Skip to main content

Applied Scientist

Job ID: 1383333 | Amazon Dev Centre(Scotland)Ltd

DESCRIPTION

Amazon is looking for an Applied Scientist. As an scientist working at Amazon, you will play a key role in identifying business opportunities, measuring opportunity, inventing and prototyping solutions. You will use a wide range of technologies, programming languages and systems, and work alongside an experienced engineering team. You will have the freedom and encouragement to explore your own ideas and the reward of seeing your contributions benefit millions of customers worldwide.

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build.

All offers are conditional on references, verification of the right to work in the UK, and a successful background screening check. This check will include previous employment verification, qualification verification (if relevant) and a basic criminal check. Further details of this policy and procedure will be sent to you along with your conditional offer.

Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Consult our Privacy Notice to know more about how we collect, use, and transfer the personal data of our candidates.

BASIC QUALIFICATIONS

· Experience programming in Java, C++, Python or related language
· Experience of building machine learning models for business application
· PhD or equivalent Master's Degree plus experience in CS, CE, ML or related field
· Experience programming in Java, C++, Python or related language
· Master's in Computer Science, Mathematics, Machine Learning, or related quantitative field

PREFERRED QUALIFICATIONS

· Ph.D. degree in Computer Science, Data Science, or related field.
· Experience of working with deep neural networks
· Experience of working with big data, including analysis, visualization, and clustered computing (e.g. Spark)