Write for Us Data Science: Data Science Blog Guest Post Guidelines

Yes, data science guest posts are accepted on this blog. The ideal writer is a data scientist or analyst who has taken a model or analysis into a real decision and can show the result. We decline algorithm explainers and Kaggle write-ups with no business behind them, and posts promoting one platform.

Data science content is heavy on notebooks and light on impact. What this blog wants is a real project that changed a decision: the question, the messy data, the model or analysis, and what the business did with it.

My readers use data science to run a business, not to win a leaderboard. They want the problem and the decision it drove, so a data science post has to teach from a real project.

60-second data science guest post check

A strong submission can answer yes to all five points:

Have you shipped the data science work you describe
Do you have a decision or a result it drove
Does your opening answer the reader's question straight away
Have you removed any pitch for a platform or course
Could a reader learn from your approach this week

Read the guidelines and submit your guest post.

What we publish

A model or analysis that changed a business decision, start to finish
The data cleaning that took longer than the model
A model that looked great offline and failed in production
Explaining a model's output to a non-technical team
Feature work that mattered more than the algorithm
Measuring whether a model paid for itself
A forecast and how close it landed
A project you stopped and why it was the right call

If your post could be published on any data science site with the logo swapped, it is not for us.

What we don't accept

Algorithm explainers with no project behind them
Kaggle write-ups with no business problem
Posts that promote one platform or course
Previously published posts republished from another site
Thin content under 800 words with no real project

What you get

Your article in front of an engaged audience of business owners, marketers and founders
One relevant, contextual link back to your own site
A byline and the credibility of an established, high-traffic blog
Editorial help to make the piece as strong as it can be before it goes live

How to submit

Send your pitch or draft through the contact form. Include the topic, the one specific problem the post solves, and a line on your first-hand experience with it. One idea per pitch works best. You will hear back on whether it is a fit before you write the full draft.

What a strong data science pitch looks like

A weak pitch says "I want to write about the top machine learning algorithms explained." A strong one says "We built a demand forecast that looked strong in testing and drifted badly in its first month, so I want to show what we missed in the data and the monitoring we added to catch it early." One is a brochure. The other is worth reading.

The angles that get accepted fastest

A project that changed a decision
Data cleaning that outweighed the model
A model that failed in production
An approach a reader could repeat this week
A contrarian view on a data science habit

Looking for more places to pitch? The free write for us finder lists sites that take guest posts in your niche, and the free backlink checker shows what a placement is worth.

Frequently asked questions

Does Lilach Bullock accept data science guest posts?

Yes. Data Science guest posts are welcome from a data scientist or analysts and similar writers who have done the work and can share what happened. We publish practical articles with real examples and decline algorithm explainers and Kaggle write-ups with no business behind them.

What data science topics do you accept?

We accept projects that changed decisions, data cleaning, models that failed in production, explaining output to non-technical teams, feature work, and measuring model value. The common thread is a specific lesson with a result attached, not a general overview of data science.

Can I include a link back to my own site?

One contextual link back to your own site is fine when it is relevant and helps the reader. Posts written purely to build a backlink with no real value are not published.

Do you accept previously published content?

No. Every submission must be original and not published anywhere else first, including your own blog, Medium, LinkedIn, or a guest slot on another site under a different name. Republished or lightly reworded content gets declined, and we check before it goes live.

How do I submit a data science guest post?

Send your pitch through the contact form with the topic, the specific result or lesson you will cover, and a line on your own experience doing the work you are writing about. One idea per pitch works best, and you will hear back before writing a full draft.

Do you accept sponsored or commercial partnerships?

Commercial and partnership enquiries are handled separately from editorial guest posts. If you are a brand or agency wanting to work together rather than pitch an article, say so in the contact form and you will get the right details back.

How long should a data science guest post be?

There is no fixed word count, but posts that do well here usually run from 1,000 to 1,800 words. Long enough to show the example and the numbers, short enough that a busy owner finishes it. Cut anything that repeats what the reader already knows.

What makes a data science pitch stand out?

A real result in the first sentence. Say what you did, what changed and over what period, then say what the reader will be able to copy. For example: We built a demand forecast that looked strong in testing and drifted badly in its first month, so I want to show what we missed in the data and the monitoring we added to catch it early.

Brands and agencies: sponsored posts and link placements on this blog are handled separately from editorial guest posts. See how to work with me or email [email protected].