Tech Stack
JavaScriptPySparkPythonScikit-LearnSQL
About the role
- 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 customers across different industries and use cases
- Provide strategic input to the customer and account teams to help make our customers successful
- Provide data science expertise both to customers and internally to Dataiku’s sales and marketing teams
- Integrate Dataiku with other tools and technologies and support deployment from design to production
- 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)
Requirements
- 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
- 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)
- Familiarity with other languages and tools such as R, PySpark, JavaScript
- Client-facing experience and training/consultative skills
ATS Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonSQLMachine LearningML toolsData VisualizationWeb AppsDashStreamlitRPySpark
Soft skills
CuriosityEmpathyKnowledge SharingCommunicationTraining SkillsConsultative SkillsAbility to Explain Complex Topics