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Remote sensing specialist vs weather algorithm scientist

The differences between remote sensing specialists 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 specialist and a weather algorithm scientist. Additionally, a remote sensing specialist has an average salary of $73,410, which is higher than the $70,358 average annual salary of a weather algorithm scientist.

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

Remote sensing specialist vs weather algorithm scientist overview

Remote Sensing SpecialistWeather Algorithm Scientist
Yearly salary$73,410$70,358
Hourly rate$35.29$33.83
Growth rate9%17%
Number of jobs25,95741,471
Job satisfaction--
Most common degreeBachelor's Degree, 59%Doctoral Degree, 42%
Average age4040
Years of experience22

Remote sensing specialist vs weather algorithm scientist salary

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

Remote Sensing SpecialistWeather Algorithm Scientist
Average salary$73,410$70,358
Salary rangeBetween $48,000 And $111,000Between $42,000 And $115,000
Highest paying City-San Francisco, CA
Highest paying state-California
Best paying company-Meta
Best paying industry--

Differences between remote sensing specialist and weather algorithm scientist education

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

Remote Sensing SpecialistWeather Algorithm Scientist
Most common degreeBachelor's Degree, 59%Doctoral Degree, 42%
Most common majorGeographyPhysics
Most common collegeUniversity of PennsylvaniaCornell University

Remote sensing specialist vs weather algorithm scientist demographics

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

Remote Sensing SpecialistWeather Algorithm Scientist
Average age4040
Gender ratioMale, 69.7% Female, 30.3%Male, 92.3% Female, 7.7%
Race ratioBlack or African American, 3.8% Unknown, 5.5% Hispanic or Latino, 8.8% Asian, 27.7% White, 54.1% 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 specialist and weather algorithm scientist duties and responsibilities

Remote sensing specialist example responsibilities.

  • Manage user securities, roles, database backups, restore, fail-over management for SQL cluster.
  • Provide documentation and training to analysts and technicians in the processing of various LiDAR workflows.
  • Collect and process GPS data for principal investigators and create bathymetric maps utilizing Garmin sonar equipment.
  • Conduct research and resolve outstanding payroll issues and discrepancies in accordance with appropriate union contract or university policy.
  • Experience touch panel module manufacturing: module design, laser printing, lamination, ACF bonding, packaging, etc.

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 specialist vs weather algorithm scientist skills

Common remote sensing specialist skills
  • Remote Sensing, 28%
  • LiDAR, 18%
  • GIS, 18%
  • Python, 18%
  • Project Support, 7%
  • Technical Reports, 3%
Common weather algorithm scientist skills
  • MATLAB, 92%
  • Image Quality, 8%

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