Data Scientist

3 days ago

Singapur, Singapore Allegis Group Singapore Pte Ltd Full time

Design and implement data quality metrics, sampling methods, and audit frameworksConduct statistical analysis to identify anomalies and ensure rating accuracyBuild automation tools and self-serve dashboards to streamline quality checks. 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. #J-18808-Ljbffr

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