Dataiku is a data science and machine learning platform that enables organizations to build, deploy, and manage predictive models and data applications. It provides tools for data preparation, exploration, visualization, and advanced analytics, facilitating collaboration between data scientists, analysts, and business users.
About Dataiku
Dataiku was created in 2013 by Florian Douetteau, Clément Stenac, Thomas Cabrol, and Marc Batty. It was developed to provide a comprehensive platform for data science and analytics, aiming to simplify the process of building and deploying machine learning models while fostering collaboration among data professionals.
Strengths of Dataiku include its user-friendly interface, strong collaborative features, and comprehensive tools for data preparation and model deployment. Weaknesses may involve high costs for large-scale deployments and a potential learning curve for new users. Competitors include platforms like Alteryx, Databricks, and RapidMiner.
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How to hire a Dataiku expert
A Dataiku expert must have skills in data preparation and cleaning, proficiency in programming languages like Python or R, experience with machine learning model development and deployment, knowledge of SQL for database interactions, and familiarity with data visualization techniques.
*Estimations are based on information from Glassdoor, salary.com and live Howdy data.
USA
$ 224K
Employer Cost
$ 127K
Employer Cost
$ 97K
Benefits + Taxes + Fees
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