Data Scientist

Clearance Level
Other
Category
Data Science
Location
Not Applicable, District of Columbia

REQ#: RQ78680

Travel Required: None
Public Trust: NACI (T1)
Requisition Type: Regular

Data Analytics/ Scientist

  • Perform Data Analytics and Machine Learning with FAA data sources using AWS
  • Develop and Setup Safety Risk Analysis framework and methodology for data access, retrieval, analytics and visualizations of results
  • Perform data source fusion/ integration with textual and non-textual data
  • Leverage key AI/ ML technologies like Natural Language Processing, Text Based Analytics, Clustering, Recommender Algorithm, Deep Learning to help determine safety hazards
  • Integrate model results into visualizations dashboard such as Tableau or ESRI
  • Experience using python, pyspark, sci-kit learn, MLlib, and other open source tools/libraries to develop data analytics model
  • Build a data analytics orchestration framework

  • DESIRED QUALIFICATIONS: BA/BS (or equivalent experience), 2+ years of experience. Computer Science/Math degre

The likely salary range for this position is $58,400 - $87,600, this is not, however, a guarantee of compensation or salary; rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

View information about benefits and our total rewards program.

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.