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• Work closely with business users of the group to build a strong pipeline of impactful projects. This will involve understanding business challenges, evaluating the use cases, scoping the problems, and developing business cases on how to turn data into critical information and knowledge which can then translate into business decisions and actions
• Scope, design, develop, deploy, and maintain data science-enabled applications and data analytics applications across the organization
• Support the professional growth and development of data scientists and data analysts in your team
• Educate and share data analytics and data science knowledge with various departments
• Organise and guide your team to execute the pipeline of data science and data analytics projects.
This involves,
- Perform data cleaning, pre-processing, and feature engineering to build machine learning models
- Iterate with key users to perform subsequent deep dives based on initial results and fine-tune the models
- Build automation applications or APIs to call the models
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CHARLES & KEITH Group Singapore, Singapore, SGP Office
Singapore, Singapore
