Dataiku Specialist

We are looking for a Dataiku Specialist to join our team and act as the primary expert for our Dataiku DSS (Data Science Studio) platform. In this role, you will be responsible for designing end-to-end data pipelines, implementing machine learning models, and empowering both technical and non-technical stakeholders to leverage AI effectively. You will play a key role in scaling our data science efforts by ensuring projects are governed, reproducible, and ready for production. Key Responsibilities Pipeline Development: Design and build automated data preparation and ETL workflows using Dataiku’s visual recipes and custom code (Python/SQL). ML & Analytics: Develop, train, and deploy machine learning models within the Dataiku environment. Platform Governance: Manage and optimize Dataiku projects, ensuring best practices for version control, documentation, and resource management. Operationalization (MLOps): Transition lab-stage experiments into robust production scenarios using Dataiku Automation and API nodes. Collaboration: Act as a bridge between Data Scientists, Data Engineers, and Business Analysts to democratize data usage across the organization. Optimization: Monitor flow performance and troubleshoot execution bottlenecks within the DSS platform. Required Skills & Experience Dataiku Expertise: Proven experience working with Dataiku DSS (visual recipes, plugins, lab, and automation nodes). Data Engineering: Strong proficiency in SQL and Python for data manipulation and custom coding. ML Knowledge: Solid understanding of the machine learning lifecycle (feature engineering, model evaluation, and deployment). Cloud & Architecture: Familiarity with cloud platforms (AWS, Azure, or GCP) and how Dataiku integrates with cloud data warehouses (e.g., Snowflake, Redshift, BigQuery). Collaboration Tools: Experience with Git integration and CI/CD concepts within the Dataiku ecosystem. Soft Skills: Ability to translate business problems into technical "flows" and mentor other users on the platform.