📰 Reddit r/datascience

Articles from Reddit r/datascience · 25 articles · Updated every 3 hours · View all reads

I work as a DS in a faang. In Faangs, the DS are siloed off to an extent and the machine learning work is done by applied scientists or MLE software engineers.

Reddit r/datascience 1d ago

Should every project have ai in it to make it impressive nowadays

so recently i made a recommendation system project, because i really like movies, so thought this is a cool idea https://moviearsenal.streamlit.app/ was about t

Reddit r/datascience 1d ago

Clustering products by text

For a furniture/decor business, how would you go about clustering products based on their title, description, dimensions ( weight..). First objective is to get

Reddit r/datascience 2d ago

Weekly Entering & Transitioning - Thread 13 Apr, 2026 - 20 Apr, 2026

Welcome to this week's entering & transitioning thread! This thread is for any questions about getting started, studying, or transitioning into the data sci

Reddit r/datascience 4d ago

How many production ML/AI projects do you complete in a year?

Wondering what it looks like at other companies. I usually deliver around 3 or 4 ML/AI projects each year. I’m also expected to do multiple analyses separate fr

Reddit r/datascience 4d ago

In industries with long timelines for benchmarks and measurement outcomes, turnover is the killer of analytics and decision making culture.

When the very leadership accountable for the outcomes have moved on to another position before the results are in, analytics results are intrinsically devalue

Reddit r/datascience 4d ago

What I learned analysing Kaggle Deep Past Challenge

I fell into a rabbit hole looking at Kaggle’s Deep Past Challenge and ended up reading a bunch of winning solution writeups. Here's what I learned At first glan

Reddit r/datascience 4d ago

Defining a new analysis: help defining the feature space

I am weighing creating an informal analysis of innovation and its effect on economic performance. So far, I have the following data pulled; from a preliminary l

Reddit r/datascience 5d ago

Senior level DS at FAANG - what coding interviews to expect

Worked at FAANG up until a month ago as mid level DS and now I'm getting callbacks for senior level roles from similar companies. My stats intuition/case studie

Reddit r/datascience 5d ago

I stopped re-explaining my database schemas to AI agents

Hi r/datascience 👋

Reddit r/datascience 5d ago

Trying to find example repositories for pyiceberg

My company is trying to move away from Google bigquery. Currently we decided on the following stack: - pyiceberg for our storage - prefect for our orchestration

Reddit r/datascience 6d ago

Built a dashboard to analyze how AI skills are showing up in data science job postings (open source)

I've been scraping thousands of U.S. data science jobs for the past couple of months and writing about the findings in my newsletter. At some point, I figured t

Reddit r/datascience 1w ago

I’m really excited to share my latest blog post where I walkthrough how to use Gradient Boosting to fit entire Parameter Vectors, not just a single target prediction.

I’ve always wanted to explore the idea that boosted trees could fit entire coefficients of parameters of a distribution instead of only being able to predict a

Reddit r/datascience 1w ago

Precision and recall > .90 on holdout data

I'm running ML models (XGBoost and elastic net logistic regression) predicting a 0/1 outcome in a post period based on pre period observations in a large unbala

Reddit r/datascience 1w ago

How do you think AI will impact data science jobs?

Would love to hear everyone’s thoughts? I’ve been seeing some pretty impressive new tools that I think have serious implications for data science jobs. submitte

Reddit r/datascience 1w ago

Do MLEs actually reduce your workload in your job?

Maybe I’m wrong, but I feel like in the bigger companies I have worked for, the “client - provider” kind of setup for MLEs / MLOps people and Data Scientists is

Reddit r/datascience 1w ago

Weekly Entering & Transitioning - Thread 06 Apr, 2026 - 13 Apr, 2026

Welcome to this week's entering & transitioning thread! This thread is for any questions about getting started, studying, or transitioning into the data sci

Reddit r/datascience 1w ago

For all those working on MDM/identity resolution/fuzzy matching

submitted by

Reddit r/datascience 1w ago

Clustering custumersin time

How would you go about clusturing 2M clients in time, like detecting fine patters (active, then dormant, then explosive consumer in 6 months, or buy only catego

Reddit r/datascience 1w ago

What domains are easier to work in/understand

I currently work in social sciences/nonprofit analytics, and I find this to be one of the hardest areas to work in because the data is based on program(s) speci

Reddit r/datascience 1w ago

MCGrad: fix calibration of your ML model in subgroups

Hi r/datascience We’re open-sourcing MCGrad , a Python package for multicalibration–developed and deployed in production at Meta. This work will also be present

Reddit r/datascience 1w ago

Any good resources for Agentic Systems Design Interviewing (and also LLM/GenAI Systems Design in general)?

I am interviewing soon for a DS role that involves agentic stuff (not really into it as a field tbh but it pays well so). While I have worked on agentic applica

Reddit r/datascience 1w ago

How to prepare for ML system design interview as a data scientist?

Hello, I need some advice on the following topic/adjacent. I got rejected from Warner Bros Discovery as a Data Scientist in my 2nd round. This round was taken b