At Dataiku, we're not just adapting to the AI revolution, we're leading it. Since our beginning in Paris in 2013, we've been pioneering the future of AI with a platform that makes data actionable and accessible. With over 1,000 teammates across 25 countries and backed by a renowned set of investors, we're the architects of Everyday AI, enabling data experts and domain experts to work together to build AI into their daily operations, from advanced analytics to Generative AI.
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 and SQL, with occasional work in other languages (e.g., R, Pyspark, JavaScript, etc.). An ideal candidate is excited to learn complex new technologies and modeling techniques while being able to explain their work to other data scientists and clients.
- Scope and co-develop production-level data science projects with our customers across different industries and use cases
- Help users discover and master the Dataiku platform via user training, office hours, and ongoing consultative support
- Provide strategic input to the customer and account teams to help our customers succeed
- Provide data science expertise both to customers and internally to Dataiku’s sales and marketing teams
- Contribute to 1 internal asset (internal best practice or external blog post/project on the public gallery) per year
- 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
- The ability to clearly explain complex topics to technical as well as non-technical audiences
- Experience with Python and SQL
- Experience with building ML models and using ML tools (e.g., sklearn)
- Familiarity with LLM
- Understanding of underlying data systems such as Cloud architectures and SQL
- Experience using Dataiku DSS
- Experience with Consulting and/or Customer-facing Data Science roles
- Experience in the Manufacture & Defense sector
- Experience with Data Engineering or MLOps
- Experience developing WebApps with Python frameworks (Dash, Streamlit) or in Javascript
- Experience building APIs
- Passion for teaching or public speaking
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