Data Scientist

**🌟 We're Hiring: Data Scientist! 🌟** We are looking for an experienced Data Scientist to join our dynamic team in Singapore. The ideal candidate will have a strong background in data analysis, machine learning, and statistical modeling to drive business insights and innovation. If you thrive on solving complex problems with data-driven solutions, we want to hear from you! **📍 Location:** Singapore, Singapore **⏰ Work Mode:** Work from Office **💼 Role:** Data Scientist **What You'll Do:Requirements & Qualifications A. Educational Qualification & Experience Education:** Degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics or a related quantitative discipline. Experience: 3–5 years of hands-on experience in data science, advanced analytics, model validation, fraud/risk analytics or programme analytics. B. Technical & Professional Competencies • Strong hands-on proficiency in Python and SQL for data extraction, transformation, exploratory analysis, with experience building reproducible analytical workflows. • Hands-on experience developing, validating or enhancing predictive, risk-scoring, fraud-detection or anomaly-detection models, including feature development, back-testing, threshold calibration and performance evaluation using measures such as precision, recall and related trade-offs. • Experience translating business, policy or operational requirements into analytical specifications, model logic, indicators, rules or measurable risk hypotheses • Experience working with complex, large-scale datasets, including assessing data quality, tracing data lineage, investigating anomalies and documenting analytical assumptions. Preferred (Advantageous) • Experience handling the technical challenges to fraud or risk modelling, including imbalanced data and delayed, incomplete or evolving outcome labels. • Experience designing or implementing production model-monitoring approaches, including data drift, concept drift and alert thresholds. • Experience building analytical dashboards using Tableau or an equivalent platform. • Experience with CI/CD, MLOps controls or the operational deployment of analytical models. • Experience with Spark or PySpark and enterprise data platforms, particularly AWS Redshift and AWS Glue. • Experience with network or graph analytics to identify related entities or coordinated patterns. Eager to turn data into impactful decisions? 🚀 Apply now and help shape our future with your expertise!