About r/datascience
In its own words:
A space for data science professionals to engage in discussions and debates on the subject of data science.
Community guide
r/datascience (#402, about 2.8 million) is for data-science professionals to discuss and debate the field. Rules: respectful, on-topic, use weekly threads, no video links/listicles/surveys, limited self-promo; not Stack Overflow, not homework help, not crowdsourced Google; memes only Mondays. Low volume (~2.9 ppd, n=25).
Pro discussion over tutoring
Career, ML, and analysis flairs appear; homework and “google this for me” asks are explicitly out.
Weekly thread and media bans
Route routine asks to the weekly thread; no video links or listicles as posts.
Practical pointers
Limit self-promo and surveys; save memes for Monday.
SubMouse Editorial
The community was created on Aug 6, 2011, which makes it 15 years old. Since Oct 26, 2026, it has gained 761 subscribers (+0.03%). It sits just behind r/StrangerThings (#401) and ahead of r/likeus (#403) in our ranking.
What sets r/datascience apart
Compared with other large communities, r/datascience leans heavily on text posts (72% of recent posts; the typical Top 100 subreddit sits at 34%). Relative to its huge audience, posting is calm — around 1.0 new posts a day per million members, which puts it in the quietest fifth of the Top 100. A good post has less competition here.
Subscriber growth
Between Sep 19, 2026 and Nov 2, 2026, r/datascience grew from 2,768,348 to 2,773,391 subscribers (+5K, +0.18%). That is about 115 new members per day. The chart uses our weekly snapshots (9 so far), so it gets longer every week.
What r/datascience talks about
Across 25 recent posts (Oct 29–Nov 4), the words that come up most are “data”, “remind”, “recruiter”, “python” and “skills”. Other frequent themes are limited, technical, interview, learning, free and came. Recurring phrases include “python skills”, “technical interview” and “old-school classifiers”. By format, 72% are text posts, 20% are links and 8% are images.
Popular post flairs: Discussion (5), Career | US (3), ML (3), Analysis (3), Career | Europe (3), Tools (2).
Activity and best time to post
r/datascience gets about 2.9 new posts a day. The public archive holds 138,752 posts and 1,037,172 comments in total, about 7.5 comments per post. Last week the busiest day was Thursday (13 posts) and the quietest was Saturday (0). Posting peaks around 15:00 UTC and is lowest around 00:00 UTC.
Rules of r/datascience
The moderators of r/datascience list 11 rules. In short:
- Be Respectful and Supportive
- Stay On Topic
- Use the Weekly Thread
- No Video Links
- No Listicles
- No Surveys
- Limit Self-Promotion
- /r/datascience is not stack overflow
- /r/datascience is not a homework helper
- /r/datascience is not a crowd-sourced Google
How to join
Open reddit.com/r/datascience and press “Join”. Read the community rules in the sidebar before you post: every subreddit is run by its own volunteer moderators.
Frequently asked questions
How big is r/datascience?
r/datascience has 2,773,391 subscribers (Nov 2, 2026), which makes it the #402 safe-for-work subreddit in the SubMouse ranking. It added 5,043 members between Sep 19, 2026 and Nov 2, 2026.
When was r/datascience created?
r/datascience was created on Aug 6, 2011, so it has been around for 15 years. The oldest post in the public archive is from Aug 8, 2011.
Is r/datascience still active?
Yes. r/datascience gets about 2.9 new posts a day (average of the last four weeks). Over its lifetime the archive counts 138,752 posts and 1,037,172 comments.
What is the best time to post in r/datascience?
Based on post counts from Oct 29, 2026 to Nov 4, 2026, the busiest day was Thursday and the quietest Saturday, and most posts arrive around 15:00 UTC, with the fewest around 00:00 UTC. More posts also means more competition, so a quieter hour can help a post get noticed.
What kind of posts are on r/datascience?
The community describes itself as: “A space for data science professionals to engage in discussions and debates on the subject of data science.” Recent post titles often mention data, remind, recruiter, python and skills. Most posts are text posts (72%).
Is r/datascience SFW?
Yes. Reddit does not mark r/datascience as an 18+ (NSFW) community. SubMouse lists safe-for-work subreddits only.
What are the rules of r/datascience?
Join the community on Reddit first, then use “Create post”. r/datascience accepts both text and link posts, with images and galleries enabled. It has 11 posted rules, starting with: “Be Respectful and Supportive”; “Stay On Topic”; “Use the Weekly Thread”. Moderators remove posts that break the rules, so read them in the sidebar before posting.
What subreddits are similar to r/datascience?
Communities with similar topics include r/space (28M), r/psychology (4.9M), r/science (34.6M), r/askscience (26.4M) and r/cscareerquestions (2.4M).
Stats from public data (data updated Nov 2, 2026; activity, rules and archive totals via the Arctic Shift archive, Nov 6, 2026). Point and comment counts are archive snapshots and can be lower than on Reddit today. SubMouse is an independent directory and is not affiliated with Reddit or the moderators of r/datascience.