Salary Profiles
Company
Title(Level)
Annual Salary
Experience
School
Degree
Location
Skills

Base: $123k

Stocks: $12k

Bonus: $15k

TC:$150k

8yrs
Phd

Works in St. Louis

Base: $88k

Stocks: -

Bonus: -

13yrs
Master's in computer science

Works in Missoula, MT

Base: $73k

Stocks: -

Bonus: -

4yrs
Master's in geography

Works in Newark, CA

Lives in newark (94560)

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Frequently asked questions
How much do Remote Sensing employees make?

Employees who know Remote Sensing earn an average of $150k, mostly ranging from $150k per year to $150k per year based on 3 profiles. The top 10% of employees earn more than $150k per year.

What is the average salary of Remote Sensing?

Average salary of an employee who know Remote Sensing is $150k.

What is the median salary offered who know Remote Sensing?

The median salary approximately calculated from salary profiles measured so far is $150k per year.

How is the age distributed among employees who know Remote Sensing?

33% of employees lie between 26-31 yrs . 33% of the employees fall in the age group of 36-41 yrs .

Frequently asked questions
How much do Remote Sensing employees make?

Employees who know Remote Sensing earn an average of $150k, mostly ranging from $150k per year to $150k per year based on 3 profiles. The top 10% of employees earn more than $150k per year.

What is the average salary of Remote Sensing?

Average salary of an employee who know Remote Sensing is $150k.

What is the median salary offered who know Remote Sensing?

The median salary approximately calculated from salary profiles measured so far is $150k per year.

How is the age distributed among employees who know Remote Sensing?

33% of employees lie between 26-31 yrs . 33% of the employees fall in the age group of 36-41 yrs .

Salary Brackets
Percentage
100-200 k 100-200 k
Percentage : 33
Age Brackets
Percentage
26-31 yrs 26-31 yrs
Percentage : 33
36-41 yrs 36-41 yrs
Percentage : 33
Skills
Trending
remote sensing
100 %
machine learning
0 %
applied mathematics
0 %
business intelligence
0 %
c++
0 %
causal inference
0 %
computational geometry
0 %
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