allen Hamilton Inc.

Date Posted: 7/30/2018

Job Snapshot

  • Employee Type:
    Full-Time
  • Location:
    Odon, IN
  • Job Type:
  • Experience:
    Not Specified
  • Date Posted:
    7/30/2018

Job Description

Job Number: R0028298

Data/RF Scientist/Engineer

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 the analysis and interpretation of Electronic Warfare data and imagery. You’ll work closely with your customer 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, characterize data, identify data collection needs, apply machine learning to processing and understanding complex data, build predictive analytics based on machine learning, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help the warfighter better understand the electromagnetic environment 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. 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 supporting the Electronic Warfare mission.
 

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:

-Experience with deep learning frameworks, including algorithm development, sys modeling, stat analysis, and ML

-Ability to apply machine learning tools, algorithms, and techniques to RF signal data collection

-Ability to create data collection and run simulations and models to create machine learning data sets

-Ability to develop data visualization, demonstrations, and presentations for team members and stakeholders

-Ability to perform research and conduct tests covering theoretical applications of ML in EW products

-Ability to complete system integration lab integration through field test events and customer demonstrations

-Ability to collaborate with systems engineers, RF engineers, computer engineers, and test engineers to define system capabilities, data collection needs, and functionality for future EW systems

-Secret clearance required

-BS degree required


Nice If You Have:

-Experience with electronic warfare, radar, signal processing algorithms, cellular technologies, and related technologie

-Experience with the application of high speed CPU or GPU-based data acquisition systems to collect and analyze specialized engineering and technical data

-Knowledge of computational electromagnetics solution methods, including MoM, PO or GO, UTD or GTD, and FDTD

-Ability to program or use  C++ , Python, R-Sequel, MATLAB, TensorFlowetc, Theano, DIGITS, Cuda, NVIDIA, or Amazon Analytic

-Possession of excellent oral and written communication skills, including presentation expertise


Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret 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.

NMC

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