Data Scientist at Dataiku
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Job Description
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The role of a Data Scientist at Dataiku is unique. Our Data Scientists develop solutions to real-world problems and participate in client-facing endeavors throughout the customer journey. This includes supporting their discovery of the platform, helping integrate Dataiku with other tools and technologies, providing user training, and co-developing data science projects from design to deployment.
Just as non-technical skills are important, so are technical skills. Our Data Scientists work on the Dataiku platform daily. Aside from the visual tools, our team mostly uses Python, with occasional work in other languages (e.g., R, SQL, PySpark, JavaScript). An ideal candidate is excited to teach customers data science, how to use the Dataiku platform, and learn about new technologies.
How you'll make an impact
- Help users discover and master the Dataiku platform via user training, office hours, demos, and ongoing consultative support.
- Analyze and investigate various data and machine learning applications across industries and use cases.
- Provide strategic input to the customer and account teams to help our customers succeed.
- Scope and co-develop production-level data science projects with our customers.
- Mentor and help educate data scientists and other customer team members to aid in career development and growth.
What you'll need to be successful
- German - native, English - fluent/native
- Curiosity and a desire to learn new technical skills
- Empathy and an eagerness to share your knowledge with colleagues, Dataiku’s customers, and the general public
- Ability to clearly explain complex topics to technical as well as non-technical audiences
- Over 5 years of experience with coding (Python, R, SQL)
- Over 5 years of experience building ML models
- Understanding underlying data systems and platform mechanics, such as Cloud architectures, Kubernetes (K8S), Spark, and SQL
What will make you stand out
- Experience with Consulting and/or Customer-facing Data Science roles
- Experience with Data Engineering or MLOps
- Experience developing WebApps in JavaScript, RShiny, or Dash
- Experience building APIs
- Experience using enterprise data science tools
- Passion for teaching or public speaking
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Dataiku
View Company ProfileDataiku is a massive, highly disruptive enterprise AI and machine learning platform fundamentally designed to democratize data science and bring "Everyday AI" to global organizations. Founded in 2013 by Florian Douetteau, Clément Stenac, Marc Batty, and Thomas Cabrol in Paris (and now headquartered in New York City), the company operates as the ultimate collaborative digital operating system for data teams. Under the hood, Dataiku seamlessly bridges the gap between advanced data scientists, data engineers, and business analysts—providing a unified, end-to-end environment for data preparation, predictive modeling, MLOps, and cutting-edge Generative AI integration. Their primary target audience spans massive Fortune 500 enterprises (including industry heavyweights like Unilever, GE, and BNP Paribas) who desperately need to break down data silos, scale their AI initiatives, and transition from clunky legacy analytics to fully automated, predictive data pipelines. What sets Dataiku apart in the fiercely competitive AI landscape is its uncompromising commitment to visual, low-code/no-code collaboration; completely empowering non-technical domain experts to build robust machine learning models while still offering deep, code-first flexibility for elite engineering teams.
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