Remote Sensing Scientists and Technologists

AUTOMATION RISK
CALCULATED
27%
risk level
POLLING
There hasn't been enough votes on this occupation yet
LABOR DEMAND *
GROWTH
0.4%
by year 2032
WAGES
$107,970
or $51.90 per hour
Volume
19,820
as of 2022

Employment data isn't available specifically for this occupation from the Bureau of Labor Statistics, so we are using the data from Physical Scientists, All Other.

SUMMARY
JOB SCORE
5.4/10

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Automation risk

27% (Low Risk)

Low Risk (21-40%): Jobs in this level have a limited risk of automation, as they demand a mix of technical and human-centric skills.

More information on what this score is, and how it is calculated is available here.

Some quite important qualities of the job are difficult to automate:

  • Originality

  • Social Perceptiveness

What do you think the risk of automation is?

What is the likelihood that Remote Sensing Scientists and Technologists will be replaced by robots or artificial intelligence within the next 20 years?






Growth

Slow growth relative to other professions.

The number of 'Physical Scientists, All Other' job openings is expected to rise 0.4% by 2032

Total employment, and estimated job openings

* Data from the Bureau of Labor Statistics for the period between 2021 and 2031
Updated projections are due 09-2023.

Wages

Very high paid relative to other professions

In 2022, the median annual wage for 'Physical Scientists, All Other' was $107,970, or $51 per hour

'Physical Scientists, All Other' were paid 133.1% higher than the national median wage, which stood at $46,310

Wages over time

* Data from the Bureau of Labor Statistics

Volume

Lower range of job opportunities compared to other professions

As of 2022 there were 19,820 people employed as 'Physical Scientists, All Other' within the United States.

This represents around < 0.001% of the employed workforce across the country

Put another way, around 1 in 7 thousand people are employed as 'Physical Scientists, All Other'.

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.

SOC Code: 19-2099.01

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