Senior Data Scientist

Are you passionate about solving complex data challenges beyond traditional Machine Learning models? We are looking for a Senior Data Scientist to join a newly forming team focused on improving large-scale analytics and detection systems within a cybersecurity product ecosystem.As part of Sigma Software, you will collaborate with engineers, researchers, and analytics experts to simplify complex detection logic, investigate enterprise-scale data flows, and drive impactful improvements across production systems. This is a Full-time remote/hybrid opportunity for specialists who enjoy autonomy, systems thinking, and solving ambiguous analytical problems.We at Sigma Software offer the opportunity to work on technically sophisticated products, influence analytical practices from the early stages, and collaborate with experienced international teams in a fast-paced environment.CUSTOMEROur Customer is a global cybersecurity company delivering enterprise-grade security and risk mitigation solutions for organizations and digital platforms worldwide. The company operates in a highly data-driven environment where large-scale signal processing, detection systems, and operational intelligence play a critical role in protecting users and businesses against evolving digital threats.PROJECTThe project focuses on improving and simplifying a sophisticated analytics and detection ecosystem within the Customer’s Enterprise product line. The team works with complex rule-based detection logic and large-scale signal processing systems to identify redundancy, optimize data flows, and improve operational efficiency without compromising effectiveness.This is not a Machine Learning-focused position. Instead, the role requires deep analytical thinking, engineering understanding, and the ability to investigate complex live systems independently. You will work closely with engineers, data scientists, and security researchers in a dynamic environment with rapid iteration cycles and evolving priorities.Job DescriptionAnalyze and investigate existing detection logic built on multiple interconnected signals and rule-based expressionsUnderstand and map complex data flows, processing pipelines, and dependencies across enterprise systemsIdentify redundancy, inefficiencies, and unnecessary complexity within current detection structuresPropose simplification and optimization approaches while preserving detection quality and operational effectivenessConduct exploratory analysis on large and complex datasets to validate hypotheses and support decision-makingAssess downstream implications and operational risks of proposed changes before implementationTranslate analytical findings into clear recommendations for technical and non-technical stakeholdersCollaborate closely with engineers, data scientists, and security researchers to gather context and resolve blockers independentlyOperate effectively in a fast-paced environment with shifting priorities and short delivery cyclesContribute to improving analytical methodologies and approaches within the newly forming teamQualifications5+ years of experience in Data Science, Analytics Engineering, Data Analytics, or related analytical rolesStrong proficiency in Python and SQLExperience working with large-scale and complex datasetsStrong analytical and problem-solving skills with the ability to independently structure ambiguous problemsProven experience driving investigations from hypothesis generation to data-backed conclusionsStrong engineering mindset with the ability to understand and reason about complex logic and codebasesAbility to evaluate system behavior and understand downstream impacts of analytical decisionsExperience collaborating cross-functionally with engineering and research teamsAbility to work autonomously with minimal supervisionUpper-Intermediate or higher English levelFamiliarity with JavaScriptWILL BE A PLUSExperience with SnowflakeExperience in cybersecurity, fraud detection, or risk analytics domainsExperience working with rule-based systems or detection pipelinesExposure to enterprise-scale analytics platformsUnderstanding of data pipeline architecture and signal processing systems PERSONAL PROFILEIndependent and proactive problem solverCurious and investigative mindsetComfortable working in ambiguous environmentsStrong ownership mentalityAdaptable to changing priorities and fast delivery cyclesCollaborative and communication-orientedDetail-oriented with strong systems thinking capabilities