Staff Data Scientist

RELOCATION ASSISTANCE: Relocation assistance may be available

CLEARANCE TYPE: Secret

TRAVEL: Yes, 10% 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.

The Northrop Grumman Microelectronics Center (NGMC) within Northrop Grumman Mission Systems is seeking an exceptionally talented, motivated, and creative Staff Data Scientist for our Advanced Technology Lab (ATL) - located outside of Baltimore, Maryland - where we develop, design, manufacture, and test novel technologies.  

 

ATL’s semiconductor foundry provides unique leading-edge capability in microelectronic devices including semiconductors (Silicon, Gallium Arsenide, Gallium Nitride, Silicon Carbide) and superconductors. Our devices have enabled multiple generations of Northrop Grumman’s radar and space systems, among others.

 

Join us for the chance to work with an amazing, experienced, and talented team while helping serve your country. Enjoy the opportunity to grow and learn through a variety of challenging projects in R&D, ongoing long-term programs, and new programs targeting future military platforms.

The selected candidate should have an aptitude for technology development, be resourceful and be strong team participants, as well as demonstrating an ability to communicate well with others.

 

 

Job Responsibilities

• Design, develop, and maintain scalable Extract, Transform, and Load (ETL) pipelines utilizing Python and SQL.

• Data preparation/cleaning, integration, and automation from heterogeneous sources.

• Design, develop, and maintain automated data visualizations for example in Tableau.

• Ensure data integrity and system availability.

• Identify and evaluate emerging AI/ML technologies and trends and drive their adoption where appropriate.

#NGATL

 

Basic Qualifications

•  Bachelor’s Degree in Physics, Materials Engineering, Electrical Engineering, Computer Engineering, Data Science or any related degree with 12 years technical related experience in microelectronics industry, or Master’s Degree with 10 years experience; PhD with 8 years experience

• Knowledge of data gathering, cleansing and transformation techniques

• Experience with common data science toolkits such as TensorFlow and PyTorch.

• Fluent with Python or Matlab.

• Knowledge of best practices in data analysis.

• Your ability to transfer and maintain the final adjudicated government secret clearance and any program access(es) required for the position within a reasonable period of time, as determined by the Company.

• Ability to obtain Secret-level clearance  

• US Citizenship required

 

Preferred Qualifications

• Experience with computer vision including image classification

• Extract, Transform & Load (ETL) techniques and frameworks experience

• Experience researching and developing novel AI methods especially in Foundational AI.

• Familiarity with Deep Reinforcement Learning, including Multi-Agent

• Domain knowledge in sensing, microelectronics or semiconductor fabrication.

• Experience with data platforms (e.g., Palantir, Databricks, Denodo, etc.)

• Project / Program Management skills (proposal creation, scheduling, budget tracking)

• Ability to obtain TS/SCI clearance

• Ability to travel 10-15% of the time

 

Primary Level Salary Range: $179,600.00 - $269,400.00

The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.

Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonu