Data Scientist

Rapsys Technologies Pte Ltd.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Rapsys Technologies Pte Ltd. is hiring a Data Scientist in Singapore to join our analytics team. You will work on data modeling, predictive analytics, and fraud detection to turn insights into impactful business solutions.

The role requires strong analytical skills and at least 3 years of experience, with a collaborative office-based environment. Based in Singapore, the Data Scientist will develop and validate models, perform EDA, and monitor model performance.

Qualifications

• 3+ years of experience in data science, analytics, or similar.
• Strong hands-on with Python and SQL.
• Experience in data modeling and predictive analytics.
• Fraud detection and anomaly detection expertise.
• Experience with model development, validation, and performance evaluation.
• Proficiency in feature engineering and back-testing.
• Ability to calibrate model thresholds and assess precision/recall metrics.
• Proficient in Exploratory Data Analysis (EDA) and data quality checks.
• Knowledge of data lineage and root cause analysis.
• Experience building analytical workflows.

Skills

Python

SQL

Data Science

Predictive Modelling

Fraud Detection

Model Development

Feature Engineering

EDA

Data Quality

Data Lineage

Root Cause Analysis

Analytical Workflow

Tools

Tableau/Power BI

MLOps

CI/CD

Apache Spark/PySpark

AWS Redshift

AWS Glue

Graph Analytics

Job description

We're Hiring: Data Scientist!

We are looking for a talented Data Scientist with at least 3 years of experience to join our team in Singapore. The ideal candidate will have strong analytical skills, expertise in data modeling, and a passion for turning insights into impactful business solutions. If you thrive on solving complex problems and enjoy working collaboratively in an office environment, we want to hear from you!

Location: Singapore, Singapore
Work Mode: Work from Office
Role: Data Scientist

1. Mandatory Skills

• Python and SQL – strong hands-on experience.
• Data Science and Advanced Analytics.
• Predictive Modelling and Risk Scoring.
• Fraud Detection and Anomaly Detection.
• Model Development, Validation and Performance Evaluation.
• Feature Engineering and Back-testing.
• Model Threshold Calibration.
• Precision, Recall and Model Performance Metrics.
• Exploratory Data Analysis (EDA).
• Large-scale Data Analysis and Data Quality.
• Data Lineage and Root Cause Analysis.
• Analytical Workflow Development.

2. Good-to-Have Skills

• Imbalanced Data and Delayed Outcome Labels.
• Model Monitoring – Data Drift and Concept Drift.
• Tableau/Power BI Dashboard Development.
• MLOps and CI/CD.
• Apache Spark/PySpark.
• AWS Redshift and AWS Glue.
• Graph Analytics/Network Analytics.
• Workforce, Training, Grants, Claims or Regulatory Data.
• Singapore Government/Public Sector Project Experience.