Lead Data Scientist — ML Pipelines & Production Systems

Activate Interactive; Singapore; On-site; SGD 120,000 - 180,000; Part time

Benefits offered by this job

Fun working environment

Employee Wellness Program

Singapore government agencies projects

Structured development framework

Job summary

Activate Interactive Pte Ltd, a leading technology consultancy in Singapore, seeks a Data Scientist for a 12-month fixed-term contract. You will design data pipelines, develop production ML models, and work with a cross-functional data team.

Ideal candidates have 8+ years in data science and hands-on experience with Databricks and cloud platforms. The role focuses on building scalable data solutions for enterprise clients, enabling advanced analytics and GenAI readiness in a dynamic,

Qualifications

• Degree in Computer Science, Engineering, Data Science, or related field with 8+ years of experience in data science.
• Experience deploying data models and ML models in production at scale.
• Experience with design and development of data pipelines, backend services, and analytics layer.

Responsibilities

• Design and build data pipelines powering data ingestion, processing and access.
• Develop and maintain production-ready data and ML models.
• Form hypotheses from data to guide collection and architecture decisions.
• Support hypothesis testing across use cases to identify scalable opportunities.
• Collaborate with data team on analytics outputs to ensure meaningful results.
• Document model development decisions and pipeline designs.
• Assist in transferring data science capabilities to internal teams.

Skills

Data modelling

ML deployment

Collaboration

Hypothesis testing

Documentation

Education

Degree in CS/Engineering/Data Science

Tools

Databricks

AWS

Job description

Activate Interactive Pte Ltd, a leading technology consultancy in Singapore, seeks a Data Scientist for a 12-month fixed-term contract. You will design data pipelines, develop production ML models, and work with a cross-functional data team.

Ideal candidates have 8+ years in data science and hands-on experience with Databricks and cloud platforms. The role focuses on building scalable data solutions for enterprise clients, enabling advanced analytics and GenAI readiness in a dynamic,