Job: Data Scientist, GeoSearch, Inc., McLean, VA

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General Information


Job title:
Data Scientist
Job location:
McLean, VA  99999 United States
District of Columbia, Maryland, Virginia
Requisition code:
BHJOB12989_1040
Date posted:
07/28/2019
Compensation:
Job category:
Geospatial Entry Level Technician
Geospatial Mid Level Specialist
IT Software Development
Job type:
Full-time
Remote

Job Description


As a spatial data scientist, you grow and improve predictive algorithms in a small data context. You should have a strong data science background, experience working with large geospatial datasets. Your work will support decisions made in emerging markets across private and public sectors. Please note, this is not a GIS position. Preference will be given to applicants with experience in remote sensing, machine learning, predictive analytics, and/or cloud-based computing systems (AWS, Azure, etc.).

You will perform a range of duties including, but not limited to, the following:
o Build and adapt machine learning algorithms to detect geospatial features.
o Support customized client engagements (e.g., investors, government analysts, and development agencies).
o Analyze image and raster data acquired from sensors, satellites, or ground-based platforms, using statistical analysis software, or image analysis software.
o Prepare analytical products, including presentations, briefings, and other materials.
o Grow organizational capacity both in the creation of new products and system, as well as working across both technical and non-technical teams.

Job Requirements


You will have the following qualifications and skills:
o Bachelor’s or master’s degree in a related field.
o At least 2 years of data science and/or geospatial work
o Training in satellite imagery analysis, spatial surface interpolation, network analysis, and/or other types of GIS analysis.
o Essential software skills: GIS (Q, Arc, etc.), Python (sklearn, numpy, etc.) and/or R (raster, rgdal and caret)
o Enjoys advancing discrete projects both independently and collaboratively, and are able to quickly grow technical skills with minimal mentorship and supervision.
(Job number: 3841607)
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