Dataiku is seeking a Data Scientist to join their team. This role involves developing AI solutions and participating in client-facing activities throughout the customer journey. The Data Scientist will support clients in discovering the platform, integrating Dataiku with other tools, and co-developing data science projects. The ideal candidate should be excited about learning new technologies and explaining their work to both technical and non-technical audiences.
Role Involves:
Co-developing production-level data science projects with customers.
Analyzing various kinds of data and machine learning applications across industries.
Helping users master the Dataiku platform through training and support.
Providing data science expertise to customers and internal teams.
Developing custom Python-based plugins to enhance Dataiku’s functionality.
Requirements:
Fluent in English; Arabic fluency is a plus.
Curiosity and a desire to learn new topics and skills.
Empathy and eagerness to share knowledge with colleagues and customers.
Ability to explain complex topics to technical and non-technical audiences.
2-10 years of experience with Python and SQL.
2-10 years of experience building ML models and using ML tools (e.g., sklearn).
Familiarity with data visualization in Python, R.
Understanding of underlying data systems such as Cloud architectures, Hadoop, or SQL.
What Dataiku Offers:
Opportunity to shape the future of AI.
A collaborative environment that values innovation and personal growth.
Dataiku is the Universal AI Platform, empowering organizations to control their AI initiatives across talent, processes, and technologies. The platform offers no-code, low-code, and full-code capabilities, allowing diverse teams to leverage their existing skills to build analytics, models, and AI agents. Dataiku's technology stack integrates various data science technologies and supports deployment in SaaS, cloud, or on-premise environments. The company is committed to innovation, open-source communities, and integrating advanced technologies, including LLMs.