PRINCIPAL DATA SCIENCE SPECIALIST
At a glance
Senior Data Science role at CHARLES & KEITH Group. Singapore · full-time.
Pay not stated Data Science salary
dataroles summary, based on the employer's posting.
What you'll do
- Work with group business users to identify challenges and select data projects with practical value
- Frame use cases and build business cases for turning data into decisions and action
- Design, build, launch and maintain data science and analytics applications across the organization
- Lead project delivery, from cleaning data and creating machine learning models to refining results with users
- Build model-calling APIs or automation applications, while developing team skills and sharing knowledge across departments
What you bring
- You can prepare data for machine learning, including cleaning, preprocessing and feature creation
- You have experience building machine learning models and refining them with input from key users
Who this fits
This senior role suits someone who can guide data science and analytics projects while supporting colleagues’ development and teaching other departments. The role is based in Singapore.
From the employer
We're on the lookout for individuals who are passionate about fashion, think outside the box, and have an eye for innovation.
Unleash your potential with us, and join us as we create joy and excitement in our global community to empower people to express themselves freely through fashion.
• 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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