Data Scientist - Consultant

Talent-Merge Pte Ltd; Singapore; On-site; SGD 95,000 - 99,000; Full time

Job summary

Talent-Merge Pte Ltd in Singapore seeks an experienced Data Scientist to transform business problems into data-driven solutions. You will develop, deploy and refine ML models and analytics pipelines across diverse datasets, collaborating with clients and cross-functional teams.

The role requires strong skills in Python or R, SQL, ML methodologies, and data visualization. You will contribute to strategic insights, build dashboards, and communicate complex results to stakeholders.

Qualifications

• Bachelor’s degree or higher in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related discipline.
• Minimum 4 years of relevant experience in data science, machine learning, analytics, or a similar role.
• Proficiency in Python or R, SQL, and data science libraries such as Pandas, Scikit-learn, TensorFlow, or PyTorch.
• Strong knowledge of statistical modelling, ML algorithms, data mining, visualization and predictive analytics.
• Excellent analytical, problem-solving, communication and stakeholder management skills.

Responsibilities

• Analyse complex business problems and translate requirements into data-driven solutions.
• Develop, implement and maintain ML models and analytics solutions.
• Collect, clean, transform, and analyse large datasets from multiple sources.
• Apply statistical analysis to identify trends, patterns and opportunities.
• Design data science solutions using Python, R and SQL.
• Collaborate with clients and stakeholders to understand business needs.
• Build, validate and optimise ML models to improve accuracy and performance.
• Develop data visualisations, dashboards and reports for stakeholders.
• Support deployment, monitoring and improvement of data science models.
• Prepare technical documentation and present findings and best practices.

Skills

Python

R

SQL

Statistical modelling

Machine learning

Data visualization

Communication

Education

Bachelor's degree in Data Science or related field

Tools

Pandas

Scikit-learn

TensorFlow

PyTorch

Job description

Job Information

Technology

Salary Range S$8,500 - S$8,900

Job Description

• Analyse complex business problems and translate business requirements into data-driven solutions and actionable insights.
  
• Develop, implement, and maintain machine learning models, statistical models, and predictive analytics solutions.
  
• Collect, clean, transform, and analyse large datasets from multiple sources to ensure data quality and accuracy.
  
• Apply statistical analysis, data mining, and advanced analytical techniques to identify trends, patterns, and business opportunities.
  
• Design and develop data science solutions using programming languages such as Python, R, and SQL.
  
• Collaborate with clients and cross-functional stakeholders to understand business needs and recommend appropriate data science strategies.
  
• Build, validate, and optimise machine learning models to improve accuracy, efficiency, and business performance.
  
• Develop data visualisations, dashboards, and analytical reports to communicate findings and recommendations to stakeholders.
  
• Support the deployment, monitoring, and continuous improvement of data science models and analytical solutions.
  
• Prepare technical documentation, present project findings, and provide expert consultation on data science methodologies, best practices, and emerging technologies.
  

Requirements

• Bachelor’s degree or higher in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related discipline.
  
• Minimum 4 years of relevant experience in data science, machine learning, advanced analytics, or a similar role.
  
• Proficiency in Python or R, SQL, and relevant data science libraries and frameworks, such as Pandas, Scikit-learn, TensorFlow, or PyTorch.
  
• Strong knowledge of statistical modelling, machine learning algorithms, data mining, data visualisation, and predictive analytics techniques.
  
• Excellent analytical, problem-solving, communication, and stakeholder management skills, with the ability to translate complex technical findings into practical business recommendations.