Mission Data Engineer (TS/SCI with Polygraph required)

Culturally, it probably suffices to say that we take our work seriously, but not ourselves. Our leaders have spent time in the trenches and have cursed daylight savings time changes and trailing whitespace as many times as you have. We like to say that we spend 80% of our time cleaning the data...and 20% of our time complaining about cleaning the data. Joking aside, our voices matter, and it is easy to see how our decisions affect the Data Science practice and Red Alpha as a whole. We have a clear vision of where we are headed.

A senior engineer interested in enabling the widespread use of open source intelligence data for end users and data scientists across the intelligence community.

You'd join the effort to expand our Data Lake offering built on top of AWS S3, DynamoDB, and Kubernetes into a community-wide data hub.

The goal is modernization of the unclassified OSINT data layer with new access patterns and services that enable AI/ML enrichments, ETL pipelines, and data discovery and dissemination.

Front-line building out the next-generation scalable data architecture using your knowledge of the AWS ecosystem.

All of our data scientists need the following skills:

Proficiency with a scripting language such as R or Python

Experience with data science techniques and algorithms such as classification, clustering, random forests, deterministic forests (jk), hierarchical modeling, deep learning, Markov Chain Monte Carlo, and others. Note that you do not need to have all of these (we hope you enjoyed our random smattering of techniques…!) but you should be comfortable and capable with several of them and know some others not on this list.

A B.S. Degree in Data Science, Mathematics, Computer Science or related field.