Machine Learning Engineer/Algorithm Designer, Senior

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 leadership and analytical skills to assist in the development and modernization of a Combatant Command’s data analytics. You’ll work closely with mission partners 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 a Combatant Command and its mission partners 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 furthering the missions and goals of the DoD.

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:

-7+ years of experience in a Big Data, analytics, data science, machine learning, or artificial intelligence technical delivery role, 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 programming languages, including Python, R, SQL, or Java

-Experience with Big Data technologies, including HDFS, Hadoop, or Spark

-Experience with manipulating data and ETL in parallel processing and distributed compute environments

-Experience with supervised and unsupervised machine learning algorithms and with designing and executing machine learning models and applications

-TS/SCI clearance required

-BA or BS degree required

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

-Experience with using ArcGIS or other commercial GIS programs for spatial analysis

-Experience with developing applications using API functionality

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

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

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.

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.

#LI-AH1, CJ1

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