Data Scientist - Amazon Web Services - Boston, MA

Job description

DESCRIPTION

Data Scientist – Amazon Web Services – Boston, MA.
Amazon Elastic File System (EFS) https://aws.amazon.com/efs/ is looking for a Data Scientist to dive deep into the vast data generated by a rapidly growing AWS storage service and applying current data analysis methods to produce insights that will improve customer experience, operational effectiveness, and business value. As a member of the Amazon EFS team, you'll work closely with outstanding engineers and product managers to work hard, have fun, and create the future of cloud storage.
Amazon Web Services (AWS) is a dynamic and rapidly growing business within Amazon, with over a million active customers in 190 countries around the world. AWS has been continually expanding its services to support virtually any cloud workload, and it now has more than 90 services that range from compute, storage, networking, database, analytics, application services, deployment, management, developer, mobile, Internet of Things (IoT), Artificial Intelligence (AI), security, hybrid and enterprise applications. We maintain this rapid pace of innovation by treating each team like its own independent business inside AWS, directly accountable for their customers' satisfaction, service innovations, growth, and meeting revenue goals.
As a Data Scientist on EFS you will be curious and dive deep into performance, business, and operational metrics. You're excited about designing solutions that scale while also engaging individual customers in understanding their applications. You're able to think about business opportunities, operational issues, and architectural diagrams in the course of a single conversation. You're looking for a team of bright, capable engineers to work with directly in implementing your vision while also collaborating with other data scientists across AWS.

Desired profile

BASIC QUALIFICATIONS

· MS degree or higher in Applied Mathematics, Computer Science, Engineering, or related field (PhD preferred)
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· 4+ years professional experience in modeling and statistical analysis of large data sets
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· Basic understanding of scalable computing systems, software architecture, data structures, and algorithms
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· Understanding of statistical methods
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· Track record of developing and implementing models using programming and scripting (Java, Python, R, Ruby, C/C++, or Matlab)