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Amazon
Senior Applied Scientist
Fișa jobului
Description
Amazon’s CloudTune group in Romania is seeking a passionate Applied Scientist with strong analytical, technical and communication skills to address increasingly complex business questions within the CloudTune team. Amazon's CloudTune Scaling Efficiency team automates capacity management of AWS products used for Amazon business (Consumer Retail, Amazon Video, Kindle, Alexa, Amazon Subsidiaries and more). The team develops and operates CloudTune Scaling Planner which scales services by continually monitoring and adjusting compute capacity to maintain the service’s target utilization levels for both peak sales events (e.g. Prime Day, Black Friday, Cyber Monday) and non-peak periods. We process big data sets of hardware performance metrics in order to identify and understand hardware scaling behavior of Amazon websites.
Within a team of applied scientists and software engineers you will develop a range of algorithms and models that help software products manage the operations efficiency and availability of our highly distributed website implementation that serve 10s of billions of customer requests per day through Amazon retail websites, Kindle, Amazon Instant Video, Amazon subsidiaries and more. You will need to demonstrate great passion for customers, agility and adaptability in the face of fast changing business requirements and innovation across the company.
As the ideal candidate you will be able to independently mine and analyze data, and use any necessary programming, machine learning and statistical analysis software to do so. Within the CloudTune organization, you will thrive in a fast-paced, startup-like environment focused on building systems that automate the scaling of all Amazon websites and services. This translates to a very large volume of data to be processed by sophisticated algorithms, presenting challenging scalability, efficiency, and distributed systems design problems. You will partner with technology and business leaders that own the full scope of computing capacity supply for Amazon, from forecasting to procurement through provisioning and operation. As a team scientist you will drive collaborative and creative problem solving, measure and estimate risks, constructively critique peer research, and align research focuses with the Amazon’s strategic need to optimize compute the supply of compute capacity supply within Amazon. You will participate in the design and implementation efforts between multiple teams to develop optimal solutions. You will contribute to initiatives that benefit all of Amazon while leveraging the latest in AWS, big data and machine learning.
CloudTune is an agile team with significant impact. If you can think big and want to be a part of a fast moving team breaking new ground at Amazon.com, and you meet the qualifications below, we would like to speak with you!
Basic Qualifications
Job ID: A777358
Amazon’s CloudTune group in Romania is seeking a passionate Applied Scientist with strong analytical, technical and communication skills to address increasingly complex business questions within the CloudTune team. Amazon's CloudTune Scaling Efficiency team automates capacity management of AWS products used for Amazon business (Consumer Retail, Amazon Video, Kindle, Alexa, Amazon Subsidiaries and more). The team develops and operates CloudTune Scaling Planner which scales services by continually monitoring and adjusting compute capacity to maintain the service’s target utilization levels for both peak sales events (e.g. Prime Day, Black Friday, Cyber Monday) and non-peak periods. We process big data sets of hardware performance metrics in order to identify and understand hardware scaling behavior of Amazon websites.
Within a team of applied scientists and software engineers you will develop a range of algorithms and models that help software products manage the operations efficiency and availability of our highly distributed website implementation that serve 10s of billions of customer requests per day through Amazon retail websites, Kindle, Amazon Instant Video, Amazon subsidiaries and more. You will need to demonstrate great passion for customers, agility and adaptability in the face of fast changing business requirements and innovation across the company.
As the ideal candidate you will be able to independently mine and analyze data, and use any necessary programming, machine learning and statistical analysis software to do so. Within the CloudTune organization, you will thrive in a fast-paced, startup-like environment focused on building systems that automate the scaling of all Amazon websites and services. This translates to a very large volume of data to be processed by sophisticated algorithms, presenting challenging scalability, efficiency, and distributed systems design problems. You will partner with technology and business leaders that own the full scope of computing capacity supply for Amazon, from forecasting to procurement through provisioning and operation. As a team scientist you will drive collaborative and creative problem solving, measure and estimate risks, constructively critique peer research, and align research focuses with the Amazon’s strategic need to optimize compute the supply of compute capacity supply within Amazon. You will participate in the design and implementation efforts between multiple teams to develop optimal solutions. You will contribute to initiatives that benefit all of Amazon while leveraging the latest in AWS, big data and machine learning.
CloudTune is an agile team with significant impact. If you can think big and want to be a part of a fast moving team breaking new ground at Amazon.com, and you meet the qualifications below, we would like to speak with you!
Basic Qualifications
- PHD/MS. in Computer Science, Machine Learning, Operational Research, Statistics or a related quantitative field
- At least 5+ years of hands-on experience in predictive modeling and analysis
- Proficiency in model development, model validation and model implementation for large-scale applications
- At least 2+ years hands on experience programming in R, Java, C#, C++ or other similar programming languages
- Hands on experience with scripting languages such as Python, Perl
- Communication: Able to convey mathematical results in plain English, being able to clarify and formalize complex problems.
- 1+ years professional experience in software development
- PhD
- 7+ years of practical experience applying ML to solve complex problems in an applied environment;
- Significant peer reviewed scientific contributions in premier journals and conferences;
- Strong fundamentals in problem solving, algorithm design and complexity analysis;
- Experience with defining research and development practices in an applied environment;
- Proven track record in technically leading and mentoring scientists;
- Superior verbal and written communication and presentation skills, ability to convey rigorous mathematical concepts and considerations to non-experts.
Job ID: A777358
Nivel de vechime
Nivel mediu de experiență
Tip de angajare
Full-time
Ocupație
Tehnologia informației
Sectoare de activitate
Software