Data Scientist - REMOTE

Join General Dynamics IT and be a part of the team of men and women that solve some of the world’s most complex technical challenges. The All Weapon Information Systems (AWIS) team is looking for a Data Scientist to join them at the Naval Air Warfare Center located at the Navy Base in China Lake, CA. 

The D433000 Division provides Information Technology (IT) services for the Naval Air Systems Command (NAVAIR) Logistics competency. The D433000 Division manages the All Weapons Information System (AWIS) is the NAVAIRIT system providing complete life cycle tracking and IT management system for many naval ordnance systems. The system provides comprehensive and timely information for the development, production, maintenance, follow-on engineering, acquisition, and logistics to support Fleet readiness and help sustain sophisticated weapons systems and associated support equipment. AWIS is designated as the centralized database for NAVAIR ordnance data and is currently comprised of numerous interrelated applications. AWIS consists of approximately 40 active modules, which facilitate business processes for approximately 7,000 users.

China Lake is located midway between Los Angeles and Las Vegas and is a comfortable drive to the Mountains and skiing in the North and San Diego to the South. The beaches of L.A. aren’t far away either so you’ll have the best of all worlds!

For more information on the location please see the following online videos: https://www.youtube.com/watch?v=64Ty0NqDDno&app=desktop  https://www.youtube.com/watch?v=tjPAqjYpZSk 

As Data Scientist, you will develop and implement a set of techniques or analytics applications to transform large-scale data sets into meaningful information using data-oriented programming languages and visualization software. Apply data mining, data modeling, natural language.

Responsibilities:

• Identify opportunities in large, rich data sets
• Elicit data needs from stakeholders
• Create and implement data driven strategies
• Design and implement statistical and predictive models and algorithms utilizing diverse sources of data
• Identify trends and relationships between different pieces of data
• Ensure consistency of datasets
• Create visualizations to aid in understanding data
• Develop tools, dashboards, and reports that help users access and analyze data
• Provide inputs to project risks, mitigation strategies and issues

Requirements:

• Bachelors degree in a related discipline
• 3+ years of experience in data science
• Must have an active DoD Secret security clearance
• Must be a U.S. citizen

We are GDIT. The people supporting some of the most complex government, defense, and intelligence projects across the country. We deliver. Bringing the expertise needed to understand and advance critical missions. We transform. Shifting the ways clients invest in, integrate, and innovate technology solutions. We ensure today is safe and tomorrow is smarter. We are there. On the ground, beside our clients, in the lab, and everywhere in between. Offering the technology transformations, strategy, and mission services needed to get the job done.

GDIT is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class.

We are GDIT. The people supporting some of the most complex government, defense, and intelligence projects across the country. We deliver. Bringing the expertise needed to understand and advance critical missions. We transform. Shifting the ways clients invest in, integrate, and innovate technology solutions. We ensure today is safe and tomorrow is smarter. We are there. On the ground, beside our clients, in the lab, and everywhere in between. Offering the technology transformations, strategy, and mission services needed to get the job done.

GDIT is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class.