Dataiku
via Greenhouse
Senior Data Scientist (German-speaking)
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 2d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 5d ago
The date the source published, not the day we noticed it (2026-09-09). Last seen at its source 4h ago.
Is it remote?
Germany, Remote
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
Germany
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay £74k–98.8k/yr
Middle 50% of 12 listings that do state pay — Operations · all levels · EMEA · GBP/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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greenhouse employer's own board first seen 5d ago · last seen 4h ago
The listing
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack - empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
The role of a Data Scientist at Dataiku is unique. Our Data Scientists develop solutions to real-world problems and participate in client-facing endeavours 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.
- Analyse 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 your 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, 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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