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Data Scientist, Lead in McLean, VA at Booz Allen Hamilton Inc.

Date Posted: 6/13/2019

Job Snapshot

  • Location:
    McLean, VA
  • Job Type:
  • Experience:
    Not Specified
  • Date Posted:
    6/13/2019
  • Employee Type:
    Employee

Job Description

Job Number: R0054443

Data Scientist, Lead

The Challenge:

Are you excited at the prospect of unlocking the secrets held by a data set? Are you fascinated by the possibilities of applying the latest advances in machine learning and natural language processing to search and unstructured information? In an increasingly connected world, massive amounts of structured and unstructured data open up new opportunities. As a search and data engineer, 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 strategic innovation and apply the latest advances in data mining to search and information retrieval for large scale unstructured and structured data using machine learning and natural language processing. 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 senior leadership 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 strategic innovation.

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 ElasticSearch, 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, onsite 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 in search and information retrieval
  • 5+ years of experience with the application of machine learning and data mining to unstructured data
  • 5+ years of experience with analytics, data engineering, and serving in technical project and team leadership roles
  • 5+ years of experience with programming languages, including Python or Java
  • 3+ years of experience building production scale search engines with ElasticSearch or Solr
  • Experience with natural language processing and speech recognition
  • Experience in managing disparate data sources with varying data structures of content and preparing these for data science and machine learning applications
  • Ability to obtain a security clearance
  • BA or BS degree

Nice If You Have:

  • Experience with Cloud technologies, including Amazon Web Services (AWS)
  • Experience with deploying applications in a Cloud environment
  • Experience with building natural language processing models using modern deep learning techniques
  • Experience with developing solutions and integrating, extending, and contributing to open source software
  • Experience with build and release automation tools
  • Experience with container, container orchestration technology, Docker, Kubernetes, or OpenShift
  • BA or BS degree in Statistics, Mathematics, Engineering, Economics or a related field preferred; MS or 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.

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.

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