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

Base: $168k

Stocks: -

Bonus: -

16yrs
Bachelor's in computer engineering

Works in Cincinnati, OH

Base: $81k

Stocks: -

Bonus: -

6yrs
Master's in applied mathematics and computational science

Works in SAN FRANCISCO, CA

Lives in fremont (94538)

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Frequently asked questions
How much do Recommendation employees make?

Employees who know Recommendation earn an average of $125k, mostly ranging from $112k per year to $167k per year based on 2 profiles. The top 10% of employees earn more than $158k per year.

What is the average salary of Recommendation?

Average salary of an employee who know Recommendation is $125k.

What is the median salary offered who know Recommendation?

The median salary approximately calculated from salary profiles measured so far is $125k per year.

How is the age distributed among employees who know Recommendation?

This group has a predominantly younger workforce. 50% of employees lie between 26-31 yrs . 50% of the employees fall in the age group of 36-41 yrs .

Frequently asked questions
How much do Recommendation employees make?

Employees who know Recommendation earn an average of $125k, mostly ranging from $112k per year to $167k per year based on 2 profiles. The top 10% of employees earn more than $158k per year.

What is the average salary of Recommendation?

Average salary of an employee who know Recommendation is $125k.

What is the median salary offered who know Recommendation?

The median salary approximately calculated from salary profiles measured so far is $125k per year.

How is the age distributed among employees who know Recommendation?

This group has a predominantly younger workforce. 50% of employees lie between 26-31 yrs . 50% of the employees fall in the age group of 36-41 yrs .

Salary Brackets
Percentage
75-100 k 75-100 k
Percentage : 50
150-175 k 150-175 k
Percentage : 50
Age Brackets
Percentage
26-31 yrs 26-31 yrs
Percentage : 50
36-41 yrs 36-41 yrs
Percentage : 50
Skills
Trending
recommendation
100 %
anomaly detection
0 %
classification
0 %
media
0 %
numerical simulation
0 %
numpy
0 %
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