Data Scientist (Machine Learning / Data Model)

Visa Hunt; Singapore; On-site; SGD 180,000 - 260,000; Full time

Job summary

Visa Hunt seeks a senior data science leader to design and guide production-scale ML initiatives across large industrial data platforms. You will champion scalable data pipelines, backend services, and concrete deployment practices.

The role emphasizes collaboration with data engineers, IoT data streams, and GenAI/RAG pipelines, with a focus on real-world impact from sensor and industrial data.

Qualifications

• 8+ years of experience in data science with production-scale ML solutions.
• Hands-on ML model development and deployment.
• Experience with Databricks and AWS.
• Knowledge of IoT and industrial messaging protocols.
• Exposure to GenAI, LLM, or Retrieval-Augmented Generation (RAG) pipelines preferred.
• Experience leading data science initiatives for large-scale platforms.

Responsibilities

• Design and develop scalable data pipelines and backend services for data ingestion and processing.
• Build, deploy, and maintain production-ready data science and machine learning models.
• Analyse data to identify opportunities for AI/ML use cases and validate hypotheses.
• Collaborate with data engineers to develop data models and analytics solutions.
• Document model development, data pipelines, and technical decisions.
• Support knowledge transfer and capability building within the team.

Skills

Data science

ML model deployment

Data engineering collaboration

Cloud platforms

IoT / industrial messaging

GenAI / RAG awareness

Education

Degree in Computer Science, Data Science, Engineering

Tools

Databricks

AWS

MQTT

OPC-UA

AMQP

Job description

Responsibilities

• Design and develop scalable data pipelines and backend services for data ingestion and processing.
• Build, deploy, and maintain production-ready data science and machine learning models.
• Analyse data to identify opportunities for AI/ML use cases and validate hypotheses.
• Collaborate with data engineers to develop data models and analytics solutions.
• Document model development, data pipelines, and technical decisions.
• Support knowledge transfer and capability building within the team.

Requirements

• Degree in Computer Science, Data Science, Engineering, or a related discipline.
• 8+ years of experience in data science, with a strong track record of delivering production-scale ML solutions.
• Hands-on experience with machine learning model development, deployment, and data engineering collaboration.
• Experience with modern data platforms (e.g. Databricks) and cloud environments such as AWS.
• Proven experience leading data science initiatives for large-scale, complex data platforms.
• Knowledge of IoT and industrial messaging protocols (e.g. MQTT, AMQP, OPC-UA).
• Experience with robotics, sensor, or industrial data processing is an advantage.
• Exposure to GenAI, LLM, or Retrieval-Augmented Generation (RAG) data pipelines is preferred.