Analyze and investigate existing detection logic built on multiple interconnected signals and rule-based expressions
Understand and map complex data flows, processing pipelines, and dependencies across enterprise systems
Identify redundancy, inefficiencies, and unnecessary complexity within current detection structures
Propose simplification and optimization approaches while preserving detection quality and operational effectiveness
Conduct exploratory analysis on large and complex datasets to validate hypotheses and support decision-making
Assess downstream implications and operational risks of proposed changes before implementation
Translate analytical findings into clear recommendations for technical and non-technical stakeholders
Collaborate closely with engineers, data scientists, and security researchers to gather context and resolve blockers independently
Operate effectively in a fast-paced environment with shifting priorities and short delivery cycles
Contribute to improving analytical methodologies and approaches within the newly forming team

5+ years of experience in Data Science, Analytics Engineering, Data Analytics, or related analytical roles
Strong proficiency in Python and SQL
Experience working with large-scale and complex datasets
Strong analytical and problem-solving skills with the ability to independently structure ambiguous problems
Proven experience driving investigations from hypothesis generation to data-backed conclusions
Strong engineering mindset with the ability to understand and reason about complex logic and codebases
Ability to evaluate system behavior and understand downstream impacts of analytical decisions
Experience collaborating cross-functionally with engineering and research teams
Ability to work autonomously with minimal supervision
Upper-Intermediate or higher English level
Familiarity with JavaScript

WILL BE A PLUS

PERSONAL PROFILE

Data Generalist.

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