Data Scientist
20 hours ago
The Monetary Authority of Singapore (MAS) is seeking a Data Scientist to join its Data Analytics & Engineering Division (DAE). As a key member of the team, you will be responsible for driving data science initiatives and providing technical leadership to junior data scientists.
The ideal candidate will have a strong background in statistics, mathematics, or computer science, and experience in developing data science products in a public service or financial services industry. You will be expected to stay up-to-date on emerging data science trends, methods, and technologies, and to adhere to data science best practices and standards.
As a Data Scientist at MAS, you will have the opportunity to work on multifaceted problems in an agile environment, and to deliver value-added data science products. You will also be responsible for collaborating with internal MAS functions, and for promoting the growth of the Data Analytics Community of Practitioners (DACoP).
Key Responsibilities- Drive assigned data science related initiatives and provide technical leadership to junior data scientists
- Collaborate with DAE's Production Engineering (PE) and Product Management (PM) teams to deliver enterprise-grade data science products
- Interface with assigned MAS business groups to identify opportunities to deliver additional business value through data science products
- Work with MAS Academy to deliver targeted analytics training and broad-based awareness programs to all MAS staff
- Support any TG, DTA, DAE, and/or DS Team initiatives as required
- Bachelor's degree in Statistics, Mathematics, Computer Science, or another quantitative field
- 1-3 years of relevant working experience developing data science products in a public service or financial services industry
- Good understanding and hands-on experience in applying classification, prediction, forecasting, anomaly detection, graph analytics, deep learning, and NLP to solve business problems effectively
- Ability to develop enterprise-grade data science products, which typically involves frontend and backend programming on top of data science model development
- Knowledge of MLOps best practices
- Experience developing and deploying models and data science products on the cloud
- Familiarity with various database technologies
- Comfortable working on multifaceted problems in an agile environment
- Strong presentation and communication skills
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