Principal Data Scientist

Overview

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.

Join Northrop Grumman on our continued mission to push the boundaries of possible across land, sea, air, space, and cyberspace. Enjoy a culture where your voice is valued and start contributing to our team of passionate professionals providing real-life solutions to our world’s biggest challenges. We take pride in creating purposeful work and allowing our employees to grow and achieve their goals every day by Defining Possible.

With our competitive pay and comprehensive benefits, we have the right opportunities to fit your life and launch your career today.

Northrop Grumman Aeronautics Systems (NGAS) has an opening for a Principal Data Scientist to join our team of qualified, diverse individuals. The position requires on-site support located in Palmdale, CA or Clearfield, UT 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.

Data Scientist job duties involve the following:

• Creates data mining architectures/models/protocols, statistical reporting, and data analysis methodologies to identify trends in large data sets. Analysis may have many applications such as to address a business issue or provide a competitive advantage for the organization. Requires strong statistical and data visualization skills.

• Bachelor s degree with 5 years’ experience in engineering or related field OR a Master s degree with 3 years of related experience.
• Strong understanding of SQL, Python, Tableau
• Experience in data gathering, cleansing and transformation techniques
• Strong understanding of Manufacturing 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 2nd shift  4:12pm-2:42am  and 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

• Bachelor s Degree in Computer Science/Data Science/ Mechanical or Aerospace Engineering
• Secret or Top-Secret clearance preferred
• Experience defining solution architecture to drive schedule and cost reductions while maintaining quality
• Hands-on experience with core Python data science tools (Numpy, Pandas, Matplotlib, Sci Kit-Learn, etc.)
• Hands-on experience with deep learning libraries (Tensor Flow, PyTorch, etc.)
• Experience with anomaly detection and synthetic data strategies for machine learning
• Hands-on experience with time series analysis and sequence modeling, constraint optimization
• Experience with Agile development
• Experience developing tools to improve efficiency, eliminate repetitive tasks, and implement new analysis tools/techniques.
• Experience in graph technologies, natural language processing

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