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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.
Job Responsibility:
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
Requirements:
Minimum 1.5 years of work experience as a data scientist
Relevant bachelor's degree in computer science, data science, IT, or statistics