The Challenge:

Are you an analytics professional who wants to be at the cutting-edge of data science and artificial intelligence? If you care about moving a mission forward as much as advancing the field of data science, this is the opportunity for you. You will research and develop new computer vision technologies for rapidly labeling data for imagery analysis, as well as develop novel neural network architectures for interactive synthetic data generation. You will analyze properties and performance of neural network architecture and resulting synthetic data. We will rely on your expertise to evaluate neural network architectures and synthetic data through experimentation. You will lead development of proof-of-concept and prototype implementations of neural network architectures on relevant domain data. We’re looking for someone like you to lead complex data exploration and analytics projects where you will leverage your expertise with TensorFlow, PyTorch, and training neural network architectures. We need someone like you with strong programming skills, strong math skills, expertise in scripting for data processing and analysis.

As an advanced data scientist/researcher on our team, you’ll learn, develop, and apply data analytic capabilities and machine learning architectures for AI research on decision support tools for the future tactical network of sensors, vehicles, and dismounted users. You’ll grow your skills and shape the future of analytics through a variety of means like peer-reviewed papers, major conference presentations, code submissions.

Join us. The world can’t wait.

You Have:

• Experience with with Linux and jupyter
• Experience with Python
• Experience with TensorFlow, PyTorch, and training neural network architectures, including Generative Adversarial Networks (GAN)
• Experience with numerical linear algebra, machine learning, data structures, or high performance computing
• Experience in scripting for data processing and analysis, in R, Python, or MATLAB
• Secret clearance
• Master's degree in Computer Science, Engineering, Physics, Math, or Statistics

Nice If You Have:

• Experience with C, C++, Java, CUDA, OpenCL
• Experience with existing machine learning algorithms, or built mathematical & statistical models for data mining purposes
• Experience using data management, distributed data processing technologies such as Hadoop, Hive, Spark, NiFi, Hbase, Hortonworks, Cloudera, DataBricks
• Ability to work with data visualizations using JavaScript, R/Shiny, Python/Dash
• Doctorate degree in Computer Science, Engineering, Physics, Math, or Statistics

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

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’ll have the chance to:

• access online and onsite training in data analysis and presentation methodologies and tools like Hortonworks, Docker, Tableau, and Splunk
• change the world with the Data Science Bowl—the world’s premier data science for social good event
• participate 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 that directly impact your role? You may be able to 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.

We’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.