Principal Data Scientist

Northrop Grumman Northrop Grumman · Aerospace · San Diego, CA +1 · Data Science

This role focuses on supporting data analysis efforts within Sustainment Systems Engineering, involving the maintenance and development of data analysis tools, data ingestion, processing, storage, analysis, and visualization of large datasets. It also includes aspects of data architecture, statistical modeling, reporting, and staying updated on cutting-edge data science methodologies for defense contexts. A Secret clearance is required.

What you'd actually do

  1. Maintain, develop, and routinely run a set of data analysis tools to help make data-driven decision making.
  2. Assist with network updates and maintenance of the virtual machines that host the database.
  3. Design scalable data mining pipelines, establish protocols for data ingestion, cleaning, transformation, and storage.
  4. Perform exploratory data analysis, hypothesis testing, and advanced statistical modeling to identify key drivers and associations within heterogeneous data sources.
  5. Stay abreast of cutting edge data science methodologies (e.g., deep learning, reinforcement learning) and evaluate their relevance to defense contexts.

Skills

Required

  • Bachelors degree in a STEM field and at least 5 years of relevant military / professional experience, OR a Master's Degree in a STEM field and at least 3 years of relevant military / professional experience, OR a PhD and at least 1 year of relevant military / professional / academic experience
  • active DoD Secret or higher clearance
  • ability to obtain and maintain Special Access Program (SAP) clearance

Nice to have

  • Specific degree and focus in the Data Science field
  • Demonstrated proficiency with Python, SQL, Tableau, and .DAT file decoding
  • IT Management: understand security patch updates to virtual machine instances on servers hosted on central network
  • Excellent communication: ability to translate complex analytics into clear, actionable insights
  • Self-started in influencing cross functional teams, out-of-the-box problem solving, and driving analytical strategy
  • Proven ability to influence and drive adoption of best practices across teams
  • Capable of reading and understanding system architecture diagrams
  • Keen interest in autonomous air vehicle platforms and its operations

What the JD emphasized

  • Secret or higher clearance
  • Special Access Program (SAP) clearance

Other signals

  • data analysis tools
  • data-driven decision making
  • ingesting, processing, storing, analyzing, and visualizing large data sets
  • deep learning, reinforcement learning