高级数据科学家 (德语流利)
Senior Data Scientist (German-speaking)
Dataiku 是 AI 成功的平台，是企业级 AI 构建、部署和治理的协调层。在一个统一的环境中，团队可以设计和运营分析、机器学习和 AI 代理，满足企业所需的透明度、协作和控制。位于数据平台、云基础设施和 AI 服务之上，Dataiku 连接完整的企业 AI 堆栈——使组织能够在多供应商环境中运行 AI，并实现集中化治理。
全球领先的公司依赖 Dataiku 来实现 AI 的落地，并将其作为真正的业务绩效引擎，带来可衡量的价值。更多内容，请访问 Dataiku 博客、LinkedIn、X 和 YouTube。
在 Dataiku，数据科学家的角色独具特色。我们的数据科学家解决现实世界的问题，并在整个客户旅程中参与面向客户的活动。这包括帮助客户发现该平台，协助将 Dataiku 与其他工具和技术集成，提供用户培训，并与客户共同开发从设计到部署的数据科学项目。
正如非技术技能很重要一样，技术技能同样重要。我们的数据科学家每天都在 Dataiku 平台上工作。除了可视化工具外，我们团队主要使用 Python，偶尔也会使用其他语言（例如 R、SQL、PySpark、JavaScript）。理想的候选人对教授客户数据科学、如何使用 Dataiku 平台以及了解新技术充满热情。
你将如何产生影响
- 通过用户培训、办公时间、演示和持续的咨询支持，帮助用户发现并掌握 Dataiku 平台。
- 分析和研究跨行业和用例的各种数据和机器学习应用。
- 为客户和客户团队提供战略建议，帮助我们的客户取得成功。
- 与客户共同规划和开发生产级别的数据科学项目。
- 指导和帮助教育数据科学家和其他客户团队成员，以促进职业发展和成长。
你需要具备的条件
- 德语 - 母语水平，英语 - 流利/母语水平
- 具有好奇心，渴望学习新的技术技能
- 具有同理心，乐于与同事、Dataiku 的客户和公众分享你的知识
- 能够向技术人员和非技术人员清晰地解释复杂的话题
- 5 年以上编码经验（Python、R、SQL）
- 5 年以上构建 ML 模型的经验
查看英文原文
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
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.
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:
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.
Originally posted on Himalayas