We counted how often Esri's own 10 ads (those with a full description) state each requirement. This shows the filters the ads apply before anyone reads a resume. We have no data on why candidates are rejected after applying, and we do not guess.
Years of experience. 10 of 10 ads (100%) state a number of years. The median is 5 years; 50% ask for 5 or more and 0% for 10 or more.
Education
Sort:
Requirement ⇅
Ads that state it ⇅
Share of ads ⇅
Bachelor's degree
10
100%
Master's degree
8
80%
Legal and eligibility: what can rule you out
Sort:
Requirement ⇅
Ads that state it ⇅
Share of ads ⇅
Work authorization required
2
20%
Working conditions
Sort:
Requirement ⇅
Ads that state it ⇅
Share of ads ⇅
On-site or in-person work
8
80%
Nights, weekends, holidays or on-call
8
80%
Relocation mentioned
2
20%
Skills and tools named most often
Sort:
Requirement ⇅
Ads that state it ⇅
Share of ads ⇅
python
8
80%
c++
8
80%
machine learning
5
50%
aws
2
20%
azure
2
20%
cad
2
20%
javascript
1
10%
typescript
1
10%
sql
1
10%
java
1
10%
gcp
1
10%
kubernetes
1
10%
linux
1
10%
How to stand out
First, cover the basics the ads ask for most (see the requirements above: python (80%), c++ (80%), machine learning (50%), aws (20%)). Then look at what separates higher-paid ads:
Too few ads publish a pay range to compare, so we do not rank items by pay.
We describe only what the ads state. We do not know how recruiters rank candidates.
Same role elsewhere
Where else the same role family is open, with the pay each posts: