Lead Data Scientist - Predictive ML & Modeling

Randstad Singapore; Singapore; On-site; SGD 110,000 - 170,000; Full time

Benefits offered by this job

Exposure to latest technology

Permanent role with high job stability

Job summary

Randstad Singapore is seeking a data scientist to join a market-leading client at their Singapore headquarters. You will lead end-to-end data science lifecycles, engineer scalable ML models in Python, and transform complex data into actionable business insights.

You will mentor junior data scientists, perform deep data wrangling and feature engineering, and deploy production-ready solutions in cloud environments. This role offers strong stability and exposure to cutting-edge technology.

Qualifications

• As proven experience in statistical analysis, mathematical modeling, and applied machine learning.
• High proficiency in Python programming and relevant machine learning frameworks.
• Demonstrated experience building and scaling data solutions within cloud environments.

Responsibilities

• Lead end-to-end data science lifecycles from problem scope to model implementation and evaluation.
• Engineer and optimize advanced machine learning models to solve business challenges.
• Write clean, production-ready Python code.
• Oversee data preparation including wrangling, feature engineering and data transformation.
• Translate complex analytics to non-technical stakeholders to influence decisions.
• Provide mentoring to junior data scientists and evaluate emerging research.

Skills

Python programming

Machine learning

Data analysis

NLP

Predictive modeling

Statistical analysis

Mathematical modeling

Cloud computing

Job description

Randstad Singapore is seeking a data scientist to join a market-leading client at their Singapore headquarters. You will lead end-to-end data science lifecycles, engineer scalable ML models in Python, and transform complex data into actionable business insights.

You will mentor junior data scientists, perform deep data wrangling and feature engineering, and deploy production-ready solutions in cloud environments. This role offers strong stability and exposure to cutting-edge technology.