Machine Learning Scientist

US, CA, Virtual Location - California

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Posted 3 weeks ago

The AWS Demand Forecasting and Planning team is responsible for growing the world's largest Cloud. We forecast customer demand, build ML systems that understand customer needs, and drive utilization improvement for all AWS services.

What we own:
· Building a world-class forecasting platform that scales to handling billions of time series data in real time.
· Expanding inventory replenishment models and systems for each AWS service in the fast-growing AWS product portfolio.
· Finding out the optimal tradeoff between AWS service availability and fleet utilization.
· Driving fleet utilization improvement where each 1% means tens of millions of additional free cash flow.
· Automating tactical and strategic capacity planning tools to optimize for service availability and infrastructure cost.
What you will learn:
· State of the art forecasting methodologies.
· Application of machine learning to large-scale customer analytics.
· Inventory management and supply chain management for the Cloud.
· Resource management and admission control for the Cloud.
· The internals of all AWS services.

Forecasting, Statistics, Machine Learning, Optimization, Inventory Management, Supply Chain Management, AWS, Cloud, Cloud Computing, EC2, S3, EBS, DynamoDB, CloudFront, Java, C++, Object Oriented, R, Distributed Systems, High Availability, Scalability, Concurrent

Basic Qualifications

· B.S. degree in mathematics, statistics, computer science or a similar quantitative field
· Experience in using SQL to analyze data in a database or data warehouse and be able to use a major programming and/or a scripting language (Perl, Unix shell) to process data for modeling
· 5+ years of experience in the following: data mining/predictive modeling, Linux/Unix tools, coding in at least one major programming language (e.g. Java/C) and experience in mathematical programming libraries (such as R, Weka, Matlab, SAS)
· Experience working with a wide range of predictive and decision models and data mining techniques, as well as tools for developing such models

Preferred Qualifications

· Ph.D. in an analytical area such as Mathematics, Statistics, Computer Science, Physics, Engineering or similar
· Ability to communicate effectively across multiple organizations in the company
· Experience with time-series forecasting
· Strong knowledge of statistics and probability
· Strong knowledge of model design, selection, and hypothesis testing
· Programming experience in C++ or Java
· Experience with SQL/noSQL databases to manage and analyze large data sets
· Meets/exceeds Amazon’s leadership principles requirements for this role
· Meets/exceeds Amazon’s functional/technical depth and complexity for this role

Amazon is an Equal Opportunity Employer – Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age

Job tags: AWS Data Mining Distributed Systems Engineering Java Linux Machine Learning Matlab NoSQL Perl R SQL Statistics