Data Scientist

DUOTECH PTE. LTD.; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

DUOTECH PTE. LTD. is seeking a highly analytical Data Scientist to join its global BI & strategy team in Singapore.

You will translate complex datasets into clear, actionable business strategies and develop ML models that turn data into predictive, automated decisions. You will detect abnormalities, perform root-cause analysis, build production-ready pipelines in SQL and Python, and deliver concise executive summaries for leaders and clients.

Qualifications

• Bachelor's or Master's degree in a quantitative field.
• Strong SQL proficiency and data querying.
• Proficient Python for data manipulation.
• Hands-on ML with scikit-learn, XGBoost, TensorFlow, or PyTorch.
• 5+ years of experience in data analysis or data science.
• Ability to tell stories with data.

Responsibilities

• Deep-dive BI & analysis to identify growth opportunities and risks.
• Design, build, train, and deploy ML models for predictive insights and automation.
• Identify data abnormalities and perform root cause analysis for clarity.
• Develop and optimize automated data pipelines and dashboards using SQL and Python.
• Translate complex findings into concise executive summaries for leaders.
• Collaborate with data engineering and business units to align analytical solutions with needs.

Skills

Data analysis

SQL

Python

Machine Learning

Storytelling with data

Business analysis

Education

Bachelor's or Master's in quantitative field

Tools

scikit-learn

XGBoost

TensorFlow

PyTorch

SQL

Keras

Job description

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., performance dips, 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.