drjobs Senior Applied Scientist EU Ops Concessions

Senior Applied Scientist EU Ops Concessions

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1 Vacancy
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Job Location drjobs

London - UK

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

The EU Ops Concessions team is looking for a motivated creative and customer obsessed Snr. Applied Scientist with a strong machine learning background to develop advanced analytics models (Computer Vision LLMs etc. that improve customer experiences.

We are the voice of the customer in Amazons operations and we take that role very seriously. If you join this team you will be a key contributor to delivering the Factory of the Future: Leveraging Internet of Things (IoT) and advanced analytics to drive tangible operational change on the ground. This role will combine Amazons oldest Leadership Principle with the latest analytical innovations to deliver real impact

Every position at Amazon offers the opportunity for employees to influence business decisions and shape the future but as a Snr. Applied Scientists you will be at the vanguard of developing analytics that drive business change at scale and efficiently. You will collaborate with a wide range of stakeholders across the business to develop and refine new ways of understanding business challenges within operations. This is your opportunity to have a big impact on some of the most exciting new ideas that are shaping the future of Amazon.

Key job responsibilities
You will work with Operations stakeholders to develop models and analysis to drive down the negative impact of operations on Amazon customers experiences.

Ideal candidate will be a high potential strategic and analytic graduate with a PhD in (Operations Research Statistics Engineering and Supply Chain) ready for challenging opportunities in the core of our world class operations space. Great candidates have a history of research and the ability to use data and research to make changes.

This role requires robust program management skills and research science skills in order to act on research outcomes. This individual will need to be able to work with a team but also be comfortable making decisions independently in what is often times an ambiguous environment.

Your role will be to:
Develop innovative algorithms to identify operational defects using advanced analytics techniques
Engage with crossdisciplinary stakeholders to conceive and design effective models to address business challenges
Communicate with various internal stakeholders and external audiences

PhD
Experience programming in Java C Python or related language
Experience with neural deep learning methods and machine learning
Experience in building machine learning models for business application
Experience in Computer Vision modelling and techniques

Experience with modeling tools such as R scikitlearn Spark MLLib MxNet Tensorflow numpy scipy etc.
Experience with large scale distributed systems such as Hadoop Spark etc.

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/privacypage 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
https://amazon.jobs/content/en/howwehire/accommodations for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.


Required Experience:

Senior IC

Employment Type

Full-Time

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