/r/datascience/

r/datascience

2.7M members
r/datascience is a subreddit with 2.7M members. The most common kinds of discussions are advice requests and pain & anger, and the community frequently discusses data science, looking for, struggling, data, and ai, and they frequently recommend/review data visualization tool, visualization tool, and bi 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
: "Do interviews also take over your personal life?"
28 posts
#2
Pain & Anger
: "After 5 years in data science, I’m starting to realize most “insights” we deliver are completely ignored. Is this normal?"
8 posts
#3
Solution Requests
: "Databricks for data science?"
2 posts
#4
Opportunities
: "Job search was massively easier than just a year ago"
2 posts
#5
Ideas
: "Ideas on a Forecasting Problem"
1 post
#6
Self-Promotion
: "I'm doing a free webinar on my experience building agentic analytics systems at my company"
1 post
#7
News
: "What hiring managers actually care about (after screening 1000+ portfolios)"
1 post

Popular Topics in r/datascience

#1

Data Science

: "After 5 years in Data Science, I’m starting to realize most “insights” we deliver are completely ignored. Is this normal?"
93 posts
#2

Looking For

32 posts
#3

Struggling

: "Data Science interview questions from my time hiring"
31 posts
#4

Data

: "I built a full-text search CLI for all your Databases and docs"
29 posts
#5

Ai

: "arXiv will ban researchers for a year if generative Ai use isn't kept in check"
24 posts
#6

Tired

: "I got an IC6 offer at Meta! Here's what the comp looks like, and a free SQL and Product Sense case interview"
18 posts
#7

Interviews

: "My experience after final round Interviews at 3 tech companies"
17 posts
#8

Machine Learning

: "HoW DO I gEt a jOB I toOk a cOUrSe in Machine Learning"
15 posts
#9

Job

: "I got an IC6 offer at Meta! Here's what the comp looks like, and a free SQL and Product Sense case interview"
11 posts
#10

Interview

: "Data Hiring Is Getting Longer in 2026: 24.9 Interview Hours Per Hire"
11 posts

Products Discussed in r/datascience

#1
Plotly
4.5 from 24 reviews
#2
Seaborn
4.5 from 19 reviews
#3
Matplotlib
4.1 from 15 reviews
#1
Plotly
4.7 from 15 reviews
#2
Seaborn
4.9 from 8 reviews
#3
Bokeh
4.7 from 6 reviews

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

Flair Used in r/datascience

#1
Discussion
: "Warning: Don't get GPT-brained"
115 posts
#2
Career | US
: "A decade of being an average Data Scientist! My personal experience."
29 posts
#3
Projects
: "How I scraped 5.3 million jobs (including 5,335 data science jobs)"
10 posts
#4
Analysis
: "Built a dashboard to analyze how AI skills are showing up in data science job postings (open source)"
9 posts
#5
ML
: "HoW DO I gEt a jOB I toOk a cOUrSe in MachINE LEArnING"
8 posts
#6
Tools
: "Fun matplotlib upgrade"
7 posts
#7
Education
: "Spark SQL refresher suggestions?"
4 posts
#8
Statistics
: "Why is backward elimination looked down upon yet my team uses it and the model generates millions?"
3 posts
#9
Coding
: "Easiest Python question got me rejected from FAANG"
2 posts
#10
Career | Asia
: "Is Gen AI the only way forward?"
2 posts

Member Growth in r/datascience

Yearly
+73k members(2.7%)

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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: June 8, 2026