The role of a Sr 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 that help make our customers successful.
- Provide data science expertise both to customers and internally to Dataiku’s sales and marketing teams
- Lead technical data science projects pre-sales scoping and design appealing proposals
- Flag technical and non-technical account risks (onboarding issues, performance pitfalls, timeline slippage)
- Develop custom Python-based “plugins” in collaboration with Solutions, R&D, and Product teams, to enhance Dataiku’s functionality
- Lead 1 Referent Data Scientist engagements: you will be the referent Data Scientist for one of our main customers in the Manufacturing & Defense industry. You will coordinate agile sprints, prioritize tasks, estimate effort, do backlog grooming
- Run demo booth/tech talk duties at company public events (e.g. Everyday AI)
- Lead Junior Data Scientist technical interview
- Contribute to 2 internal assets (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
- Over 4 years of experience with Python and SQL
- Over 4 years of experience with building ML models and using ML tools (e.g., sklearn)
- Experience with LLM
- Experience with data visualization and building web apps with Python frameworks (Dash, Streamlit)
- Understanding of underlying data systems such as Cloud architectures and SQL
- Fluency in both English and French
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 in Javascript
- Experience building APIs
- Passion for teaching or public speaking
