Senior Applied Scientist, EU Ops Concessions

Amazon.co.uk Limited; London; On-site; GBP 60,000 - 100,000; Full time

Job summary

An established industry player is seeking a Senior Applied Scientist to join their EU Ops Concessions team. This role focuses on leveraging advanced analytics and machine learning to enhance customer experiences and drive operational improvements. As a key contributor, you will develop innovative algorithms and collaborate with diverse stakeholders to address complex business challenges. This position offers a unique opportunity to influence significant operational changes and shape the future of analytics within a leading organization. If you are passionate about data-driven solutions and thrive in a dynamic environment, this could be the perfect role for you.

Qualifications

• PhD in a relevant field with programming experience in Java, C++, or Python.
• Strong background in machine learning and computer vision techniques.

Responsibilities

• Develop innovative algorithms to identify operational defects using advanced analytics.
• Engage with stakeholders to design effective models for business challenges.

Skills

Machine Learning

Computer Vision

Programming (Java, C++, Python)

Data Analysis

Research Skills

Education

PhD in Operations Research

PhD in Statistics

PhD in Engineering

PhD in Supply Chain

Tools

R

scikit-learn

Spark MLLib

MxNet

Tensorflow

numpy

scipy

Hadoop

Spark

Job description

Senior Applied Scientist, EU Ops Concessions

Job ID: 2931825 | Amazon UK Services Ltd.

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 Scientist 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:

1. Develop innovative algorithms to identify operational defects using advanced analytics techniques
2. Engage with cross-disciplinary stakeholders to conceive and design effective models to address business challenges
3. 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.