/r/datascience/

r/datascience

2.8M members
r/datascience is a subreddit with 2.8M members. The most common kinds of discussions are advice requests and solution requests, and the community frequently discusses struggling, data, data science, tired, and job, and they frequently recommend/review bi tool, framework, and etl tool.
A space for data science professionals to engage in discussions and debates on the subject of data science.

Popular Themes in r/datascience

#1
Advice Requests
: "Hamel Husain on decision models for LLM evals, and why classic data science skills still matter"
15 posts
#2
Solution Requests
: "What's the process to request cloud architecture in your company?"
3 posts
#3
Pain & Anger
: "Resigned after 1 month due to role mismatch + brutal commute — now company is holding my salary over a "bond""
1 post
#4
Opportunities
: "Mass applying to one company hurts you: what I saw from referrals"
1 post
#5
Self-Promotion
: "Thought I'd analyse the past 6 annual salary sharing threads. Not self promotion. Just sharing something I hope others will find useful."
1 post
#6
News
: "How data journalists caught a fake pollster at Wedgewood Polls"
1 post

Popular Topics in r/datascience

#1

Struggling

19 posts
#2

Data

: "4 Types of Case Studies in 2026 Data Science Interviews"
18 posts
#3

Data Science

: "4 Types of Case Studies in 2026 Data Science Interviews"
14 posts
#4

Tired

8 posts
#5

Job

6 posts
#6

Hate

3 posts
#7

Struggling With

3 posts
#8

Masters

2 posts
#9

Statistics

2 posts
#10

Career

: "Please Please Please do not get a Data Science degree, even if you want to be a Data Scientist"
2 posts

Products Discussed in r/datascience

Bi Tool

25 reviews
#1
Microsoft
3.8★ from 5 reviews
#2
FineReport
5.0★ from 2 reviews
#3
Tableau
4.0★ from 2 reviews

Framework

22 reviews
#1
Streamlit
4.5★ from 6 reviews
#2
Shiny
4.3★ from 4 reviews
#3
Dash
4.0★ from 4 reviews

Etl Tool

16 reviews
#1
Fivetran
4.0★ from 2 reviews
#2
Informatica
4.0★ from 2 reviews
#3
dbt
4.0★ from 2 reviews

Flair Used in r/datascience

#1
Discussion
: "Anyone who's never worked at FAANG or big tech, do you have regrets about it?"
43 posts
#2
ML
: "Screwed up a model in production, feeling super anxious"
13 posts
#3
Analysis
: "Data Colada finds evidence of altered data in a fifth Francesca Gino paper, a 2011 leadership study with 900+ citations"
10 posts
#4
Career | US
: "Is anyone else seeing more relaxed coding rounds lately?"
8 posts
#5
Projects
: "Recommendation Systems resources"
8 posts
#6
Tools
: "mizu: a new tool to speed up parallel data science workflows"
7 posts
#7
Statistics
: "The problem is noise, not N. Why increasing the sample size isn't all that"
5 posts
#8
AI
: "Is AI more dangerous than the Nuclear Arms Race?"
2 posts
#9
Coding
: "Wolverine Trading Data Scientist OA"
2 posts
#10
Education
: "When is it okay to remove outliers?"
2 posts

Member Growth in r/datascience

Yearly
+75k members(2.8%)

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About

GummySearch helps people research Reddit communities by organizing activity, growth, themes, and post-level signals into one place.

This page gives a focused view of r/datascience, including current member size, discussion patterns, product reviews, and related communities to explore.

This data is synced periodically so insights stay current and useful for ongoing research.

Last updated: November 12, 2026