Robust experience in data science, analytics, or machine learning

Proficiency in Python and SQL for data analysis and model development

Hands-on experience with Databricks and large-scale data platforms (e.g., Rahona or equivalent)

Solid understanding of

Anomaly detection techniques

Threshold calibration and signal optimization

Model behavior and performance evaluation

Experience working with alerting systems, monitoring data, or operational metrics

Ability to translate complex data into transparent, actionable insights

Technical Requirements

Must Have:
Python, SQL
Machine Learning (anomaly detection, classification, clustering)
Understanding of AI / GenAI concepts and agent-based architectures
Experience with Power BI or similar visualization tools

Nice to Have:
Exposure to Splunk, Datadog, TMX, BioCatch, or similar alerting platforms
Experience in fraud, cybersecurity, or operational risk analytics
Experience working in regulated or audit-driven environments

Nice to Have
Experience with GenAI or agentic AI workflows (e.g., automation, recommendation systems)
Exposure to risk, compliance, or regulatory monitoring frameworks

📌 Alerting Triage Optimization Data Scientist Toronto
🏢 LanceSoft
📍 Toronto