# Data Scientist, GovTech Anti Scam Products (GASP)

**Company**: Government Technology Agency (GovTech)
**Location**: Singapore
**Experience**: mid
**Job type**: full-time
**Category**: Data Science
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/govtech/jobs/4005403201?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_56a230a8-88b

## Description

The Government Technology Agency (GovTech) is the lead agency driving Singapore's Smart Nation initiatives and public sector digital transformation. As the Centre of Excellence for Infocomm Technology and Smart Systems (ICT & SS), GovTech develops the Singapore Government's capabilities in Data Science & Artificial Intelligence, Application Development, Smart City Technology, Digital Infrastructure, and Cybersecurity.

GovTech's Anti Scam Products Team builds tech to detect, disrupt, and deter scammers at scale. You'll work across data infrastructure, AI/ML, and partner integrations to proactively protect citizens from fraud. As a Data Scientist, you'll own the full ML lifecycle , scoping problems with stakeholders, developing and deploying models, and operating production systems.

Responsibilities:

- Understand the evolving problems and strategize about what data and techniques would be needed to solve it

- Develop different machine learning models, track their effectiveness, and deploy the most appropriate solution

- Build and operate production systems independently (with light engineering support) together with engineers) to serve these solutions

- Present findings, solicit feedback and prioritize refinements to the analysis in close iteration with stakeholders while managing overall project timeline

- Identify potential projects that improve the public good

- Design novel systems that work around bureaucratic constraints

- Advocate and explain these technical ideas to other government agencies

- Rapid Prototyping

- Ownership

- Continuous Learning

Requirements:

- Willingness to understand the fraud/scam domain

- Effective and critical use of LLMs: able to leverage AI tools to move fast, while exercising judgment on output quality

- Basic statistical data analytics (A/B test significance, rolling window analysis, confounder analysis)

- Experience in data wrangling, model development (e.g. classification, regression, outlier detection on tabular data, relational/graph data, embedding or a combination) and deployment (e.g. Sagemaker, TensorFlow)

- Foundational coding experience in Python (e.g. Git, package management/venv)

Preferred Requirements:

- Experience in Spark

- Experience in agentic frameworks (Langgraph)

- Experience in Neo4j or any graph database

- Experience in on-device ML

- Experience in stakeholder management

- Able to understand a few products and seek synergies between them for model development or product experimentation

## Skills

### Required
- Python
- LLMs
- data wrangling
- machine learning
- statistical data analytics

### Nice to have
- Spark
- agentic frameworks
- Neo4j
- on-device ML
- stakeholder management

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/govtech/jobs/4005403201?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)