Data Science Machine Learning Lead in Dayton, OH at Booz Allen Hamilton Inc.

Date Posted: 10/30/2018

Job Snapshot

  • Employee Type:
    Full-Time
  • Location:
    Dayton, OH
  • Job Type:
  • Experience:
    Not Specified
  • Date Posted:
    10/30/2018

Job Description

Job Number: R0041580

Data Science Machine Learning Lead

The Challenge:

As large amounts of data are collected from diverse sources, such as social media, images, video, and sensor feeds, extracting patterns and drawing relationships across them can be challenging. You, however, know how to analyze these types of data, allowing analysts to draw conclusions from the patterns in the data and to ask hard questions, which previously there would have been no hope of answering. We’re looking for you, a data scientist, machine learning engineer, or artificial intelligence specialist who knows how to step back and understand the complex relationships between the business needs, the data, and modeling approaches.  

On our team, you’ll have the opportunity to accelerate innovation in artificial intelligence by working with the military to develop innovative solutions that harness the best technologies to process vast amounts of data, for critical mission systems and decision making. You will apply knowledge of your particular field of specialization towards the assessment of program concepts, research and development activities, or emerging technologies. As a machine learning engineer, leadership and clients will look to your guidance to help them evaluate technical progress, identify risks, and recommend mitigation activities. 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:

-7+ years of experience in an analytics, Big Data, data science, machine learning, or artificial intelligence technical delivery roles, including data scientist, developer, architect, engineer, mathematician, statistician, or machine learning specialist

-5+ years of experience with leading or managing delivery teams, projects, development efforts, or research efforts and traditional and Agile framework project management approaches and constructs.

-3+ years of experience with programming, including machine learning frameworks, such as TensorFlow, Keras, PyTorch, Caffe, and MXNET

-3+ years of experience with business development, client or customer relationship management, proposal development, or grant applications

-Experience with developing effective delivery or research teams, including recruiting, hiring, mentoring, coaching, or managing team members

-Experience with authoring technical content, including whitepapers or peer-reviewed articles

-Ability to communicate results to both technical and non-technical audiences effectively, including presenting to senior executives, industry conferences, technical seminars, or meet-ups

-Ability to obtain a security clearance

-BA or BS degree in Statistics, Machine Learning, Mathematics, CS, Computer Engineering, Industrial Engineering, or Operations Research

Nice If You Have:

-Experience with machine learning techniques and their application, including deep learning, such as CNN, RNN, and transfer learning, NLP, gradient-boosted trees, Neural Machine Translation (NMT), and reinforcement learning

-Ability to show a public Github repository, Blog, or Kaggle account showcasing developed machine learning models

-Active Secret clearance

-MS degree in a Science, Engineering, Mathematics, or related field preferred; PhD degree in a Science, Engineering, Mathematics, or related 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.

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