- 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
- Experience with Snowflake
- Experience in cybersecurity, fraud detection, or risk analytics domains
- Experience working with rule-based systems or detection pipelines
- Exposure to enterprise-scale analytics platforms
- Understanding of data pipeline architecture and signal processing systems
PERSONAL PROFILE
- Independent and proactive problem solver
- Curious and investigative mindset
- Comfortable working in ambiguous environments
- Strong ownership mentality
- Adaptable to changing priorities and fast delivery cycles
- Collaborative and communication-oriented
- Detail-oriented with strong systems thinking capabilities