Data Scientist / Principal 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.

Please note that this opportunity is contingent on program funding. Start dates are determined after funding confirmation.

Northrop Grumman Aeronautics Systems Sector has an opening for a Data Scientist / Principal Data Scientist to join our Digital Strategy & Analytics team. This position is located in Melbourne, Florida.

Are you motivated to work in an environment that will challenge you, force you to continuously innovate, and work on solutions that make a difference for your customers? Northrop Grumman Aeronautics Systems relies on our team to provide the insights needed to drive performance across a broad range of strategic activities. We are looking for a passionate Data Scientist to work on the cutting edge of digital transformation.

You will share in the ownership of the technical vision and direction for advanced analytics systems that change the way we see and use data. We are looking for people who are self-motivated, hardworking, and have demonstrated the ability to find innovative solutions to complex technical problems.

Job Responsibilities:

• Design, develop, and maintain scalable Extract, Transform, and Load (ETL) pipelines utilizing Python and SQL.
• Design, develop, and maintain automated data visualizations in Tableau.
• Data preparation/cleaning, integration, and automation from heterogeneous sources.
• Ensure data integrity and system availability.
• Identify, evaluate, and recommend core technologies and strategies.
• Apply data engineering processes and procedures to manage infrastructure, storage, and transformation of data to enable scalable and performant analytics.
• Drive the adoption and integration of AI/ML into the development pipelines.
• Identify and evaluate emerging AI/ML technologies and trends and recommend their adoption where appropriate.
• Decomposition of user requirements into logical functions/components.

This position can be hired at the Data Scientist or Principal Data Scientist level based on qualifications below.

Basic Qualifications:

• Basic Qualifications for the Data Scientist: Bachelor’s degree in a Science, Technology, Engineering, or Mathematics (STEM) field with at least 2 years of related experience
• Basic Qualifications for the Principal Data Scientist: Bachelor’s degree in a Science, Technology, Engineering, or Mathematics (STEM) field and 5 years of related experience or Master’s degree in STEM and 3 years of experience
• Experience with integration of data from multiple sources
• Experience in optimizing SQL queries and performance tuning data pipelines
• Experience using Python packages for data transformation: pandas, numpy, sqlalchemy
• Experience with AI/ML Python libraries such as TensorFlow or PyTorch
• Experience developing and presenting data visualizations for scientific 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.

Preferred Qualifications:

• Master’s degree in a STEM field with relevant experience
• ETL techniques and frameworks experience
• Experience with Agile Software Development
• Experience with AI/ML Python libraries such as TensorFlow or PyTorch
• Experience with data platform (e.g., Palantir, Databricks, Denodo, etc.) technologies
• Experience with NoSQL Databases (e.g., MongoDB, Neo4J, etc.)
• Experience with AI/ML frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and Keras
• Understanding of a wide range of AI/ML techniques, including deep learning, neural networks, natural language processing, computer visi