General Dynamics Information Technology Data Scientist Sr Advisor in Natick, Massachusetts
Type of Requisition: Regular
Clearance Level Must Be Able to Obtain: None
Public Trust/Other Required: NACI (T1)
Job Family: Data Science
We are looking for an experienced Natural Language Processing (NLP) data science professional to join our FAA data fusion project team.
The candidate shall create labeled data sources using Machine Learning algorithms from available taxonomies and data sources to mine a core set of safety anomalies . Given the exciting possibilities of mining FAA data sources, we are looking for enthusiastic and innovative personnel who can shape the FAA use of NLP and AI for the foreseeable future.
This tasks requires knowledge and experience of AWS Cloud tools and architecture to build an overall NLP Pipeline for the FAA Cloud.
Education Masters in a relevant field
15+ Overall Experience, 5+ years’ experience in Data Science and Machine Learning
Data Science Certifications or courses a must
Experience with Python NLP Packages – BERT, SpaCy and tools like Prodigy , AWS Comprehend, Text Tract
DESIRED QUALIFICATIONS: MS (or equivalent experience), 10+ years of experience. Computer Science/Math degree
This position requires being fully vaccinated against COVID-19 by January 18, 2022 or the start date, if after January 18. Individuals who work in or reside in Texas or Montana or work outside of the United States may be excluded from this requirement.
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.
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