- North Bridge Road Downtown Core Central Region (Singapore) Singapore
Full Time Data Scientist Jobs, Salary up to SGD 13,000 in DUOTECH PTE. LTD. Central Region (Singapore) - Maukerja
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Job Description
Responsibilities
Job Summary
We are looking for a highly analytical and business-savvy Data Scientist to join our global business intelligence & strategy team. The ideal candidate is a data master who can translate complex datasets into clear, actionable business strategies, and build machine learning models that turn data into predictive, automated decision-making. You will be responsible for detecting business abnormalities, performing deep-dive root cause analysis, developing predictive and analytical models, and delivering high-level summaries that guide our internal leaders and global clients.
Key Responsibilities
·
Business Intelligence& Analysis:
Deep-dive into customer behavior, business performance, and operational metrics to identify growth opportunities and potential risks.
·
Machine Learning &Modeling:
Design, build, train, and deploy machine learning models (e.g., forecasting, classification, anomaly detection, customer segmentation, churn/risk prediction) to drive predictive insights and automate decision-making at scale.
·
Root Cause Investigation:
Proactively identify data abnormalities (e.g., performancedips, operational shifts) and perform comprehensive root cause analysis toprovide clarity to stakeholders.
·
Technical Execution:
Develop and optimize automated data pipelines and dashboards using SQL and Python to ensure high-quality, real-time reporting, and operationalize models into production-ready workflows.
·
Synthesis &Communication:
Translate complex technical findings and model outputs into concise executive summaries and natural language insights for non-technical business leaders.
·
Strategic Collaboration:
Act as a bridge between data engineering and business units to ensure analytical and modeling solutions are perfectly aligned with real-world business needs.
Qualifications
·
Educational Background:
Bachelor's or Master's degree in a quantitative field (e.g.,Computer Science, Statistics, Data Science, Machine Learning, or Finance).
·
Technical Mastery:
Proven ability to query large, complex databases and optimize performance using SQL.
·
Proficient Python:
Strong coding skills for data manipulation (Pandas, NumPy) and automated analysis.
·
Machine Learning Expertise:
Hands-on experience building and deploying ML models using frameworks such as scikit-learn, XGBoost, TensorFlow, or PyTorch, including feature engineering, model evaluation, and tuning. Familiarity with MLOps practices (model deployment, monitoring, and versioning)is a plus.
·
Business Analysis Experience:
5+ years of experience in data analysis or data science, specifically in identifying business trends and solving real-world problems.
·
Synthesizing Ability:
Exceptional ability to "tell a story" with data, moving beyond the "what" to explain the "why" and "so what" in clear business terms.
Duotech PTE.LTD is a Fintech company based in Singapore with headquarters in Australia, and branch office in Taiwan, Malaysia, Singapore.
We consult, design & engineer successful software solutions &mobile Apps for forex trading, that fuel innovation & increase business efficiency.
Flexible and effective technology solutions: Mobile Apps, UI/UX Design, Software Development including CRM software development and Customized software Solutions.
We are looking for a highly analytical and business-savvy Data Scientist to join our global business intelligence & strategy team. The ideal candidate is a data master who can translate complex datasets into clear, actionable business strategies, and build machine learning models that turn data into predictive, automated decision-making. You will be responsible for detecting business abnormalities, performing deep-dive root cause analysis, developing predictive and analytical models, and delivering high-level summaries that guide our internal leaders and global clients.
Key Responsibilities
·
Business Intelligence& Analysis:
Deep-dive into customer behavior, business performance, and operational metrics to identify growth opportunities and potential risks.
·
Machine Learning &Modeling:
Design, build, train, and deploy machine learning models (e.g., forecasting, classification, anomaly detection, customer segmentation, churn/risk prediction) to drive predictive insights and automate decision-making at scale.
·
Root Cause Investigation:
Proactively identify data abnormalities (e.g., performancedips, operational shifts) and perform comprehensive root cause analysis toprovide clarity to stakeholders.
·
Technical Execution:
Develop and optimize automated data pipelines and dashboards using SQL and Python to ensure high-quality, real-time reporting, and operationalize models into production-ready workflows.
·
Synthesis &Communication:
Translate complex technical findings and model outputs into concise executive summaries and natural language insights for non-technical business leaders.
·
Strategic Collaboration:
Act as a bridge between data engineering and business units to ensure analytical and modeling solutions are perfectly aligned with real-world business needs.
Qualifications
·
Educational Background:
Bachelor's or Master's degree in a quantitative field (e.g.,Computer Science, Statistics, Data Science, Machine Learning, or Finance).
·
Technical Mastery:
Proven ability to query large, complex databases and optimize performance using SQL.
·
Proficient Python:
Strong coding skills for data manipulation (Pandas, NumPy) and automated analysis.
·
Machine Learning Expertise:
Hands-on experience building and deploying ML models using frameworks such as scikit-learn, XGBoost, TensorFlow, or PyTorch, including feature engineering, model evaluation, and tuning. Familiarity with MLOps practices (model deployment, monitoring, and versioning)is a plus.
·
Business Analysis Experience:
5+ years of experience in data analysis or data science, specifically in identifying business trends and solving real-world problems.
·
Synthesizing Ability:
Exceptional ability to "tell a story" with data, moving beyond the "what" to explain the "why" and "so what" in clear business terms.
Duotech PTE.LTD is a Fintech company based in Singapore with headquarters in Australia, and branch office in Taiwan, Malaysia, Singapore.
We consult, design & engineer successful software solutions &mobile Apps for forex trading, that fuel innovation & increase business efficiency.
Flexible and effective technology solutions: Mobile Apps, UI/UX Design, Software Development including CRM software development and Customized software Solutions.
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