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Remote sensing engineer vs weather algorithm scientist

The differences between remote sensing engineers and weather algorithm scientists can be seen in a few details. Each job has different responsibilities and duties. It typically takes 1-2 years to become both a remote sensing engineer and a weather algorithm scientist. Additionally, a remote sensing engineer has an average salary of $93,371, which is higher than the $70,358 average annual salary of a weather algorithm scientist.

The top three skills for a remote sensing engineer include remote sensing, RF and lidar. The most important skills for a weather algorithm scientist are MATLAB, image quality, and .

Remote sensing engineer vs weather algorithm scientist overview

Remote Sensing EngineerWeather Algorithm Scientist
Yearly salary$93,371$70,358
Hourly rate$44.89$33.83
Growth rate2%17%
Number of jobs74,15941,471
Job satisfaction--
Most common degreeBachelor's Degree, 57%Doctoral Degree, 42%
Average age4040
Years of experience22

Remote sensing engineer vs weather algorithm scientist salary

Remote sensing engineers and weather algorithm scientists have different pay scales, as shown below.

Remote Sensing EngineerWeather Algorithm Scientist
Average salary$93,371$70,358
Salary rangeBetween $61,000 And $141,000Between $42,000 And $115,000
Highest paying CitySan Francisco, CASan Francisco, CA
Highest paying stateCaliforniaCalifornia
Best paying companyAppleMeta
Best paying industryPharmaceutical-

Differences between remote sensing engineer and weather algorithm scientist education

There are a few differences between a remote sensing engineer and a weather algorithm scientist in terms of educational background:

Remote Sensing EngineerWeather Algorithm Scientist
Most common degreeBachelor's Degree, 57%Doctoral Degree, 42%
Most common majorElectrical EngineeringPhysics
Most common collegeNorthwestern UniversityCornell University

Remote sensing engineer vs weather algorithm scientist demographics

Here are the differences between remote sensing engineers' and weather algorithm scientists' demographics:

Remote Sensing EngineerWeather Algorithm Scientist
Average age4040
Gender ratioMale, 90.7% Female, 9.3%Male, 92.3% Female, 7.7%
Race ratioBlack or African American, 3.0% Unknown, 5.0% Hispanic or Latino, 6.6% Asian, 28.9% White, 56.3% American Indian and Alaska Native, 0.1%Black or African American, 3.0% Unknown, 5.0% Hispanic or Latino, 6.6% Asian, 28.9% White, 56.3% American Indian and Alaska Native, 0.1%
LGBT Percentage8%8%

Differences between remote sensing engineer and weather algorithm scientist duties and responsibilities

Remote sensing engineer example responsibilities.

  • Manage EMC testing at outside labs and design & build specialty fixtures and interfaces.
  • Manage Jenkins security by providing specific access to authorize developers/testers using project base matrix authorization strategy.
  • Participate in field data acquisition using LIDAR capture equipment and GPS systems.
  • Maintain geospatial metadata for GIS projects.
  • Create different vector data layers for maps in ArcView and ArcMap GIS.
  • Moderate exposure to processing in mobile, terrestrial, UAS, and rotary wing applications.
  • Show more

Weather algorithm scientist example responsibilities.

  • Manage sample inventory via in-house laboratory information management system (LIMS) and implement additional systems for sample and chemical organization.
  • Develop the ultrasound algorithm and fuzzy logic to combine ultrasound and ECG signal.
  • Design ECG biometric algorithms with state-of-the-art equal error rate.
  • Key activities include process chemistry development, synthesis of intermediates, compound purification and structure identification, and comprehensive scientific documentation.
  • Support all GMP activities for manufacturing plant equipment release, including method development and validation, and cleaning verification.

Remote sensing engineer vs weather algorithm scientist skills

Common remote sensing engineer skills
  • Remote Sensing, 22%
  • RF, 19%
  • LiDAR, 19%
  • Data Processing, 10%
  • Algorithm Development, 8%
  • CAD, 7%
Common weather algorithm scientist skills
  • MATLAB, 92%
  • Image Quality, 8%

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