Share what you know with the people who need it
Towards Data Science publishes original, practitioner-written articles on data science, machine learning, and AI engineering. If you've built something worth explaining, we'd like to help you reach the right audience.
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What we publish
TDS covers the full spectrum of data science and AI — from foundational tutorials to production horror stories. Here's what our readers come looking for.
Machine Learning
Algorithms, model training, evaluation, deployment, MLOps pipelines
AI Engineering
LLMs in production, RAG, agents, prompt engineering, fine-tuning
Data Engineering
Pipelines, warehousing, real-time systems, data quality, orchestration
Data Science
Analysis, statistics, visualization, experimentation, causal inference
Programming
Python, R, SQL, software design, tools and libraries
Industry & Career
Career paths, hiring, team building, AI ethics, responsible AI
Get paid for your work
TDS authors can apply to our Author Payment Program and earn money from every article they publish. The more your work resonates with readers, the more you earn.
How it works
Our process is straightforward, and our editors are responsive. Here's what to expect.
1
Write your article
We expect original content that fits within the aforementioned topics our readers crave. Cite your sources, and include a clear title, subtitle, and at least one strong visual.
2
Submit through our form
Send us your article using our
submission form. Include a short note about what the piece covers and why it's timely.
3
Editorial review
Our editors review every submission for technical accuracy, clarity, and relevance. We'll get back to you within a week — usually faster.
4
Publish and promote
Accepted articles go live on TDS with full SEO optimization. Every piece is featured on our homepage, shared across our social channels, and included in our newsletter.
What makes a strong submission
Our readers trust TDS because we hold a high editorial bar, and that bar is what makes publication here meaningful. Here's what the strongest submissions have in common.
✓A clear, specific topic. “How I built a RAG pipeline for legal documents” beats “An Introduction to RAG” every time. Specificity is what sets your piece apart.
✓Real technical depth. Our readers are practitioners. They want to see the how and the why — not just the what. Show your code, your reasoning, your tradeoffs.
✓A timely angle. Why does this matter right now? A new tool, a shift in best practices, a lesson from a recent project — anchor your piece to something current.
✓Clean writing. You don’t need to be a professional writer. But proofread your work, structure it logically, and make every paragraph earn its place.
✓Your own images and diagrams. Visuals make complex ideas accessible. A well-made flowchart or graph can be the difference between a good article and a great one.
✓Original work. Everything you submit must be your own. Cite your sources, credit your data, and never present someone else’s work as yours.
Before you submit:
We've kept this page focused on what matters most. For the full details on formatting, images, data licensing, code display, and more, check these resources:
Have something worth sharing?
We review every submission and typically respond within a week. If you have questions before submitting, reach out at publication@towardsdatascience.com.