Join the Humyns of AI

We connect you to meaningful data science projects so that you can hone your skills, do what you love, and make a real impact.

Join the Community

Changing the way data science work gets done... for good.

The way we work is changing...

We want to be valued for the merit of our contribution, not where we went to school, or who we know.

We want to work where we want, when we want.

We want to use our skills to make an impact and leave the world a better place.

We can make it happen together.

You'll be in good company.

Join thousands of top data scientists and engineers from around the world.

Spain

Francisco Noa Gutiérrez

Prediction
ML Eng
Explainable AI
"I take part because I am passionate about data science, and because I want to become better every day and this is the best way for me."

France

Konstantina Kontoudi

Prediction
Explainable AI
"Participating in competitions allows me to explore different business domains and sharpen my modeling skills. All the competitions I've participated in deal with problems unrelated to cybersecurity, my day-to-day subject as Lead Data Scientist at DataDome.

Morocco

Mohamed Chahhou

Prediction
Regression
"I started participating in competitions to learn and practice. Most competitions are challenging, interesting and provide real world data from different fields. This not only allows me to learn new approaches to solve a problem but also to learn about the field itself. And as a Professor, it sometimes inspires me to find interesting research projects."

Singapore

Utkala Mohanty

Prediction
Explainable AI
"I take part because it is a great opportunity to tackle different challenges based on live industry data. I have honed my data science skills by participating in the competitions. It has opened my eyes to new machine learning techniques, as well as the different approaches by other teams to solving the same problem."

Portugal

Konstanin Yakovlev

Prediction
Regression
"DS/ML competitions reveal your limits and current knowledge. You have to push yourself one step further, expand your comfort zone, constantly learn and adapt. Participating in DS/ML competitions for more than four years now, and during this period in my life I've met incredible people - open-minded, passionate, intelligent. DS community helped me a lot to evolve, and I'll be forever grateful for it."

Join the community and find your opportunity.

Join the Community
Francisco Noa Gutiérrez
Data Scientist, Ayesa

"Very happy to have been able to provide a valuable solution to a real problem in the industry."

Connect with leading companies engaging the community.

How it works

1
Join the community
Start by creating your account
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2
Tell us a bit about yourself

Your profile will help us match you to the best opportunities, and will help introduce you to your peers.

3
Participate in projects

We'll connect you to great opportunities and data science projects. This is your time to shine. Showcase your skills, earn money, and make an impact.

Why Humyn.ai?

Like you, we believe in the power of human ingenuity to address our biggest challenges.

Like you, we celebrate those who put in the effort to master difficult skills.

If you’re ready to do your best work and support your peers, we'll connect you to the opportunities to make it happen.

Justin Strharsky

Founder

Find your next opportunity and do more of what you love.

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Showcase your skills and capabilities.
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Build solutions that make an impact.
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Win significant cash and prizes.
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Advance your career.

Get to the top of your game, and stay there.

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Hone your skills.
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Learn the latest techniques and technologies.
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Access real-world data from real companies.
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Collaborate with subject matter experts from industry.

Find your next opportunity.

Ready to join your peers and find your next opportunity?

Join the Community

Konstantina Kontoudi

Lead Data Scientist
Data Dome

"What I particularly enjoy about Humyn.ai competitions is the pragmatism: the pipeline very much resembles what one can do to deploy a model in production and the training resources are limited, just like in real life. In this way, ingenious solutions are more likely to be rewarded than very resource-heavy training and model ensembling."

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