Statistician (Policy Planning/DICE)

Department of Statistics; Singapore; On-site; SGD 45,000 - 70,000; Full time

Job summary

A national statistical authority in Singapore is seeking a statistician to develop and maintain the DOS Intelligent Classification Engine (DICE). You will work on promoting DICE with stakeholders, developing algorithms, and driving national statistical standards. The ideal candidate will possess a knowledge base in AI and ML, with proficient skills in Python and SQL, and strong analytical abilities. This role offers the opportunity to contribute significantly to policy planning and decision-making for Singapore's economic and social development.

Qualifications

• 1+ years of relevant work experience in AI/ML development.
• Knowledgeable in data science techniques and concepts.
• Experience in feature selection and model validation.

Responsibilities

• Develop algorithms and provide technical guidance.
• Promote DICE via discussions with stakeholders.
• Work with cross-functional teams to develop methodologies.

Skills

Knowledge in Artificial Intelligence (AI)

Knowledge in Machine Learning (ML)

Proficient in Python

Proficient in SQL

Strong analytical skills

Excellent communication skills

Teamwork

Education

Computer Science

Data Science

Statistics

Mathematics

Economics

Job description

What the role is

As a statistician in the Policy Planning Division, you will be involved in developing and maintaining the DOS Intelligent Classification Engine (DICE).

What you will be working on

• Promoting the use of DICE via discussions with stakeholders to understand business challenges, developing algorithms, providing technical guidance, and solving complex problems independently or in a team.
• Developing and driving the adoption of national statistical standards and classification.

What we are looking for

• Possess knowledge or experience in Computer Science, Data Science, Computer Engineering, Industrial & Systems Engineering, Mathematics, Statistics, Economics, or related technical disciplines.
• 1+ years of relevant work experience in areas of Artificial Intelligence (AI) / Machine Learning (ML) development and applications.
• Knowledgeable in data science techniques and concepts, with sound understanding of their potentials and limitations when applied to business use cases.
• Knowledge/Experience in feature selections, hyper-parameter optimisation and model validation.
• Proficient in Python and SQL.
• Knowledge in UI design and development is a plus.
• Work with cross-functional teams to develop algorithms and methodologies to address the use case (including but not limited to data cleaning, pre-processing, feature engineering, and build data science models).
• Design and build efficient and scalable deep learning and machine learning algorithms.
• Strong analytical and writing skills.
• Excellent communication and presentation skills.
• Strong liaison skills in working with other agencies, with the ability to work under tight timelines.
• Able to work well both independently and as a member of a team to solve complex problem statements.

About Department of Statistics

The Singapore Department of Statistics is the National Statistical Authority responsible for statistics on the Singapore economy and population. We collect, compile, analyse and disseminate a wide range of economic, business, household and population data, as well as analyse and monitor trends in the economy and population. With these vital inputs, policymakers, business decision makers and our data users gain valuable insights into current and emerging economic and social trends, enabling them to make calculated and informed decisions in the formulation of policies and strategies for the future. Apart from public agencies and businesses, our users also include researchers, analysts, educators, students, the media and the general public. Join our team and make a difference by contributing important statistical input to facilitate policy planning and decision-making and support Singapore's present and future economic and social development.