Head to head
Which skill should you learn next? Score both against real job postings.
Python
170
scored postings
Demand index
Posted pay (US)
Machine Learning
25
scored postings
Demand index
Posted pay (US)
Demand index: the larger skill is 100, the other is scaled to it.
The matchup
ShouldApply has scored 6,679 job postings. Python appears in 170 of them (2.5%) and Machine Learning in 25 (0.4%). 8 postings list both, which is 4% of everything that lists either one.
Each bar below uses one ruler for both skills. The leader on a metric gets a gold edge and a Leads label. Pay uses US postings that list a salary, ghost risk is the share of postings with a ghost probability of 50% or higher, and depth is the level (L0 to L5) the scoring engine assigned to the skill when it read the posting, not a stated years-of-experience ask.
Head to head
Python has 580% more postings than Machine Learning.
Scored postings that list the skill.
About level. The gap is under 3%.
US postings that list pay (39 and 6).
The scoring engine reads Python at a deeper level on average, by 1.6 of a level.
Level the scoring engine assigned to the skill, L0 to L5.
Python postings are less likely to carry high ghost signals, 16% against 38%.
Share of postings with a ghost probability of 50% or higher.
Machine Learning postings are flagged remote-friendly more often, 52% against 34%.
Share of postings flagged remote.
Based on 6,679 scored job postings, updated . The pool refreshes every 2 hours from 4 job boards.
Strengths
Role mix
Both skills appear together in 4% of the postings that list either one (8 postings).
Not sure which skill your resume already shows? Scan your resume
The verdict
Python leads on more job openings, deeper scored skill levels, and lower ghost risk. Machine Learning leads on more remote-friendly roles. Your pick depends on the job you want next, and plenty of postings ask for both (4% of those that list either).
Go deeper on each: Python demand and depth and Machine Learning demand and depth.
The data does not crown one. Python appears in 170 scored postings against 25 for Machine Learning, which is 580% more openings. On pay, Python has the higher posted median ($151K against $151K). 4% of postings that list either skill list both, so learning one rarely closes the door on the other.
They are level. US postings that list Python have a $151K median (39 postings) and Machine Learning has $151K (6).
Yes, and employers often expect it. 8 scored postings list both skills, 4% of every posting that lists either one. Postings that want only Python lean toward Software Engineer roles; only-Machine Learning postings lean toward Data Scientist.
Python does, with 170 scored postings (2.5% of everything scored) against 25 (0.4%) for Machine Learning. There is not enough dated history to call a trend for both.
Python shows up most in Data Scientist postings and Machine Learning in Data Scientist postings. The scoring engine reads Python at an average depth of L3.0 and Machine Learning at L1.4. Python postings carry high ghost signals 16% of the time, Machine Learning 38%.