Data Scientist
6 days ago
About Us
BUSINESS EDGE PERSONNEL SERVICES PTE LTD is a dynamic and forward-thinking organization dedicated to empowering individuals and shaping the future of Singapore's workforce. We are a statutory board under the Ministry of Education, leading the charge in driving the SkillsFuture movement, a national initiative that promotes lifelong learning and skills development.
We work closely with employers, training providers, and individuals to create a vibrant ecosystem of learning and growth. By offering a wide range of initiatives, programs, and funding schemes, we enable individuals to unlock their full potential, acquire new competencies, and stay ahead in a rapidly changing job market.
Job Description
The Data Scientist in our Data Strategy and Analytics Division reports to the Principal Manager and plays a pivotal role in deriving business insights from large and real-time datasets for fraud and risk management, strategic planning as well as operational efficiency.
This position will develop, deploy and maintain data analytic models as well as have opportunities to collaborate with other public agencies to introduce and enhance data science capabilities for the organisation. As the domain expert in data analytics, you will coordinate, strategize and guide the company officers performing data analytics work to achieve efficiency and accuracy.
Main Responsibilities
- Data Analysis & Model Development
- Research and develop statistical and machine learning models for comprehensive data analysis
- Utilize algorithms and models to mine big data, perform data and error analysis, and ensure data uniformity and accuracy
- Apply data mining techniques and perform statistical analysis to generate insights at scale
- Collaboration & Solution Development
- Work closely with internal and external stakeholders to understand analytic needs and develop effective solutions
- Create machine learning-based tools or processes, such as recommendation engines, and monitor their performance through A/B testing and predictive capabilities
- Communicate analytic solutions to stakeholders and implement necessary improvements to operational systems
Requirements
To succeed in this role, you should have a tertiary qualification in a quantitative discipline such as Computer Science, Economics, Statistics, or Applied Mathematics. You should also have 3-8 years of experience in computer science, applied mathematics, or other quantitative/computational disciplines.
You will need proven experience in data visualization tools (e.g., Tableau) and data analysis/processing tools (e.g., R, Python). Experience with Cloud Technology (e.g., AWS data and analytics Tech Stack) and distributed computing tools (e.g., Hadoop/Spark) is also required.
Demonstrated ability in building machine learning models at scale, using real-time data pipelines on platforms is essential. Strong analytical skills with the ability to communicate complex quantitative analysis in a clear, precise, and actionable manner are also necessary.
You should be proficient in data engineering, including SQL and manipulating structured and unstructured data sources for analysis. Advanced skills in pattern recognition and predictive modeling are highly desirable.
Avoidance of Fraud, Effective Operational Efficiency and Communication are core expectations of this role.
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