Data Scientist
Data Scientist
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Job Description
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.
The role of a Data Scientist at Dataiku is quite unique. Our Data Scientists not only develop 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 providing user training and co-developing data science projects from design to deployment.
Just as non-technical skills are important so too are technical skills. Our Data Scientists work on the Dataiku platform on a daily basis. Aside from the visual tools our team primarily uses Python with occasional work in other languages (e.g. R SQL PySpark JavaScript). An ideal candidate is excited to teach data science and how to use the Dataiku platform to customers and learn about new technologies.
Key Areas of Responsibility (What Youll Do)
- Help users discover and master the Dataiku platform via user training office hours and ongoing consultative support
- Co-develop production-level data science projects with our customers across different industries and use cases
- Provide strategic input to the customer and account teams that help our customers achieve success
- Provide data science expertise both to customers and internally to Dataikus sales and marketing teams
- Run demo booth/tech talk duties at company public events (e.g. Everyday AI)
- Contribute to internal assets (internal best practice or external blog post/project on the public gallery)
Experience (What Were 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 Dataikus customers and the general public
- The ability to clearly explain complex topics to technical as well as non-technical audiences
- 2-10 years of experience with Python and SQL
- 2-10 years of experience with building ML models and using ML tools (e.g. sklearn)
- Experience with LLM
- Experience with data visualisation and building web apps with Python frameworks (Dash Streamlit)
#LI-Hybrid
#LI-AS2
Employment Type
Full Time
