Forward Deployed Data Scientist

Responsibilities

• Collaborate with customers, engineering, and product teams to operationalize vulnerability models
• Lead discovery and prioritization of customer security data sources including EDR, IAM, and cloud posture
• Partner with engineering to design and validate data ingestion pipelines
• Perform data analysis to diagnose issues regarding completeness, accuracy, and consistency
• Define and maintain technical documentation such as integration guides and data dictionaries
• Collect, clean, and normalize various security data sources

Requirements

• Proficiency in Python and SQL
• Experience with APIs, data formats, and Git/version control
• Fluency in enterprise security engineering and architecture
• Expertise in exposure and vulnerability management
• Skills in security data integration and normalization
• Strong technical communication skills for customer-facing workshops and documentation
• Working knowledge of security telemetry (vulnerability scanners, EDR, IAM, CMDB)
• Pragmatic analytics capability including basic statistics and exploratory analysis

About the Company

Empirical Security builds the next generation of cybersecurity vulnerability models by leveraging ground-truth telemetry to develop predictive, actionable insights for cloud, appsec, and traditional environments.