Amazon Corporate LLC Data Scientist in Denver, Colorado

Data ScientistJob ID 641712 Location US-CO-Virtual Location - Colorado Posted Date4/17/2018 Company Amazon Web Services, Inc. Position Category ResearchScience Recruiting Team .. Job DescriptionExcited by using massive amounts of data to create sophisticated securityanalytics? Does pushing the envelope with user and entity behavior analytics(UEBA) including developing statistical, stochastic and machine learningmodels for security excite you? Want to help the largest global enterprisesoperate safely in the cloud and securely derive business value at anunprecedented scale? Your work will create the technical means that enablesAmazon to grow rapidly yet securely. This is an opportunity to operate in a truly groundbreaking manner given thesheer scale, breadth, and fast pace of the AWS environment. Datascientists work backward from the threats, creating new and innovative waysto detect, assess and react to potential malicious activity. We are hiring technical specialists at the convergence of the four hottestareas in tech: Data Science, Security, Software Development and CloudServices. Worried that you do not have hands-on experience in all fourareas? We are looking for solid base and expertise in one area - you willgrow expertise in the remaining areas to round out your background in all fourkey areas. You will work directly with the biggest internal and externalAmazon customers - leveraging data and analytics to create innovative ways towork securely in the cloud. Your job is distilling meaningful insights from large volumes of data, as avehicle for creating security analytics to address the constantly evolvingthreat and attack space from sophisticated adversaries. This role will giveyou an opportunity to use and grow a broad range of skills in data science,analytic development, and information security - all using and creatingcloud services in large scale computing environments. Considering the scaleand the magnitude of the technical challenge, this role is a greatopportunity to make a meaningful contribution to an extremely important area.Operating in the cloud at our scale enables activities that have never beforebeen possible, providing new advantages and opportunities for innovative work. A reactive security model in not acceptable, instead you will enhancereal-time proactive and preemptive systems using data driven techniques. Theanalytic techniques are applied at each stage from detection (e.g.statistical, stochastic modeling) to response mitigation (e.g. MonteCarlo and predictive modeling). This job will challenge the candidate todive deep into the extreme data world and understand the unique challenges inoperating this platform at a scale unrivaled in the industry. Our scaleprovides unique opportunities that simply don't exist elsewhere, but theseopportunities can only be revealed by a scientific thinker with a curiousmind.Basic QualificationsA post graduate degree in a scientific field is preferred but successfuldevelopment and deployment of security analytics count. The right candidatehas a background in probability and statistics, applied mathematics, orcomputational science and a history of solving difficult problems using ascientific approach. An M.S. or Ph.D. in Computer Science, Electrical and ComputerEngineering, Mathematics or equivalent degree. Candidates with BS consideredwith experience in predictive modeling, data science, machine learning,or user and entity behavior analytic development.Success introducing automation and operating within a fast paced prototypingenvironmentInformation Security related:Endpoint and application securityNetwork security with deep familiarity with standard Internet protocols(Ethernet, ARP, IP, ICMP, UDP, TCP, SSL, DNS, HTTP, etc.)Commercial security solutions such as web application firewalls,IDS/IPS, SIEM, DLP, DDOS mitigationEnterprise security solutions such as WAF, IPS, Anti-DDOS, and SIEMExcellent written and oral communication skills, strong sense ofownership, urge