Data Scientist

ALLEGIS GROUP SINGAPORE PRIVATE LIMITED; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

A global technology organisation is seeking a Data Scientist in Singapore to enhance data quality for large-scale search systems. The ideal candidate has strong analytical skills, proficiency in Python and SQL, and an interest in building automation tools. This role offers the chance to make a significant impact on products used by millions and to work within a high-energy team across data science and operations.

Benefits

Opportunity to influence product quality

Collaboration with cross-functional teams

Qualifications

• Experience in data quality management or data science.
• Proficiency in Python and SQL.
• Knowledge of quality assurance principles.

Responsibilities

• Design and implement data quality metrics and audit frameworks.
• Conduct statistical analysis to ensure rating accuracy.
• Build automation tools and self-serve dashboards.

Skills

Analytical skills

Statistical skills

Python

SQL

Data visualization (Tableau, Power BI)

Communication skills

Self-serve tools development

Tools

Pandas

NumPy

Scikit-learn

Flask

Streamlit

Spark

Job description

We are looking for a Data Scientist to join a growing team within a global technology organisation. This role focuses on using data science and quality management techniques to improve the accuracy and integrity of large-scale search and machine learning recommendation systems impacting millions of users world-wide.

The ideal candidate is passionate about data quality, risk assessment, and automation, and enjoys building tools that make processes smarter and more efficient.

Key Responsibilities

• Design and implement data quality metrics, sampling methods, and audit frameworks.
• Conduct statistical analysis to identify anomalies and ensure rating accuracy
• Build automation tools and self-serve dashboards to streamline quality checks.
• Collaborate closely with global operations and data engineering teams.
• Develop Python-based solutions to process, evaluate, and improve data reliability.

Requirements

• Strong analytical and statistical skills, with experience in data quality management or data science.
• Proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL for data querying and analysis.
• Experience with data visualization (Tableau, Power BI, or similar).
• Knowledge of quality assurance principles and risk identification.
• Excellent communication skills and a strong sense of ownership
• Experience developing self-serve tools or web applications using Python frameworks (e.g. Flask, Streamlit, Spark) is preferred
• Exposure to advanced statistical models (Bayesian analysis, survival analysis, etc.) and advanced machine learning algorithms (e.g., decision trees, clustering, time-series forecasting) is an advantage.

What You’ll Gain

• Opportunity to contribute to the quality and accuracy of products used by millions of users worldwide.
• Join a fast-moving, high-impact team working across data science, quality operations, and automation engineering.
• Work with cross-functional partners across data, search, and content domains.