Senior Data Scientist

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 wo