Data Scientist (Machine Learning)

Zohorecruit; Singapore; On-site; SGD 67,000 - 95,000; Full time

Job summary

Zohorecruit is seeking a Data Scientist (Machine Learning) in Singapore to develop and deploy advanced analytics and ML solutions that improve operational efficiency and business performance.

The role involves analyzing large datasets, building predictive models, and delivering actionable insights while collaborating with cross-functional teams and stakeholders to deliver data-driven outcomes.

Qualifications

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related discipline.
• 3–8 years of experience in Data Science, Machine Learning, or Advanced Analytics.
• Strong programming skills in Python (Pandas, NumPy, Scikit-learn).
• Experience with ML frameworks such as TensorFlow, PyTorch, or XGBoost.
• Strong knowledge of supervised and unsupervised learning techniques.
• Experience with SQL and relational databases.
• Familiarity with cloud platforms such as AWS, Azure, or GCP.
• Experience with data visualization tools such as Power BI or Tableau.
• Knowledge of Git, Docker, and MLOps concepts is an advantage.
• Strong analytical, problem-solving, and communication skills.

Responsibilities

• Develop, train, validate, and deploy machine learning models for predictive analytics and optimization.
• Analyze structured and unstructured datasets to identify trends, patterns, and business opportunities.
• Design and implement data pipelines for data collection, cleansing, feature engineering, and model training.
• Build forecasting, classification, regression, clustering, and anomaly detection models.
• Collaborate with business stakeholders to understand requirements and translate them into data-driven solutions.
• Evaluate model performance and continuously improve model accuracy and reliability.
• Develop dashboards and reports to communicate insights and recommendations.
• Work with data engineers to integrate machine learning models into production systems.
• Ensure data quality, governance, and compliance with organizational standards.
• Research and evaluate new machine learning algorithms and emerging technologies.

Skills

Python programming

Data science

Machine learning

Statistical analysis

Data visualization

Communication

Education

Bachelor's or Master's degree in a relevant field

Tools

Pandas

NumPy

Scikit-learn

TensorFlow

PyTorch

XGBoost

SQL

Power BI

Tableau

Git

Docker

MLOps

AWS

Azure

GCP

Job description

Posted On 28/09/2026

Job Information

Work Experience 4-5 years

Technology

SGD 6000 - SGD 8500

City Singapore

State/Province Central Singapore

079903

Job Description

About the Role

We are seeking a Data Scientist (Machine Learning) to develop and deploy advanced analytics and machine learning solutions that support business operations and digital transformation initiatives. The successful candidate will work closely with cross-functional teams to analyze large datasets, build predictive models, and deliver actionable insights to improve operational efficiency and business performance.

Key Responsibilities

• Develop, train, validate, and deploy machine learning models for predictive analytics and optimization.
• Analyze structured and unstructured datasets to identify trends, patterns, and business opportunities.
• Design and implement data pipelines for data collection, cleansing, feature engineering, and model training.
• Build forecasting, classification, regression, clustering, and anomaly detection models.
• Collaborate with business stakeholders to understand requirements and translate them into data-driven solutions.
• Evaluate model performance and continuously improve model accuracy and reliability.
• Develop dashboards and reports to communicate insights and recommendations.
• Work with data engineers to integrate machine learning models into production systems.
• Ensure data quality, governance, and compliance with organizational standards.
• Research and evaluate new machine learning algorithms and emerging technologies.

Requirements

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related discipline.
• 3–8 years of experience in Data Science, Machine Learning, or Advanced Analytics.
• Strong programming skills in Python (Pandas, NumPy, Scikit-learn).
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or XGBoost.
• Strong knowledge of supervised and unsupervised learning techniques.
• Experience with SQL and relational databases.
• Familiarity with cloud platforms such as AWS, Azure, or GCP.
• Experience with data visualization tools such as Power BI or Tableau.
• Knowledge of Git, Docker, and MLOps concepts is an advantage.
• Strong analytical, problem-solving, and communication skills.

Preferred Skills

• Experience in time-series forecasting and predictive maintenance.
• Knowledge of optimization techniques and operations research.
• Experience with big data technologies such as Spark or Hadoop.
• Familiarity with Generative AI and Large Language Models (LLMs) is a plus.
• Experience working in the utilities, energy, manufacturing, or industrial sectors is highly desirable.
• Strong analytical and statistical thinking.
• Ability to communicate complex technical concepts to non-technical stakeholders.
• Excellent problem-solving and critical thinking skills.
• Self-motivated with the ability to work independently and in a collaborative team environment.
• Strong stakeholder management and project delivery skills.