Sr. Machine Learning Scientist, AWS Demand Modeling

at  Amazon Dev Center US Inc

• PhD or foreign equivalent in Computer Science, Machine Learning, Statistics, or a related field and five years of work or research experience in the job offered or a related occupation or a Master’s Degree or foreign equivalent in Computer Science, Machine Learning, Statistics, or a related field and nine years of research or work experience in the job.
• Five years of research or work experience in the following skill(s): programming in Java, C++, Python, or equivalent programming language; and conducting the analysis and development of various supervised and unsupervised machine learning models for moderately complex projects in business, science, or engineering.
  Job summary
  ML scientists at Amazon participate in the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for machine learning (ML) and time-series forecasting applications. Develop and/or apply statistical modeling techniques (e.g. Bayesian models and deep neural networks), optimization methods, and other ML techniques to different applications in business and engineering. Routinely build and deploy ML models on available data. Research and implement novel ML and statistical approaches to add value to the business. Mentor junior engineers and scientists.
  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.

Please refer the Job description for details