Senior Applied Scientist, EU Ops Concessions

ENGINEERINGUK; London; On-site; GBP 125,000 - 150,000; Full time

Job summary

An established industry player is seeking a Senior Applied Scientist to join their EU Ops Concessions team. In this pivotal role, you'll leverage your strong machine learning and computer vision expertise to develop advanced analytics models that enhance customer experiences. Collaborating with diverse stakeholders, you'll create innovative algorithms to tackle operational challenges and drive impactful business changes. This position offers a unique opportunity to influence the future of operations through cutting-edge technology and analytics. If you're passionate about using data to make a difference, this is the role for you!

Qualifications

• Strong machine learning background with experience in algorithms and analytics.
• PhD required with expertise in programming and advanced analytics techniques.

Responsibilities

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

Skills

Machine Learning

Computer Vision

Programming in Java

Programming in C++

Programming in Python

Neural Deep Learning

Building Machine Learning Models

Education

PhD

Tools

R

scikit-learn

Spark MLLib

MxNet

TensorFlow

NumPy

SciPy

Hadoop

Spark

Job description

Senior Applied Scientist, EU Ops Concessions

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 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.

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. 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 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.