Senior Data Scientist
Core
Analyze and optimize complex rule-based detection logic, data flows, and processing pipelines within a cybersecurity product ecosystem to improve operational efficiency and reduce redundancy.
Role type
Senior Data Scientist (Analytics Engineering & Detection Systems)
Builds
Optimized detection logic, simplified data pipelines, and improved operational intelligence systems
Domain
Cybersecurity / Enterprise Risk Analytics
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, large-scale data analysis, rule-based system logic, system behavior evaluation, cross-functional collaboration, autonomous problem solving
Preferred skills
Snowflake, cybersecurity/fraud detection domain expertise, rule-based system architecture, enterprise analytics platforms, signal processing systems
Technologies
Python, SQL, Snowflake, JavaScript
Responsibilities
Investigate existing detection logic and data flows, identify inefficiencies and redundancies, propose optimization approaches, conduct exploratory analysis on large datasets, assess downstream operational risks, translate findings into recommendations for stakeholders
Seniority
Senior, hands-on IC