Job Description & How to Apply Below
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.
(t.tech)
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