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Posts dated October 2024 to June 2026

Scikit Learn posts with salary details

4 job posts mention Scikit Learn and include salary information.

A post can mention several technologies. These figures describe advertised starting amounts, not what employees were paid.

SALARY AMOUNTS COMPARED
4

Fewer than 30 usable salary amounts are available. Check the individual advertised ranges and currencies below.

Posts with salary details

4

Source-post dates

Oct 2024 to Jun 2026

Coverage

Public HN “Who is Hiring” posts that include salary details

What salary details are stated?

How specific are the advertised salary amounts?

Each post is grouped by the salary details extracted from it: a range, one exact amount, a minimum, or values that could not form a usable range. Extraction can miss details, so check the original post.

Salary details by stated currency
CurrencyRecordsTwo-sidedExactMinimum onlyInvalid
USD33000
GBP11000

Original pay evidence

Advertised offer bands

Each panel has a separate scale in the source currency. A band shows its stated lower and upper amounts; a marker shows a minimum with no upper amount. Pay period is not preserved in the listing record. These are historical advertisements, not confirmed current vacancies.

GBP advertised bands. Scale covers known endpoints from 70,000 to 100,000.
RoleCompanyNative offer bandBand position, GBPPost dateRemote markSource
Founding ML/Data Engineer myDataValueGBP 70,000–100,000Jun 2026Marked remoteView source post
USD advertised bands. Scale covers known endpoints from 130,000 to 182,000.
RoleCompanyNative offer bandBand position, USDPost dateRemote markSource
Multiple senior engineering roles Connie HealthUSD 130,000–182,000Sep 2025Not marked remoteView source post
Multiple engineering roles Connie HealthUSD 130,000–182,000Aug 2025Not marked remoteView source post
Senior Frontend Engineer Meaningful GigsUSD 130,000–170,000Oct 2024Marked remoteView source post

In these posts

What stands out in Scikit Learn posts

Counts are based on posts naming this technology. A post may describe multiple openings; its role-level label applies to the post, not necessarily each opening.

Most represented company

Connie Health

2 of 4 posts

3 distinct company names in these posts

Most common other technology tag

Python

Also tagged in 4 of 4 posts

Role level recorded on the post

Senior2
Lead1
Mid1

Other technologies named together

How Scikit Learn posts overlap with other technologies

Each row counts posts naming that technology; a post can appear in more than one row. Salary figures are approximate annualized USD estimates of advertised minimums, not full offer ranges or employee pay.

Technology names, post counts, approximate advertised-minimum estimates, and overlap with Scikit Learn posts
TechnologyPosts naming this technologyComparable estimatesMedian estimateMiddle halfPosts also naming Scikit LearnFirst and last post
Scikit Learn These posts44Not shownNot shown4Oct 2024 to Jun 2026
Python375375$150k$110k to $170k4Jun 2024 to Oct 2026
PostgreSQL320320$140k$106k to $170k3Jun 2024 to Oct 2026

Approximate annualized USD estimates of advertised minimums are shown only when there are at least 30 comparable posts. “Not shown” means fewer than 30.

Starting-salary history

Advertised minimums over time

Each dot is one post’s approximate USD estimate of its advertised minimum, linked to the source post. The chart shows up to the 120 newest comparable estimates, from Oct 2024 to Jun 2026; older months remain in the table, so a missing dot does not mean there were no posts. Monthly summaries appear only with at least 30 comparable estimates. Values are approximate annualized USD estimates of advertised minimums, not full offer ranges or employee pay. They use a common comparison basis, not historical exchange rates or inflation. The mix of companies, recorded role levels, and currencies can change month to month.

Approximate annualized USD estimates of advertised minimums by source-post date Individual linked post floors appear as dots. Eligible month summaries show the p25 to p75 interval and a median mark. The vertical axis is approximate USD and begins at zero. Months without a valid point have no dot. 0k35k70k105k140k Source-post dateApproximate annualized USD estimate Oct 24Jun 26 Oct 2024 · 130,000 approximate USD floor · source post 41709490Aug 2025 · 130,000 approximate USD floor · source post 44764669Sep 2025 · 130,000 approximate USD floor · source post 45102938Jun 2026 · 92,543 approximate USD floor · source post 48367909 Oct 2024Jun 2026
Individual post, links to sourceMonthly middle-half range and median, shown with at least 30 comparable estimates
Monthly post counts and salary estimates
Monthly source-post counts and valid approximate USD advertised-minimum counts. Statistics are shown only when monthly valid sample size is at least 30.
MonthSource postsComparable estimatesMedian estimateMiddle half
Oct 202411Not shownNot shown
Aug 202511Not shownNot shown
Sep 202511Not shownNot shown
Jun 202611Not shownNot shown
Exact values for the 4 plotted source posts
Exact approximate USD floor value and date for each plotted source listing
DateApproximate annualized USD estimateSource
Oct 2024130,000Post 41709490
Aug 2025130,000Post 44764669
Sep 2025130,000Post 45102938
Jun 202692,543Post 48367909

Other technologies named together

Which other technologies appeared in these posts?

For each month, this lists the three most-mentioned other technologies and how many posts named each one. A post can mention several technologies, so these counts overlap and do not add up to the number of posts.

Monthly counts for the most common other technology tags, with each month’s source-post denominator
MonthPosts that monthOther technologies named
Oct 20241
PyTorch1 / 1
Python1 / 1
Aug 20251
PyTorch1 / 1
Python1 / 1
Sep 20251
PyTorch1 / 1
Python1 / 1
Jun 20261
Python1 / 1

Companies named more than once

Where these companies appear in the posts

Counts show source posts under each company name. They do not measure company size, current hiring, or how often a company hires. One post can describe several roles.

Source posts by company, with observed dates, role titles, technology names, remote wording, and stated currencies
CompanyPostsFirst and last postMonths with postsRole titlesTechnology tagsMarked remoteCurrencies
Connie Health2Aug 2025–Sep 202522170 / 2USD

Role level and remote wording

Which role levels appear under each remote label?

Role levels are the labels recorded for each post, including Unknown. “Not marked remote” does not confirm an onsite workplace. A post may describe several openings.

Senior

2 posts

Marked remote 1

Not marked remote 1

Lead

1 posts

Marked remote 1

Not marked remote 0

Mid

1 posts

Marked remote 0

Not marked remote 1

Technology names per post

How many technologies are listed together?

Each post is counted once, according to how many distinct technology names it contains. This describes the post text, not required skills or role complexity.

9 tags1
13 tags2
16 tags1

Places mentioned in post text

Which places do these posts mention?

These bars compare city and nearby-area matches in this group with matches across all posts that state pay. Matches come from post text, not verified work locations. A post can match more than one place.

San Francisco

0 of 4 in this group
This group0.0%All posts with salary details325 of 1616 (20.1%)

New York

0 of 4 in this group
This group0.0%All posts with salary details330 of 1616 (20.4%)

London

1 of 4 in this group
This group25.0%All posts with salary details112 of 1616 (6.9%)

Berlin

0 of 4 in this group
This group0.0%All posts with salary details30 of 1616 (1.9%)

Location labels in these posts

Broad categories recorded for the posts

These broad labels do not confirm a specific city or where an employee lives.

  • United States2
  • Europe1
  • Remote1

Role level recorded on the posts

Posts grouped by recorded role level

Each group uses the role-level label recorded for the post. One post may describe several openings, so the label may not apply to every position in the advertisement.

Role titles in these posts

  • Founding ML/Data Engineer1
  • Multiple engineering roles1
  • Multiple senior engineering roles1
  • Senior Frontend Engineer1

Companies named in these posts

Other technologies named

Posts can name several technologies, so they may appear in more than one group.

Monthly source-post counts

Posting history

When the posts appeared

Monthly counts of matching source posts. This shows how many posts appeared, not salary growth or current vacancies.

Monthly counts of posts with salary details on this page
MonthPostsRelative volume
Oct 202411 posts
Aug 202511 posts
Sep 202511 posts
Jun 202611 posts

Full source listing

Posts mentioning Scikit Learn

COMPANY ROLE SALARY VIBE STACK Actions
Connie Health Multiple senior engineering roles
$130,000 - $182,000
[F] CRUNCH
Python Scikit Learn PyTorch +10
Connie Health Multiple engineering roles
$130,000 - $182,000
[F] grind
Meaningful Gigs Senior Frontend Engineer
$130,000 - $170,000
[F] CRUNCH
myDataValue Founding ML/Data Engineer
£70,000 - £100,000 ≈ $93k
[F] stable
Python Pandas Scikit Learn +6
Data and method

Listings tagged with the normalized technology Scikit Learn. These figures describe advertisements, not verified employee earnings or currently open jobs.

Dates of included posts
2024-10-01 to 2026-06-02
Posts used
4 listings; 4 valid salary-minimum observations
What we compare
Median annualized estimate of advertised salary minimums
Currency conversion
Approximate USD using ECB daily reference rates as of 2026-10-09.

Fewer than 30 usable salary amounts are available, so we do not show a group median. Check the individual offers instead.

2026 includes 1 listings and 1 usable amounts. Its median is withheld below 30 usable amounts. This year overlaps the full history; it is not an independent sample or evidence of a pay trend.

Source: Hacker News “Who is Hiring?”, aggregated by StartupJobList. Read the methodology and correction policy.

Data version for citation: db9c6a689baa3fe68eef9f081627afea7aed889d9b62faac3a415a896e5434a6