Data Science Engineering Analyst

Overview As a Data Science Engineering Analyst, you will analyze complex data, build predictive models, and translate insights into actionable business decisions. You’ll bridge data engineering and data science to ensure robust pipelines and scalable analytical solutions. You will work with cross-functional teams to improve anti-abuse workflows and deploy data-driven strategies that protect the client ecosystem. This role offers meaningful impact through innovative investigations and collaboration with stakeholders while advancing quality and automation. ResponsibilitiesApply advanced statistical methods to large data sets to assess abuse impactContribute to strategy and development of new anti-abuse workflowsLearn and communicate complex concepts and results clearlyProvide regular quality metrics to global team and promote qualityManage solutions for QA automation and scalable training for emergent workflowsPerform deceptive/manipulated content investigations and anti-abuse experimentsCollaborate with engineers and stakeholders to improve workflows via automation and system creationDevelop training materials and maintain client communication with business stakeholders Key requirements3 years of experience in data management, metrics analysis, experiment design and automationExperience with classification or ranking systemsExperience collecting, managing, and analyzing large data sets from disparate sources; statistical modelling, data miningstrong communication of technical resultscross-functional collaborationability to translate complex concepts for non-technical stakeholdersstatistical modellingdata miningdata management