- Understand current business landscape, identify / confirm business problems to develop an applicable Data Science solution
- Propose appropriate methods and techniques for machine learning model to meet use case objectives.
- Develop end-to-end Data Science pipeline data collection, data cleansing, feature engineering, model development, model evaluation, model deployment, and continuous monitoring and tuning of deployed models
- Apply Statistics, Econometrics, and Experimental Design processes to:
- Measure/Track results and benefit outcomes
- Prove/Identify causal impact and attribution
- Predict/Prescribe future performance given simulated scenarios
- Develop partnership with business teams as a trusted delivery partner, as well as a thought leader for data-driven decision making
- Collaborate with delivery team members to design, implement, and deploy scalable Data Science solutions.
- Maintain up-to-date knowledge of trends and market information related to the Data Science space to support capability development within the delivery teams.
- Identify and apply innovative approaches / techniques that improve insight findings, business outcomes, and prediction performances.
- Advanced degree in a quantitative field (e.g., Economics, Statistics, Computer Science, Engineering, Operational Research, Business Analytics).
- Minimum 3 years of experience working with and analyzing large data sets to solve problems.
- Expert knowledge of a scientific scripting language (such as R or Python) and SQL.
- Strong knowledge in Machine Learning, Statistics, Optimization, Operational Research, and Experimental design.
- Experienced in building an end-to-end Data Science pipeline.
- Good communicator who can present results clearly and focus on driving impact, able to simplify between business and technical audience.
- Preferably experienced in a Big Data Cloud stack within ML and peripheral components - Azure platform (Databricks, Azure ML)
Data Analyst - Singapore - Mount Elizabeth Hospital
Description
The Role
The Company
Touching Lives, Transforming Care
We are IHH, one of the world's largest healthcare networks, with 80 hospitals in 10 countries. Our hospitals are operated under Acibadem, Mount Elizabeth, Gleneagles, Pantai, and Parkway brands. We believe that making a difference starts with empathy and putting our patients' needs first to build lasting relationships based on trust. From everyday care to the little acts that warm the heart, we always deliver our best with genuine compassion - one patient, one family, one touch at a time.
With our unique reach and scale, we strive to continuously raise the bar in healthcare across multiple geographies and create synergies throughout our network. We offer our patients a full spectrum of integrated healthcare services across our portfolio of trusted healthcare brands.
As we build on what we do well and share our strengths and resources globally, we are making healthcare better, faster, easier, and more affordable for our patients.
Key accountabilities
The Role
Data Science is a newly created function within the Group Data CoE team at IHH. We are looking for a Data Scientist with strong business acumen who are passionate in solving business, operational, and clinical problems. You will bring along technical expertise in Machine Learning, Statistical Analysis and Inference, Operational Research and Optimization knowledge to design approach, create prototype, and build Solution engine and services that are applicable to the healthcare domain. You will be working closely with Business Analytics, Data Architecture, Data Quality teams, as well as the business teams to drive project success. As you are an early member in the Data Science practice, you will have an opportunity to contribute to planning our vision, strategy, process, quality, and roadmap to steer for proven benefit growth and group-wide adoption.
Other Key Accountabilities
Qualifications & Experience
Qualifications & Experience