Data Scientist, Data Strategy and Analytics

6 days ago

Singapore SkillsFuture Singapore Full time

**What the role is**

SkillsFuture Singapore (SSG) is a statutory board under the Ministry of Education (MOE). It drives and coordinates the implementation of the national SkillsFuture movement, promote a culture and holistic system of lifelong learning through the pursuit of skills mastery, and strengthen the ecosystem of quality education and training in Singapore.

**What you will be working on**

SSG is looking for a data scientist to derive business insights from large and real-time datasets for fraud and risk management, strategic planning as well as operational efficiency. You will develop, deploy and maintain data analytic models.

The Data Scientist will have opportunities to also collaborate with other public agencies to introduce and enhance data science capabilities (such as Jobs and Skills) for the organisation. As the domain expert in data analytics the Data Scientist is also expected to coordinate, strategize and guide the SSG officers performing data analytics work to achieve efficiency and accuracy.
- Research and devise appropriate statistical and machine learning models for data analysis
- Collaborate with internal and external stakeholders to understand analytic needs and devise possible solutions
- Identify relevant structured and unstructured data sources to mine for meaningful insights that enhance efficiency, reliability and performance across the organisation.
- Devise and utilise algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy
- Keen sense in value of data relating to business objectives
- Create machine learning-based tools or processes e.g. recommendation engine(s), and constant tracking of performance through A/B testing, and predictive capabilities
- Communicate analytic solutions and insights to stakeholders and implement improvements as needed to operational systems
- Build data analytics capabilities across SSG

**What we are looking for**
- Tertiary qualification in quantitative discipline: Computer Science, Economics Statistics or Applied Maths, or 3-8 years of experience in computer science, applied mathematics, or other quantitative/computational discipline.
- Good knowledge in data visualisation tools like Tableau and data analysis / processing tools like R / Python
- Experience in Cloud Technology like AWS data and analytics Tech Stack
- Experience in distributed computing tools like Hadoop / Spark
- Experience in building machine learning models at scale, using real-time data pipelines on platforms.
- Strong analytical, communication and presentation skills to communicate complex quantitative analysis in a clear, precise and actionable manner
- Data engineering experience, including SQL and experience in manipulating structured and unstructured data sources for analysis.
- Advanced pattern recognition and predictive modelling skills
- Experience or specialization in fraud prevention/detection and/or compliance and/or forensics will be advantageous.
- Experience or specialization in Jobs and Skills related analysis will be advantageous.

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