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Sr. Applied Scientist, Anomaly Detection & Insights

Job ID: 1728825 | Amazon Dev Centre (London) Ltd

DESCRIPTION

Job summary
Come build the future of entertainment with us. Are you interested in shaping the future of movies and television? Do you want to define the next generation of how and what Amazon customers are watching?

Prime Video is a premium streaming service that offers customers a vast collection of TV shows and movies - all with the ease of finding what they love to watch in one place. We offer customers thousands of popular movies and TV shows from Originals and Exclusive content to exciting live sports events. We also offer our members the opportunity to subscribe to add-on channels which they can cancel at anytime and to rent or buy new release movies and TV box sets on the Prime Video Store. Prime Video is a fast-paced, growth business - available in over 240 countries and territories worldwide. The team works in a dynamic environment where innovating on behalf of our customers is at the heart of everything we do. If this sounds exciting to you, please read on.

You will have the opportunity to work with a variety of leading technologies, leveraging AWS. You will help shape the future of Amazon’s video platform by investigating new approaches to provide the best video user experience for customers. This will be balanced with sound engineering practices leveraging tools, data and machine learning. Your goal is to build the best video playback application for the world's most customer-centric company.

Key job responsibilities
You will apply your deep knowledge of machine learning to concrete problems that have broad cross-organizational, global, and technology impact. Your work will focus on retrieving, cleansing and preparing large scale datasets, training and evaluating models and deploying them to production where we continuously monitor and evaluate. You will work on large engineering efforts that solve significantly complex problems facing global customers. You will be trusted to operate with independence and are often assigned to focus on areas with significant impact on audience satisfaction. You must be equally comfortable digging in to customer requirements as you are drilling into design with development teams and developing production ready learning models. You consistently bring strong, data-driven business and technical judgment to decisions.

A day in the life
You will work with internal and external stakeholders, cross-functional partners, and end-users around the world at all levels. Our team makes a big impact because nothing is more important to us than pleasing our customers, continually earning their trust, and thinking long term. You are empowered to bring new technologies and deep learning approaches to your solutions.

We embrace the challenges of a fast paced market and evolving technologies, paving the way to universal availability of content. You will be encouraged to see the big picture, be innovative, and positively impact millions of customers.

About the team
We are responsible for building services that reduce the time to identify and resolve live customer impacting problems. We do this through tools that automatically detect, diagnose and triage issues within hyper fragmented environments. Our team owns a service which performs real time anomaly detection on thousands of customer metrics to identify and escalate unexpected issues to engineering teams.

BASIC QUALIFICATIONS

· Experience programming in Java, C++, Python or related language
· Master's degree with applied research experience
· Experience of building machine learning models for business application
· PhD degree in Computer Science, Machine Learning, Applied Mathematics, Operations Research or a related field, or a Master's degree and equivalent work experience
· Experience in designing analytic and/or algorithmic solutions to business or operational problems
· Experience implementing algorithms, tailored to particular business needs and tested on large data sets
· Excellent communication skills with both technical and non-technical audiences
· Ability to work independently and as part of a diverse team.

PREFERRED QUALIFICATIONS

· Experience with time series forecasting techniques and behavioural clustering techniques
· Previous work experience or demonstrated practical experience through industrial internships
· Excellent interpersonal skills and a can-do never-give-up attitude
· Experience with scripting languages (Python, Ruby, etc.), SQL, object-oriented programming languages (java, C++, etc.)
· Experience with optimization software and libraries (Matlab, R, etc.) and simulation software


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. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.