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.
The role of a Data Scientist at Dataiku is quite unique. Our Data Scientists not only code up solutions to real-world problems but also participate in client-facing endeavors 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 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.
Key Areas of Responsibility (What You’ll Do)
- 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
Experience (What We’re Looking For):
- 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
Bonus points for any of these:
- 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
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: [email protected]
