Senior Applied Scientist, EU Ops Concessions at Amazon

Feedinkoo: Remote Jobs; United Kingdom; Remote; GBP 90,000 - 140,000; Full time

Job summary

Amazon UK Services Ltd. in the EU Ops Concessions team seeks a Snr. Applied Scientist with a strong ML background to develop advanced analytics models (CV, LLMs) improving customer experiences and reducing negative impacts on operations.

The role blends leadership with deep technical work: you will collaborate with stakeholders across the business to design, implement and scale analytics that drive tangible improvements in Amazon's operations and customer outcomes.

Qualifications

• PhD required in Operations Research, Statistics, Engineering, or Supply Chain.
• 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.

Responsibilities

• Develop innovative algorithms to identify operational defects using advanced analytics techniques.
• Engage with cross-disciplinary stakeholders to conceive and design effective models to address business challenges.
• Communicate with various internal stakeholders and external audiences.

Skills

PhD

Programming in Java/C++/Python

Deep learning / ML

ML model development

Computer Vision

Education

PhD in OR/Statistics/Engineering/Supply Chain

Tools

R

scikit-learn

Spark MLlib

MxNet

TensorFlow

NumPy

SciPy

Hadoop

Spark

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 Amazon’s 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 Amazon’s 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 cross-disciplinary stakeholders to conceive and design effective models to address business challenges
• Communicate with various internal stakeholders and external audiences

Basic Qualifications

• 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

Preferred Qualifications

• Experience with modeling tools such as R, scikit-learn, 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/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Company – Amazon UK Services Ltd.

Job ID: A2931825