Data Scientist | Predictive Modelling | Machine learning

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

Our client is the market leader in their industry. As part of their plan to invest in technology, they are now hiring a new team member to be based here in their Headquarters here in Singapore.

About the job

Your role involves:

• Lead end-to-end data science lifecycles, from defining the initial problem scope through to model implementation and evaluation.
• Engineer and optimize advanced machine learning models to solve intricate business challenges.
• Write clean, maintainable, and production-ready code utilizing Python.
• Oversee comprehensive data preparation, including deep data wrangling, feature engineering, and transformation of imperfect datasets.
• Translate and present complex analytical findings to non-technical stakeholders to influence key business decisions.
• Provide technical mentorship to junior data scientists and actively evaluate emerging research to improve internal methodologies.

Skills and experience required

As a successful applicant, you will have 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

Whats on offer

This is an excellent opportunity to join an established company with heavy investments in technology.

• Exposure to latest technology
• Permanent role with high job stability

About the company

Our client is the market leader in their industry. As part of their plan to invest in technology, they are now hiring a new team member to be based here in their Headquarters here in Singapore.

About the job

Your role involves:

• Lead end-to-end data science lifecycles, from defining the initial problem scope through to model implementation and evaluation.
• Engineer and optimize advanced machine learning models to solve intricate business challenges.
• Write clean, maintainable, and production-ready code utilizing Python.
• Oversee comprehensive data preparation, including deep data wrangling, feature engineering, and transformation of imperfect datasets.
• Translate and present complex analytical findings to non-technical stakeholders to influence key business decisions.
• Provide technical mentorship to junior data scientists and actively evaluate emerging research to improve internal methodologies.

Skills and experience required

As a successful applicant, you will have 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

Whats on offer

This is an excellent opportunity to join an established company with heavy investments in technology.

• Exposure to latest technology
• Permanent role with high job stability

Desired Skills and Experience

Predictive Modeling, Machine Learning, data science, Data analysis, natural language processing (NLP), python