Data Engineer - Multiple Levels (TS/SCI with Poly Required)

A little about us:

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 day in the life: 

• Employ a variety of languages and tools (e.g., scripting languages) to integrate systems.  
• Conduct research and leverage large volumes of data from multiple sources to answer mission and business questions.
• Employ sophisticated analytics, programs, machine learning, and statistical methods to prepare data for use in analytical processes and prescriptive modeling.  
• Explore and examine data for hidden patterns.  
• Automate work through the use of predictive and prescriptive analytics.  
• Develop processes to extract/transform/load (ETL) data between different systems.  
  

What you bring to the table:

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.
• For entry-level data scientists, 0-3 years of experience on Data Science projects.
• For mid-level data scientists, 3-6 years of experience on Data Science projects.
• For senior-level data scientists, at least 6 years of experience on Data Science projects with at least 3 years of experience managing teams.
• A TS/SCI with Polygraph security clearance.

For this particular role, you will also need:    

• Experience in identifying, developing, and deploying new approaches to automate data collection, consolidation, and analysis
• Proven ability to develop and deploy software and scripts needed to collect business-relevant metrics based on enterprise data

These are important skills to have, but not necessarily mandatory:    

• Exceptional interpersonal skills. You know, as in you might not be at the top of the list to be a game show host, but you do like people and enjoy solving problems jointly with your colleagues.
• Experience with Java, C, or other compiled languages
• Comprehensive knowledge of Saturday Night Live sketches (just kidding)
• Experience with SQL/NoSQL, Spark, Hadoop
• Familiarity with Javascript and Scripting
• Familiarity with Docker, GitLab, and React
• Familiarity with Agile processes and structures, and able to work on a software development team

The total package: