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r/datascience rules, stats, and what to post

A source-backed Rankhog guide to r/datascience: public rules, community context, posting fit, and startup-promotion risk before you publish.

By Anthony Riera, founder and operator of Rankhog.

Subreddit guides combine public Reddit source URLs, captured rules, visible verification dates, and Rankhog's account-safety workflow.

Current public stats

Members
2,768,291
Verified
September 18, 2026
Category
Analytics and data operators

Rules can change, so Rankhog keeps verification dates and the original public Reddit sources visible.

Rule summary

  • Be Respectful and Supportive: This rule embodies the principle of treating others with the same level of respect and kindness that you expect to receive. Whether offering advice, engaging in debates, or providing feedback, all interactions within the subreddit should be conducted in a courteous and supportive manner.
  • Stay On Topic: Off-topic discussions, unrelated content, and tangential remarks are subject to removal.
  • Use the Weekly Thread: For inquiries related to transitioning into the field or career advice, users are encouraged to utilize the designated weekly thread.
  • No Video Links: No Video Links
  • No Listicles: N free videos, Y free book, Z free courses, etc...
  • No Surveys: No Surveys
  • Limit Self-Promotion: Remember the reddit self-promotion rule of thumb: ""For every 1 time you post self-promotional content, 9 other posts (submissions or comments) should not contain self-promotional content.""
  • /r/datascience is not stack overflow: Some technical questions are better suited to stackoverflow.com.
  • /r/datascience is not a homework helper: /r/datascience is not a homework helper
  • /r/datascience is not a crowd-sourced Google: Looks like you're asking a basic question with a widely agreed upon answer. Try using a search engine instead. "Search engine questions" hurt the subreddit because they don't generate enough discussion and lower the overall quality of the forum.
  • Memes are only allowed on Mondays: See our "Meme Monday" announcement thread for more information https://www.reddit.com/r/datascience/comments/euot0h/introducing_meme_monday_memes_as_submissions_are/

Works well

  • A text post comparing two feature engineering approaches you tried, with results and lessons, inviting other professionals to share their experience.
  • A discussion question about a real trade-off in model deployment that you faced, written to spark debate among working data scientists.
  • A comment where you answer a technical or methodological question in detail, with no link, building reputation over time before you ever mention your own tool.
  • A text walkthrough of a non-obvious data pipeline problem you solved, focusing on the reasoning rather than a product pitch.

Avoid

  • Posting video links of any kind, since the community explicitly bans them under the rule named No Video Links.
  • Sharing listicles such as free videos, free books, or free courses, which the rule named No Listicles removes.
  • Running surveys on the subreddit, because the rule named No Surveys prohibits them.
  • Asking basic technical questions you could answer with a search engine, since the rule named /r/datascience is not a crowd-sourced Google targets those.
  • Posting homework help requests, because the rule named /r/datascience is not a homework helper removes them.
  • Posting memes outside Monday, as the rule named Memes are only allowed on Mondays restricts them to that day.

What r/datascience Is For

This community is a space for data science professionals to engage in discussions and debates about data science. The people who post here are working in or around the field and want substantive conversation, not quick answers or beginner help. The rules make clear that it is not a homework helper, not a crowd-sourced Google, and not a substitute for Stack Overflow on technical questions.

Rules That Matter Before Posting

The rule named Stay On Topic means anything unrelated to data science gets removed. The rule named Limit Self-Promotion follows the Reddit-wide one to nine ratio, so for every promotional post you make you need nine other contributions that are not promotional. The rule named No Video Links removes any video submission. The rule named No Listicles removes posts that are just lists of free resources. The rule named No Surveys removes any survey. The rule named Use the Weekly Thread sends career and transition questions to a single weekly thread rather than the main feed.

What To Post

A good post for a founder doing respectful Reddit marketing here is a discussion-driven submission that raises a real data science problem or debate you have encountered in your own work. You might share a written walkthrough of a modeling challenge, a comparison of approaches, or a nuanced question that invites professional opinions, as long as it is on topic and not a basic search-engine question. If you mention your product, do it rarely and only after you have built a history of genuinely helpful, non-promotional comments and posts. Keep everything text-based, since video links are not allowed.

What To Avoid

Avoid posting video links, listicles, or surveys, since each has a dedicated rule that removes them. Do not ask basic questions with widely agreed answers, because the rule named /r/datascience is not a crowd-sourced Google says to use a search engine instead. Do not bring homework problems, as the rule named /r/datascience is not a homework helper forbids it. Do not post career or transition questions as standalone submissions, because the rule named Use the Weekly Thread routes them to the weekly thread. Do not post memes except on Monday, per the rule named Memes are only allowed on Mondays. Do not ignore the one to nine self-promotion ratio in the rule named Limit Self-Promotion, or you risk removal and likely a ban.

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Common questions about r/datascience

Can I share a video link to my data science tutorial?

No, the rule named No Video Links prohibits video links entirely.

Can I post a survey to learn what data science tools people use?

No, the rule named No Surveys bans surveys completely.

Where should I ask about transitioning into a data science career?

You must post them in the designated weekly thread, as the rule named Use the Weekly Thread requires.

How often can I promote my own data science product?

The rule named Limit Self-Promotion says for every one self-promotional post you need nine other posts or comments that are not self-promotional.

Can I ask the community to help debug my homework code?

No, the rule named /r/datascience is not a homework helper says the community will not help with homework.

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