Data science notebook
Open for applications
Data science notebook
21-100 employees
Open for applications
21-100 employees
To build the best data science platform for teams.
Deepnote’s founders knew first-hand that data scientists do not work alone, hence conceived the company in 2019, offering a cloud-based notebook that promises to ease collaboration for data science professionals.
The Jupyter Notebook was the most popular of its kind existing in the market, but was weak when it came to collaboration and didn’t seem to facilitate best engineering practices. The founders didn’t get very far after trying to raise these problems with Jupyter, so figured that if they don’t build an alternative, no one else will.
The company has seen quick ascent following immediate backing from top investors and has speedily become the de facto standard for shared data science notebooks, with companies like ByteDance and Discord using its platform. Recent funding will see the company build out its product whilst expanding foothold in the data science community.
Steph
Company Specialist at Welcome to the Jungle
Few candidates hear
back within 2 weeks
Jan 2022
$20m
SERIES A
Feb 2020
$3.8m
SEED
Chinatown, San Francisco, CA
Filip Stollár
(Head of Design)Previously spent time at Improbable as a Software Engineer. Intern experience as a Software Engineer also includes at Skyscanner and Overleaf.
Jakub Jurovych
(CEO)Previously co-founded Hack Cambridge and has served as CTO for Operam and Unite. Spent 3 months as a Firefox DevTools Engineer for Mozilla.
Jan Matas
(CTO)Previous experience as a Software Engineer for Palantir Technologies and Two Sigma. Spent time as a Site Reliability Engineer for Google.
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