Dataiku allows enterprises to create value with their data in a human-centered way while breaking down silos and encouraging collaboration. One of the most unique characteristics of our product, Dataiku, is the breadth of its scope and the fact that it caters both to technical and non-technical users. With Dataiku, we aim to empower people through data and democratize data science.
Dataiku’s promise to our customers is to provide them with the software and support needed to accelerate their Data Science and Machine Learning maturity. Dataiku’s Data Science team is responsible for delivering on that promise. Internally, we call the team the DataFab, ask us about it!
As a Data Scientist at Dataiku, you will have the opportunity to participate in our customer's journey, from supporting their discovery of the platform, it's installation and configuration, to training users and co-developing data science applications, from design to deployment.
You will get hands-on experience coding in multiple languages and applying the latest big data technologies to business uses cases.
Our ideal candidate is comfortable learning new languages, technologies, and modeling techniques while being able to explain their work to other data scientists and clients.
What you'll do...
Co-develop data science projects with our customers
Crunch, analyze and investigate various kinds of data, across industries and use cases
Explore new machine learning algorithms, and apply them to real-world business applications
Deploy Machine Learning models to production, and develop its integration or front-end (e.g. a predictive webapp)
Help users discover the Dataiku platform and to master its use by providing trainings to users with a wide range of backgrounds and skill levels (data science, IT, analysts, managers, etc…)
Communicate results to non-technical colleagues and clients
Provide data science expertise to customers and internally to Dataiku’s sales, marketing, and R&D teams
Who you are...
Curiosity and a desire to learn new topics and skills
Empathy for others and an eagerness to share your knowledge and expertise with your colleagues, Dataiku’s customers, and the general public
2+ years of experience with R or Python
2+ years of experience with predictive modeling
Familiarity with data visualization in Python, R or JavaScript
Understanding of relational data structures and SQL
Ability to speak German
Bonus points for any of these
Experience with PySpark, SparkR or Scala
Experience developing WebApps
Experience building APIs
Experience with cloud infrastructures, especially Kubernetes
Passion for teaching or public speaking
Benefits
Exposure to a wide range of enterprise customers across industries. Examples of Dataiku’s hundreds of customers include GE, Unilever, Comcast, Ubisoft, OVH, Santander, and Capgemini.
A wide diversity of projects and tasks ensures that no two days will be alike
Opportunity to contribute to the core vision of our company and product: simplify and democratize the way people work with data and use Artificial Intelligence
Exposure to the latest, open-source technologies that Dataiku integrates. See here our release notes for our latest developments.
Trips in Europe and worldwide for company-wide and team summits
Opportunity to work with a smart, passionate and driven team in hypergrowth mode
Please make sure to submit your resume in English
To fulfill its mission, Dataiku is growing fast! In 2019, we achieved unicorn status, doubled in size and opened new offices across the globe. 2020 looked no different as we announced a $100 million Series D in August! We are now more than 600 Dataikers globally. Spanning from Sydney to Frankfurt, Denver to London, geography (and remote work) doesn’t stop Dataikers from working closely together and sharing experiences. Collaboration is key within our product and culture. We strive to create a sense of belonging and community while fostering diverse thinking by encouraging cross-team, cross-office interactions like our annual company offsite or Paris onboarding. Fly over to Twitter, LinkedIn, and Instagram to read stories about our culture, people, and success.