Principal​/Sr. Principal Data Scientist

RELOCATION ASSISTANCE:
Relocation assistance may be available CLEARANCE TYPE:
Secret TRAVEL:
Yes, 25% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon.

We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work — and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history.

Northrop Grumman Aeronautics Systems (NGAS) has an opening for a Principal or Sr. Principal Data Scientist to join our team of qualified, diverse individuals. The position requires on-site support located in Palmdale, CA where technology and teamwork come together. The selected candidate will become part of Northrop Grumman’s Manufacturing Engineering Team working in a collaborative environment while promoting a positive and proactive teamwork environment.

Creates architectures/models, applications, statistical reporting, and data analysis to identify trends, drive process improvement, and implement scaled digital solutions. Analysis may have many applications such as to address a business issue or provide a competitive advantage for the organization. Collaborate with engineering and manufacturing teams to develop solutions enabling data driven decisions, standardized digital procedures, and efficient execution.

• Bachelor's degree with 4 years of technical and/or engineering experience, Master's degree with 3 years of engineering experience, OR PhD with 0 years of experience
• Strong understanding of SQL, Python
• Experience in data gathering, cleansing and transformation techniques
• Strong understanding of Mechanical Engineering Concepts/Theory and Production Operations
• Working knowledge of databases (SQL Server, AWS Databases (Dynamo
  
  DB, RDS, or similar)) and schema
• Experience with dashboarding frameworks (Plotly Dash, Panel, Streamlit, Tableau, etc.)
• Experience with modeling and normalizing complex data
• This position requires the ability to obtain and maintain a DOD Secret or Top-Secret Clearance as well as Program Special access within a reasonable period of time, as determined by the company to meet its business needs
• Ability to work 1st shift "5:00am-3:30pm" or any work schedule (times may vary)
• Ability to work for extended periods of time at a workstation on a computer or similar device for up to 10 hours / duration of shift. Occasional extended periods of standing, bending, kneeling
• Ability to travel at least 25% to different sites

• Bachelor's degree with 8 years of engineering experience, Master's degree with 6 years of engineering experience, OR PhD with 4 years of engineering experience
• Strong understanding of SQL, Python
• Experience in data gathering, cleansing and transformation techniques
• Strong understanding of Mechanical Engineering Concepts/Theory and Production Operations
• Working knowledge of databases (SQL Server, AWS Databases (Dynamo
  
  DB, RDS, or similar)) and schema
• Experience with dashboarding frameworks (Plotly Dash, Panel, Streamlit, Tableau, etc.)
• Experience with modeling and normalizing complex data
• This position requires the ability to obtain and maintain a DOD Secret or Top-Secret Clearance as well as Program Special access within a reasonable period of time, as determined by the company to meet its business needs
• Ability to work 1st shift "5:00am-3:30pm" or any work schedule (times may vary)
• Ability to work for extended periods of time at a workstation on a computer or similar device for up to 10 hours / duration of shift. Occasional extended…