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Job Description

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 :


- Demonstrated ability to design, develop, and deploy data science solutions using Dataiku.

- 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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