Head of Data Science

2 days ago

Singapore TENTEN Partners Pte. Ltd. Full time

**My client is building world class health tech assets that will positively impact healthcare across the APAC region and is backed by some of the largest insurance and healthcare providers globally.**

**Are you**:

- Excited about building and leading a data science team to create health tech assets that can power the growth of health insurance businesses in Asia as well as other companies in the healthcare space?
- Keen to build and lead a multi-country data science team?
- Eager to be part of a team that is going to make a big impact in the health tech ecosystem in Asia?
- Wanting to work in an agile and flexible work environment?

**Why Apply?**
- Regional coverage
- Build innovative products and platforms
- Be part of and lead critical programs
- High visibility role straight away
- C-suite exposure
- Lead a multi country team

**Key Responsibilities**:

- Guide and lead a multinational team to create and deliver on the vision of data science
- Responsibility for team and delivery through effective leadership and management
- Lead, design and recommend the overall data science architecture, technology and software design, etc.
- Guide on orchestration principals of data science and make recommendations for standard protocols/frameworks
- Technical input and guidance on best analytic approaches to all related technical problems
- RnD and lead development of new data science modules and features, updates to modules
- Lead the implementation of core components within new markets including rolling out of components, training/understanding of core components and validation with clients

**Requirements**:

- Deep knowledge of end-to-end MLOp’s process with integrated CI/CD principals on both the model development and production environments
- 3-5 years of experience leading a data science team
- Practical experience and knowledge of a range of AI and ML algorithms from general linear models to neural networks to reinforcement learning
- Practical experience in SQL, python, and advanced excel in the context of data science
- Knowledge of data science and solution architecture on the cloud -Azure cloud preferred
- Knowledge of cloud technologies such as data bricks, azure studio, data factory, etc.
- Understanding of data science in patient health management, provider profiling, healthcare reporting, and other key healthcare technologies etc. is beneficial but not required

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