
1001 - 5000 employees
đź Consulting
đŚ Logistics
đĽ Healthcare
đ° $400M Series E on 2021-08
Consulting ⢠Logistics ⢠Healthcare
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.
đĽ 17 hours ago
đŁď¸đŠđŞ German Required
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1001 - 5000 employees
đź Consulting
đŚ Logistics
đĽ Healthcare
đ° $400M Series E on 2021-08
Consulting ⢠Logistics ⢠Healthcare
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.
⢠Help users discover and master the Dataiku platform via user training, office hours, demos, and ongoing consultative support ⢠Analyse and investigate data and machine learning applications across industries and use cases ⢠Provide strategic input to customer and account teams ⢠Scope and co-develop production-level data science projects with customers ⢠Mentor and educate data scientists and other customer team members ⢠Support platform discovery, integration with other tools and technologies, user training, and data science projects from design to deployment
⢠German - native, English - fluent/native ⢠Curiosity and a desire to learn new technical skills ⢠Ability to clearly explain complex topics to technical and non-technical audiences ⢠Over 5 years of experience with coding (Python, R, SQL) ⢠Over 5 years of experience building ML models ⢠Understanding of cloud architectures, K8S, Spark, SQL, and underlying data systems and platform mechanics ⢠Experience with Consulting and/or Customer-facing Data Science roles (standout qualification) ⢠Experience with Data Engineering or MLOps (standout qualification) ⢠Experience developing WebApps in JavaScript, RShiny, or Dash (standout qualification) ⢠Experience building APIs (standout qualification) ⢠Experience using enterprise data science tools (standout qualification) ⢠Passion for teaching or public speaking (standout qualification)
⢠Equal opportunity employment practices ⢠Reasonable accommodation support ⢠Personal growth opportunities ⢠Innovation and collaboration-focused work environment
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