Data Modeler

RESPONSIBILITIES

• Build and refine predictive models that support insider risk and cyber-related use cases.
• Work across raw and transformed datasets to develop meaningful model inputs and outputs.
• Analyze dynamic behavioral patterns and interaction-driven signals.
• Contribute to AI/ML workflows in a modern distributed data environment.
• Develop and test model logic using Python, PySpark, and related tools.
• Partner with technical teams to support scalable model development.
• Help shape emerging approaches to behavior-based risk detection.
• Operate within Databricks and distributed processing frameworks to support advanced analytics.

• Strong computer science or technical engineering foundation.
• Experience developing predictive or behavior-driven models.
• Proficiency in Python.
• Working knowledge of Java is a plus.
• Hands-on experience with Databricks and PySpark.
• Exposure to distributed data processing and scalable analytics workflows.
• Background in AI/ML, data science, and applied statistical methods.
• Ability to work with complex datasets and ambiguous problem spaces.
• Strong problem-solving skills and comfort with evolving model design.
• Ability to explain technical concepts and modeling decisions clearly.

• Insider risk, cyber analytics, fraud, surveillance, or anomaly detection experience.
• Familiarity with emergent behavior or complex systems modeling.
• Experience with behavioral analytics or interaction-based model design.
• Exposure to enterprise-scale data platforms.
• Experience product ionizing models in operational settings.