Senior Applied Scientist, EU Ops Concessions

Amazon; 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 developing advanced analytics models, including machine learning and computer vision, to enhance customer experiences. You will collaborate with diverse stakeholders to tackle operational challenges and drive significant business improvements. This is a unique opportunity to leverage your expertise in a dynamic environment, influencing key decisions and shaping the future of operations. If you're passionate about using data to make impactful changes, this position is perfect for you.

Qualifications

• PhD in relevant fields required, with strong programming skills.
• Experience in machine learning and computer vision techniques.

Responsibilities

• Develop algorithms to identify operational defects using analytics.
• Collaborate with stakeholders to design models addressing business challenges.

Skills

Machine Learning

Data Analysis

Programming in Java

Programming in C++

Programming in Python

Computer Vision

Neural Deep Learning

Research Skills

Program Management

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.

The ideal candidate will be a high potential, strategic and analytic graduate with a PhD in Operations Research, Statistics, Engineering, or 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 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

1. PhD
2. Experience programming in Java, C++, Python or related language
3. Experience with neural deep learning methods and machine learning
4. Experience in building machine learning models for business application
5. Experience in Computer Vision modelling and techniques

PREFERRED QUALIFICATIONS

1. Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
2. 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.