Posted on: 18/02/2026
Key Responsibilities :
- Design and implement end-to-end data pipelines using Dataiku to ingest, process, and transform large datasets for analytical and machine learning purposes.
- Develop and deploy machine learning models within the Dataiku environment, ensuring scalability, reliability, and performance.
- Collaborate with data scientists to translate their models and algorithms into production-ready solutions within Dataiku.
- Automate data science workflows and processes using Dataiku's features, such as visual recipes, code recipes, and APIs, to improve efficiency and reduce manual effort.
- Monitor and troubleshoot data pipelines and machine learning models to ensure data quality and system stability.
- Contribute to the development of best practices and standards for data science and machine learning within the organization.
- Work with business stakeholders to understand their data needs and translate them into technical requirements for Dataiku projects.
- Document data pipelines, models, and workflows to ensure maintainability and knowledge sharing.
Required Skillset :
- Proficiency in data manipulation and transformation using SQL, Python, or other relevant programming languages.
- Experience with machine learning algorithms and techniques, including model building, evaluation, and deployment.
- Strong understanding of data warehousing concepts and data modeling principles.
- Ability to collaborate effectively with data scientists, engineers, and business stakeholders.
- Excellent communication and problem-solving skills.
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
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Posted in
Data Analytics & BI
Functional Area
Data Mining / Analysis
Job Code
1613733