About
The client is an established software development house serving local and overseas clients in a highly competitve but lucrative industry. They are looking to add up and coming junior data scientists with a passion for identifying anomalies, detecting patterns, and building models to solve real world problems to deliver solutions to clients.
Responsibilities
- Anomaly & Pattern Detection: Design and implement algorithms to detect
irregular transaction patterns, synthetic activities, and coordinated behavioral
anomalies in real-time.
- Predictive Analytics: Develop models to forecast user engagement trends and
platform utilization, identifying potential churn or high-value segments before they
occur.
- Automated Intelligence: Transition manual data monitoring into automated
Python workflows and SQL-based alerts that flag outliers instantly.
- Data Forensics: Conduct deep-dive investigations into complex, unstructured
log data to identify the root causes of data discrepancies or unusual platform
activity.
- Pipeline Optimization: Collaborate with the engineering team to optimize data
structures (e.g., in ClickHouse or AWS) to ensure models run efficiently on live
data