drjobs Applied Science Manager Personalization Team

Applied Science Manager Personalization Team

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1 Vacancy
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Job Location drjobs

Edinburgh - UK

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Take Earths most customercentric company. Mix in hundreds of millions of shoppers spending tens of billions of pounds annually an exciting opportunity to build nextgeneration shopping experiences Amazons tremendous computational resources and our extensive eCommerce experience. What do you get The most exciting Recommendations/Personalization position in the industry.

Are you passionate about working on disruptive ideas Are you obsessed with finding and building the most innovative and customerfriendly user experiences Have you built and launched new experiences that impact shoppers all around the world This is a unique opportunity that combines the ability to build exciting new user experiences for Amazons customers with the opportunity to work with Big Data Machine Learning and other advanced techniques to provide the best personalized experience for hundreds of millions of Amazons customers.

More about the role:
Our organization is growing our focus on the shopping experience for health & personal care groceries and other nascent product categories. We are responsible for one of the largest and fastestgrowing businesses in the company and are seeking an applied science manager to build a team of worldclass software engineers and scientists that will deliver on an Amazoncritical charter. This team will need to deliver experiences that delight customers and create longterm value for the company.

This role requires good technical skills a deep understanding of machine learning approaches and a passion for melding ML with great user experience/design. You must have a demonstrated ability for optimizing developing launching and maintaining largescale production systems. As a key member of the team you will oversee all aspects of the software lifecycle: design experimentation implementation and testing. You should be willing to dive deep when needed move rapidly with a bias for action and get things done. You should have an entrepreneurial spirit love autonomy know how to deliver and long for the opportunity to build pioneering solutions to challenging problems. This role will demand resourcefulness and willingness to learn on both the technical and business side. The challenges we take on can involve a mix of largescale distributed systems big data technologies machine learning science and require a keen sense of customer obsession and longterm strategic thinking.

About you:
Youre a former engineer or scientist who can see the bigger picture. While your career is full of individual wins it is now more fulfilling when your team is able to build deliver and impress. You enjoy leading and mentoring others and want to work on projects that require innovative and creative thinking alongside deep technical problem solving. You challenge yourself and others to constantly come up with better solutions and can deliver on a technical roadmap that serves our customers and the business optimally. You communicate clearly and hold yourself and your team to a high bar.

As an Applied Science Manager you will be responsible for ensuring your team successfully delivers on design development testing experimentation and the operations of algorithms datasets and systems your team owns. You should have an established track record of launching customerfacing experiences deep technical ability and excellent project management and communication skills. This role requires working closely with product management to define strategy and requirements and leading a development team from design through delivery and subsequent operation. This position will also require regular communication with senior management on status risks and strategy.

About our organization:
Amazons Personalization organization is a small highperforming group that leverages Amazons expertise in machine learning big data and distributed systems to deliver the best shopping experiences for our customers. We work endtoend from foundational backend systems to futureforward user interfaces. Our teams culture is centered on rapid prototyping rigorous experimentation and datadriven decisionmaking. We run hundreds of experiments each year and our work has revolutionized ecommerce with features such as Customers Who Bought Also Bought and Recommended for You. We care deeply about our customers as well as the wellbeing and growth of our team members. Amazons internal surveys regularly recognize us as one of the best engineering organizations to work for in the company with visible highimpact work low operational load respectful worklife balance and continual opportunity to learn and grow. This is a track record we are proud of and will continue to uphold. We are looking for creative and innovative leaders with a similar penchant for deeplytechnical problem solving and the ability to lead mentor and deliver while upholding Amazons leadership principles.

Masters degree
Knowledge of ML NLP Information Retrieval and Analytics
Experience directly managing scientists or machine learning engineers
Experience programming in Java C Python or related language
Experience in building machine learning models for business application
Experience in applied research

Experience building machine learning models or developing algorithms for business application
Experience building complex software systems especially involving deep learning machine learning and computer vision that have been successfully delivered to customers

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 to know more about how we collect use and transfer the personal data of our candidates.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit
for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.


Required Experience:

Manager

Employment Type

Full-Time

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