Data Scientist

Tap Growth ai; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

Tap Growth ai in Singapore seeks a data scientist to analyze large, complex datasets, identify patterns, and build predictive models that drive business decisions.

You will transform data into actionable insights, create dashboards and reports, and communicate findings to both technical and non-technical stakeholders while collaborating with cross-functional teams to integrate solutions into business processes.

Qualifications

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related discipline.
• At least 3 years of experience in data science, statistical analysis, machine learning, or a similar analytical role.
• Strong proficiency in Python or R, SQL, data preparation, statistical modeling, and machine learning techniques.
• Experience with data visualization tools, cloud platforms, big data technologies, and model deployment frameworks is preferred.
• Excellent analytical thinking, problem-solving, communication, collaboration, and stakeholder management skills.

Responsibilities

• Analyze large, complex datasets to identify patterns, trends, and actionable business insights.
• Develop predictive models and machine learning solutions to address business challenges.
• Prepare, clean, and transform structured and unstructured data for analysis and modeling.
• Design statistical experiments and evaluate model performance using appropriate validation techniques.
• Translate business requirements into data-driven analytical approaches and measurable outcomes.
• Create dashboards, visualizations, and reports that clearly communicate findings to stakeholders.
• Collaborate with cross-functional teams to integrate analytical solutions into business processes.
• Monitor deployed models and refine them to maintain accuracy, reliability, and effectiveness.
• Research emerging data science methods, tools, and technologies to improve analytical capabilities.
• Present technical findings and recommendations in a clear, practical manner to both technical and non-technical audiences.

Skills

Analytical thinking

Problem solving

Communication

Collaboration

Stakeholder management

Education

Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering

Tools

Python

R

SQL

Data visualization

Cloud platforms

Big data technologies

Model deployment frameworks

Job description

Responsibilities

• Analyze large, complex datasets to identify patterns, trends, and actionable business insights.


• Develop predictive models and machine learning solutions to address business challenges.


• Prepare, clean, and transform structured and unstructured data for analysis and modeling.


• Design statistical experiments and evaluate model performance using appropriate validation techniques.


• Translate business requirements into data-driven analytical approaches and measurable outcomes.


• Create dashboards, visualizations, and reports that clearly communicate findings to stakeholders.


• Collaborate with cross-functional teams to integrate analytical solutions into business processes.


• Monitor deployed models and refine them to maintain accuracy, reliability, and effectiveness.


• Research emerging data science methods, tools, and technologies to improve analytical capabilities.


• Present technical findings and recommendations in a clear, practical manner to both technical and non-technical audiences.

Requirements

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related discipline.


• At least 3 years of experience in data science, statistical analysis, machine learning, or a similar analytical role.


• Strong proficiency in Python or R, SQL, data preparation, statistical modeling, and machine learning techniques.


• Experience with data visualization tools, cloud platforms, big data technologies, and model deployment frameworks is preferred.


• Excellent analytical thinking, problem-solving, communication, collaboration, and stakeholder management skills.