r/datascience is a subreddit with 2.8M members. The most common kinds of discussions are advice requests and pain & anger, and the community frequently discusses data science, ai, looking for, data, and struggling, 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
: "Do interviews also take over your personal life?"
30 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?"
10 posts
#3
Opportunities
: "Job search was massively easier than just a year ago"
2 posts
#4
Solution Requests
: "Databricks for data science?"
1 post
#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?"
98 posts
#2
Ai
: "New Study Finds Ai May Be Leading to “Workload Creep” in Tech"
33 posts
#3
Looking For
32 posts
#4
Data
: "I built a full-text search CLI for all your Databases and docs"
29 posts
#5
Struggling
: "Data Science interview questions from my time hiring"
25 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"
18 posts
#8
Machine Learning
: "HoW DO I gEt a jOB I toOk a cOUrSe in Machine Learning"
16 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"
9 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
: "Warning: Don't get GPT-brained"
113 posts
#2
Career | US
: "A decade of being an average Data Scientist! My personal experience."
30 posts
#3
Projects
: "How I scraped 5.3 million jobs (including 5,335 data science jobs)"
9 posts
#4
ML
: "HoW DO I gEt a jOB I toOk a cOUrSe in MachINE LEArnING"
9 posts
#5
Analysis
: "Built a dashboard to analyze how AI skills are showing up in data science job postings (open source)"
9 posts
#6
Tools
: "Fun matplotlib upgrade"
7 posts
#7
Education
: "Spark SQL refresher suggestions?"
4 posts
#8
Career | Europe
: "I've interviewed with 100+ companies during my career. Here are some high-level notes on DS/ML job hunting"
3 posts
#9
Statistics
: "Why is backward elimination looked down upon yet my team uses it and the model generates millions?"
3 posts
#10
AI
: "AI Overuse Follow-up"
3 posts
Member Growth in r/datascience
Yearly
+73k members(2.7%)
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This page gives a focused view of r/datascience, including current member size, discussion patterns, product reviews, and related communities to explore.
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Last updated: June 16, 2026