Lead/Senior Data Scientist at Public Service Division

, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

01 Apr, 26

Salary

0.0

Posted On

02 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Python, Tableau, Data Analytics, Predictive Modeling, Stakeholder Engagement, Data Management, Performance Management, Data-Driven Decision Making, Interpersonal Skills, Airport Management, Air Traffic Management, Data Systems Architecture, Project Management, Experiment Design, Large Datasets Manipulation

Industry

IT Services and IT Consulting

Description

[What the role is] The Data Science section resides within the CAAS Data and Performance Division. This section leads air hub studies and drives performance management. The section is expected to exploit a data-driven approach to enhance CAAS effectiveness. It applies data science techniques to address real-world challenges and is responsible for formulating the data science strategy and implementation plans for CAAS. The candidate will collaborate with other divisions, international organisations and research institutes to understand and analyze operational constraints and challenges and apply data science techniques to drive data-driven decision making in addressing these issues. As such, a working knowledge of data science tools, such as Python and Tableau, is required. The candidate is also required to work with other divisions and external vendors to understand the architecture of new data systems and ensure accurate and appropriate data capture. The candidate may be assigned additional duties as deemed appropriate by the organisation. [What you will be working on] - Maintain, measure and evolve the monitoring and benchmarking of key performance indicators in CAAS - Working closely with business stakeholders to understand their challenges and goals, translating complex data into actionable insights - Design and implement models that can analyse large datasets to solve various problems and predict future outcomes - Formulating, suggesting, and managing data-driven projects that are geared at furthering the business's interests - Building predictive models, designing experiments, manipulating large datasets, and communicating their findings to stakeholders - Work with research institutes to design new DSAI engines - Work with external vendors to deliver an end-to-end data management system [What we are looking for] - Minimum 5 - 10 years’ experience in the field of data analytics and/or data science - Trained in data science, computer science, computer engineering, data science, information technology or equivalent - Advanced working knowledge of data science techniques - Working knowledge of airport management and air traffic management will be a plus - Good interpersonal skills to engage internal and external stakeholders - Aptitude for analytics - Positive working attitude - Good staff work Note: Your appointment designation will commensurate with your relevant work experience. Successful candidates will be offered a 3-year contract in the first instance and may be considered for placement on a permanent tenure or subsequent contract renewal. http://jobs.careers.gov.sg The Singapore Public Service plays a key role in the economic growth, progress and stability of Singapore by formulating and implementing government policies, as well as providing key public services. Whether you are a fresh graduate joining the workforce or an experienced professional, the Singapore Public Service offers a great variety of job opportunities for you. The work in the Public Service can be broadly categorised into the following sectors: Economic, Social, Security & External Relations, and Administration & Corporate Development. Be part of the team that shapes the future of Singapore. Log on and take your first step towards a career that matters! Need help? Please click here for assistance. Our team will contact you shortly!

Responsibilities

The candidate will maintain and evolve the monitoring of key performance indicators and collaborate with stakeholders to translate complex data into actionable insights. They will design and implement models to analyze large datasets and drive data-driven projects.