Principal Data Scientist

Northrop Grumman•Palmdale, CA

9d•$125,300 - $187,900•Onsite

About The Position

Northrop Grumman Aeronautics Sector is seeking an experienced Principal Data Scientist to join our team of qualified individuals within our Program Management Office. This position will be located at Palmdale, CA. This is an individual contributor role and is not a management/leadership opportunity. The successful candidate is expected to be a highly motivated, resourceful, self-starter able to work collaboratively with internal and external teams in high-tempo environments. This position will be expected to assist with reviewing status of projects and budgets, resource planning, preparing for and facilitating meetings, and supporting various administrative functions.

Requirements

5 Years experience with bachelor’s degree in science; or 3 years with masters; 1 years with a PhD
Experience in writing, optimizing, and troubleshooting complex SQL queries
Experience managing and maintaining SQL databases
Experience to define, track, and visualize business and engineering metrics using advanced BI tools like Tableau and PowerBI
Expertise in developing and managing ETL processes
Experience in Python programming for data analysis, manipulation, and automation
Experience using version control systems such as Gitlab for collaborative development
Experience with Agile/Scrum methodologies for project management
Active U.S. Government DoD Secret security clearance at time of application, current and within scope, with an ability to obtain and maintain Special Access Program (SAP) approval within a reasonable period of time, as determined by the company to meet its business need

Nice To Haves

5 years of relevant experience with a bachelor’s degree, 3 years relevant experience with a master’s degree, or a PHD in either Data Science, Mathematics, Computer Science, or Engineering
Expertise in developing and orchestrating robust ETL processes using Apache Airflow
Strong experience in publishing, maintaining, and managing Tableau reports on Tableau Server
Capability to bridge the gap between business requirements and technical specifications
Proficiency in applying advanced statistical methods and machine learning techniques
Experience in performing predictive and prescriptive analytics
Strong communication skills to present findings and insights to both technical and non-technical stakeholders effectively

Responsibilities

Manage, maintain, and secure SQL databases.
Write, troubleshoot, and optimize complex SQL queries to ensure high performance and data availability.
Design, develop, and manage automated ETL processes to ingest and transform complex engineering and business datasets.
Define, track, and build interactive dashboards in Tableau and/or PowerBI to clearly communicate technical metrics to technical and non-technical stakeholders.
Write and deploy advanced Python scripts using Airflow for data manipulation, analysis, and process automation.
Utilize Gitlab for version control, code reviews, and collaborative development within an agile/scrum framework.
Create 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.
Assist with reviewing status of projects and budgets.
Assist with resource planning.
Assist with preparing for and facilitating meetings.
Support various administrative functions.