[All remote jobs](https://jobicy.com/jobs.md)[![Dataiku logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2026/06/5a9d57bf-221.webp)](https://jobicy.com/company/dataiku.md)[Dataiku](https://jobicy.com/company/dataiku.md) # Senior Data Scientist (German-speaking) Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/dataiku.md)ShareRemote from[Germany](https://jobicy.com/job-region/germany.md)SalaryUndisclosedDepartment[Data Science & Analytics](https://jobicy.com/categories/data-science.md)EmploymentFull TimeExperienceSeniorPublished2 Oct 2026Apply before1 Nov 2026Listing views31Application actions1Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. AI Summary ## The role, at a glance. This is a senior, customer-facing data science role focused on helping German-speaking enterprise clients adopt and operationalize the Dataiku platform. The position combines hands-on machine learning development, solution design, technical consulting, user training, and production project delivery. Candidates need more than five years of Python, R, SQL, and ML-modeling experience, alongside knowledge of cloud architectures, Kubernetes, Spark, and data platforms. Native-level German and fluent English are essential because the role requires clear communication with technical and non-technical stakeholders. Experience in consulting, MLOps, APIs, and teaching customers is especially valuable. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 4/5RelaxedFast-paced ### Autonomy Level 4/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThe role requires deep applied data science expertise while simultaneously advising, training, and co-developing solutions with enterprise customers. Success depends on independently translating ambiguous business needs into production-ready ML and platform solutions in both German and English. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job medianMarket rate$160,000US market range$135k–$190k0$209k AI insightNo actual salary, pay range, or other role-specific compensation was disclosed. The figures are estimated annual USD base-salary benchmarks for a US-market senior, customer-facing data scientist with enterprise ML, cloud, and consulting responsibilities; actual Germany-based compensation may differ materially. ## Core skills Skills and capabilities most closely associated with this opportunity. [Python](https://jobicy.com/jobs?search_keywords=Python.md)[Machine Learning](https://jobicy.com/jobs?search_keywords=Machine%20Learning.md)[SQL](https://jobicy.com/jobs?search_keywords=SQL.md)[R](https://jobicy.com/jobs?search_keywords=R.md)[Dataiku](https://jobicy.com/jobs?search_keywords=Dataiku.md)[Customer Consulting](https://jobicy.com/jobs?search_keywords=Customer%20Consulting.md)[Cloud Architecture](https://jobicy.com/jobs?search_keywords=Cloud%20Architecture.md)[Kubernetes](https://jobicy.com/jobs?search_keywords=Kubernetes.md)[Apache Spark](https://jobicy.com/jobs?search_keywords=Apache%20Spark.md)[MLOps](https://jobicy.com/jobs?search_keywords=MLOps.md) Sample interview questionsDescribe a machine learning solution you took from initial business problem through production deployment.I would explain how I clarified the decision to be improved and success metrics, assessed data quality, built a reproducible feature and modeling pipeline, validated performance and risk, and partnered with engineering to deploy monitoring and retraining processes. I would quantify the business result and describe lessons learned after release. How would you train a mixed technical and business audience to use Dataiku effectively? I would begin with the audience's use cases and baseline skills, then combine a short conceptual overview with hands-on exercises using representative data. I would use layered explanations, provide reusable project templates and documentation, and reinforce learning through office hours and follow-up sessions. How do you explain an advanced model to a non-technical customer stakeholder? I would lead with the business decision, expected value, limitations, and required actions rather than algorithmic detail. I would use simple visuals and concrete examples, explain the major drivers of predictions, and be transparent about uncertainty, governance, and monitoring. What considerations are important when deploying an ML workload across cloud, Spark, and Kubernetes environments? I would assess data access and security, environment reproducibility, compute scalability, dependency management, CI/CD, observability, and cost controls. I would also define ownership, model and data versioning, rollback procedures, and drift monitoring before production release. How would you handle a customer whose requested ML solution is not feasible with the available data? I would communicate the finding early and clearly, showing the evidence from data exploration and validation. Then I would propose practical alternatives, such as improving data collection, reframing the target, using a simpler analytics approach, or delivering a phased proof of value with measurable criteria. Opportunity details ## About this role. [Dataiku](https://www.dataiku.com/?utm_source=newswire&utm_medium=press-release&utm_campaign=PlatformforAISuccess) 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](https://blog.dataiku.com/?_gl=1*17edvf4*_ga*MjA1Mjk5NzY4OC4xNjY3MjMyMDUz*_ga_B3YXRYMY48*MTY2OTA1MDY5NS4xMi4xLjE2NjkwNTA2OTguNTcuMC4w), [LinkedIn](https://www.linkedin.com/company/dataiku/), [X](https://x.com/dataiku), and [YouTube](https://www.youtube.com/dataiku). 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 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 #LI-JR1 #L1-AH1 #LI-Remote What 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](https://www.linkedin.com/company/dataiku/). 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: [reasonable-accommodations@dataiku.com](http://reasonable-accommodations@dataiku.com/) Protect yourself from fraudulent recruitment activity Dataiku 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.](https://www.dataiku.com/legal/dataiku-recruitment-scams/) Show more [Apply now >](https://jobicy.com/jobs/154424-senior-data-scientist-german-speaking.md) > Annual salary information is not provided for this position. 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