Will “Data Analytics Chief Scientist” be Replaced By Robots? 🤔

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Job Description

Apply remote sensing principles and methods to analyze data and solve problems in areas such as natural resource management, urban planning, or homeland security. May develop new sensor systems, analytical techniques, or new applications for existing systems.

Job Details

The SOC (Standard Occupational Classification) code is 19-2099.01

☝️ Information based on the reference occupation “Remote Sensing Scientists and Technologists”.

Also Known As…

Tasks for “Data Analytics Chief Scientist”

Prepare or deliver reports or presentations of geospatial project information.
Manage or analyze data obtained from remote sensing systems to obtain meaningful results.
Train technicians in the use of remote sensing technology.
Collect supporting data, such as climatic or field survey data, to corroborate remote sensing data analyses.
Analyze data acquired from aircraft, satellites, or ground-based platforms, using statistical analysis software, image analysis software, or Geographic Information Systems (GIS).
Apply remote sensing data or techniques, such as surface water modeling or dust cloud detection, to address environmental issues.
Direct installation or testing of new remote sensing hardware or software.
Direct all activity associated with implementation, operation, or enhancement of remote sensing hardware or software.
Design or implement strategies for collection, analysis, or display of geographic data.
Set up or maintain remote sensing data collection systems.
Compile and format image data to increase its usefulness.
Conduct research into the application or enhancement of remote sensing technology.
Attend meetings or seminars or read current literature to maintain knowledge of developments in the field of remote sensing.
Develop automated routines to correct for the presence of image distorting artifacts, such as ground vegetation.
Organize and maintain geospatial data and associated documentation.
Participate in fieldwork.
Process aerial or satellite imagery to create products such as land cover maps.
Discuss project goals, equipment requirements, or methodologies with colleagues or team members.
Develop or build databases for remote sensing or related geospatial project information.
Develop new analytical techniques or sensor systems.
Integrate other geospatial data sources into projects.
Recommend new remote sensing hardware or software acquisitions.
Monitor quality of remote sensing data collection operations to determine if procedural or equipment changes are necessary.
Use remote sensing data for forest or carbon tracking activities to assess the impact of environmental change.

Related Technology & Tools

Mainframe computers
Desktop computers
Thermal imaging systems
Personal computers
Spectral imaging systems
Multispectral imaging equipment
Spaceborne imaging systems
Synthetic aperture radar SAR
Doppler Rayleigh laser imaging ranging and detecting LIDAR systems
Airborne imaging systems
Hyperspectral imaging equipment

Microsoft Excel
ESRI ArcGIS software
Microsoft Word
BAE Systems SOCET GXP
UNIX
The MathWorks MATLAB
Microsoft PowerPoint
Gamma remote sensing software
C
Linux
PCI Geomatics Geomatica
Image processing software
C++
Microsoft Office
Structured query language SQL
Oracle Java
RSI ENVI
Leica Geosystems ERDAS IMAGINE
Interface definition language IDL
Web browser software
Practical extraction and reporting language Perl