Senior Data Scientist (German-speaking)

Devconnectplatform; Deutschland; Remote; EUR 90,000 - 140,000; Full time

Job summary

Dataiku is seeking a Senior Data Scientist (German-speaking) to help clients discover and master the Dataiku platform, train users, and co-develop production ML solutions in a client-facing role.

You will operate remotely from Germany, collaborating with consultants and account teams to deliver impactful analytics projects, with strong emphasis on Python, SQL, and cloud-native techniques.

Qualifications

• Native German language required.
• Fluent English.
• 5+ years of coding in Python/R/SQL.
• 5+ years of ML model development.

Responsibilities

• Help customers discover and master the Dataiku platform through training, demos, and consultative support.
• Analyze and investigate data and ML applications across industries.
• Co-develop production-level data science projects with customers.
• Mentor colleagues and educate client teams on best practices.

Skills

Python

R

SQL

ML

Cloud

Kubernetes

Spark

JavaScript

Education

Bachelor's or higher in CS/Math/Stats

Tools

Dataiku platform

APIs

Job description

# Senior Data Scientist (German-speaking)DataikuSalary not statedFull-timeremote· seniorGermanypythonsqljavascriptkubernetesListed via Jobicy · posted 2 Oct 2026. The application happens there, not on DevConnect.Apply on Jobicy## DescriptionDataiku 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 language - native-level proficiency, English language - fluent/native-level proficiency- 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 SQLWhat 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#LI-JR1#L1-AH1#LI-RemoteWhat are you waiting for!At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page.Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: [e-mail] yourself from fraudulent recruitment activityDataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.