Data Scientist - Germany

Germany, Remote

Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.

We are looking for a Data Scientist to join our team in Central Europe. The role of a Data Scientist at Dataiku is quite unique. Our Data Scientists not only code solutions to real-world problems but also 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, some user training, and co-developing data science projects from design to deployment.

Just as the non-technical skills are important, so too are the technical. Our Data Scientists work on the Dataiku platform every day. Aside from the visual tools, our team uses mostly Python, with occasional work in other languages (e.g., R, SQL, PySpark, JavaScript, etc.). 

How you'll make an impact:

  • Co-develop production-level data science projects with our customers.
  • Analyse and investigate various kinds of data and machine learning applications across industries and use cases.
  • Help users discover and master the Dataiku platform via user training, office hours, and ongoing consultative support.
  • Provide data science expertise both to customers and internally to Dataiku’s sales and marketing teams.
  • Develop custom Python or R-based “plugins” in collaboration with Solutions, R&D, and Product teams, to enhance Dataiku’s functionality.

What you'll need to be successful:

  • English - fluent, German - advanced to fluent.
  • The ability to clearly explain complex topics to technical as well as non-technical audiences.
  • Bachelor’s or Master’s Degree in a relevant field such as Computer Science, Data Science, Machine Learning, or other related discipline.
  • 1-4 years of experience with ML tools (e.g., Python, R).
  • 1- 4 years of experience building models.  
  • Familiarity with data visualisation in Python and R.
  • Understanding of underlying data systems such as Cloud architectures, Hadoop, or SQL.

#LI-Hybrid

 
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: 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.

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