Dataiku
Dataiku is the platform for Everyday AI, systemizing the use of data for exceptional business results. Organizations that use Dataiku elevate their people (whether technical and working in code or on the business side and low- or no-code) to extraordinary, arming them with the ability to make better day-to-day decisions with data.More than 450 companies worldwide use Dataiku to systemize their use of data and AI, driving diverse use cases from fraud detection to customer churn prevention, predictive maintenance to supply chain optimization, and everything in between.
Data Science • Machine Learning • Data Science Platform • Collaborative Data Science • End-to-End Data Science Platform
1001 - 5000 employees
💰 $400M Series E on 2021-08
Software Engineer - Fullstack
February 16
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Dataiku
Dataiku is the platform for Everyday AI, systemizing the use of data for exceptional business results. Organizations that use Dataiku elevate their people (whether technical and working in code or on the business side and low- or no-code) to extraordinary, arming them with the ability to make better day-to-day decisions with data.More than 450 companies worldwide use Dataiku to systemize their use of data and AI, driving diverse use cases from fraud detection to customer churn prevention, predictive maintenance to supply chain optimization, and everything in between.
Data Science • Machine Learning • Data Science Platform • Collaborative Data Science • End-to-End Data Science Platform
1001 - 5000 employees
💰 $400M Series E on 2021-08
📋 Description
• Dataiku is leading the AI revolution with a data actionable platform. • Contribute to building Dataiku DSS core features focusing on data preparation, visualization, AI, MLOps, and platform security.
🎯 Requirements
• Significant experience in software engineering, building real products. • Hiring at all levels (junior, mid, senior). • Passion for combining backend performance with exceptional frontend user experience. • Willingness to work in a fast-paced, high-growth environment valuing diversity, talent, and engineering challenges.
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