Principal Data Scientist

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 has an opening for a Principal Data Scientist to join our team of qualified, diverse individuals. This position will be located in Palmdale, CA

Embark on a career putting innovative, reliable, and agile products and ideas into orbit, and beyond. Northrop Grumman has opportunities waiting for you that play a vital role in human space exploration, national defense, and scientific discovery, supporting multiple programs across the universe. With us, you'll discover a culture of curiosity and collaboration that will have you Defining Possible from the day you start. Our Aeronautics sector connect and protect millions of people on earth every day, now and for the future. Explore your future and launch your career today.

The candidate will be responsible for the following:

• Analyze multiple data sources in detail to identify trends and patterns using engineering fundamentals.
• Interpret data, analyze results using statistical techniques and provide ongoing reports.
• Summarize and socialize data, make conclusions, and provide direction on problems identified.
• Identify, evaluate, and recommend core technologies and strategies
• Excellent attention to detail.
• Capable of peer reviewing and applying more advanced visualization concepts

As a full-time employee of Northrop Grumman Space Systems, you are eligible for our robust benefits package including:

• Medical, Dental & Vision coverage
• 401k
• Educational Assistance
• Life Insurance
• Employee Assistance Programs & Work/Life Solutions
• Paid Time Off
• Health & Wellness Resources
• Employee Discounts

This positions standard work schedule is a 9/80. The 9/80 schedule allows employees who work a nine-hour day Monday through Thursday to take every other Friday off. This role may offer a competitive relocation assistance package.

Basic Qualifications ( Principal Data Scientist ):

• 5 Years with Bachelors in Science; 3 Years with Masters; 0 Years with PhD;
• Ability to obtain a DoD Secret clearance and Special Program Access.
• Familiarity with JavaScript, Flask/Django and/or Bootstrap.
• Knowledge of data gathering, cleansing and transformation techniques.
• Familiarity with common data science toolkits such as Python/R.
• Understanding of Agile Software Development.

Preferred Qualifications:

• Hands-on experience with core Python data science tools (Numpy, Pandas, Matplotlib, SciKit-Learn, etc.)
• Hands-on experience with deep learning libraries (TensorFlow, PyTorch, etc.)
• Knowledge of single-board computers (Raspberry Pi, Jetson) and microcontrollers (Arduino).
• Experience with anomaly detection and synthetic data strategies for machine learning.
• Knowledge of databases (SQL Server, AWS Databases (DynamoDB, RDS, or similar)) and schema. Data engineering skillsets.
• Experience with Generative AI tools and frameworks (Stable Diffusion, GPT, HuggingFace, etc.)
• Experience with computer vision (CNN, Transformer architectures) and image/video data preparation for machine learning.
• Hands-on experience with time series analysis and sequence modeling.
• Experience configuring and extracting data from mixed-reality platforms (HoloLens 2).
• Expertise with Cloud environments (Azure, AWS-SageMaker, S3, etc.)
• Hands-on experience with sensor deployments (IoT sensors) and automating data collection and processing in industrial settings.
• Experience with rendering engines (Blender) or game engines (Unity, Unreal).
• Experience with dashboarding frameworks (Plotly Dash, Panel, Streamlit, Tableau, etc.)
• MLOps knowledge and experience executing the full machine learning lifecycle. Agile development.

Hands-on experience establishing applied machine learning best practices and achieving functional excellence.

Salary Range: $115,200 USD - $172,800 USD

Employees may be eligible for a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.

The health and safety of our employees and their families is a top priority. The company encourages employees to remain up-to-date on their COVID-19 vaccinations. U.S. Northrop Grumman employees may be required, in the future, to be vaccinated or have an approved disability/medical or religious accommodation, pursuant to future court decisions and/or government action on the currently stayed federal contractor vaccine mandate under Executive Order 14042 https://www.saferfederalworkforce.gov/contractors/ .

Northrop Grumman is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO/AA and Pay Transparency statement, please visit http://www.northropgrumman.com/EEO . U.S. Citizenship is required for most positions.