About the Role
Role details below.
Responsibilities
- Co-develop production-level data science projects with our customers
- Analyse and investigate various kinds of data and machine learning applications across industries and use cases
- Help users discover and master the Dataiku platform, via user trainings, office hours, and ongoing consultative support
- Provide data science expertise both to customers and internally to Dataiku’s sales and marketing teams
- Develop custom Python-based “plugins” in collaboration with Solutions, R&D, and Product teams, to enhance Dataiku’s functionality
Requirements
- English - fluent
- 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)
- Understanding of underlying data systems such as Cloud architectures, Hadoop, or SQL
Nice to Have
- Arabics - fluent/native will be a big plus
- 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
- Familiarity with data visualisation in Python and R
- Experience with Consulting and/or Customer-facing Data Science roles
- Experience with Data Engineering or MLOps
- Experience developing WebApps in JavaScript, RShiny, or Dash
- Experience building APIs
- Experience using enterprise data science tools
- Passion for teaching or public speaking
Additional Information
- Arabics - fluent/native will be a big plus
- The role involves client-facing activities throughout the customer journey
- The role includes supporting customer discovery of the platform, integration of Dataiku with other tools and technologies, user training, and co-developing data science projects from design to deployment
- Non-technical skills are important
- Technical skills are important, with daily use of the Dataiku platform
- Primary programming languages used: Python and SQL
- Occasional work in other languages such as R, PySpark, JavaScript
