Applied Scientist, Discovery Tech Innovator

hace 3 semanas


Barcelona, Barcelona, España Engineeringuk A tiempo completo

Role Summary

As an Applied Scientist, you will be responsible for creating innovative AI solutions to enhance customer experiences and drive business growth. You will work closely with cross-functional teams to design and develop scalable machine learning models that improve product recommendation and customer engagement.

Key Responsibilities

Design and develop state-of-the-art AI solutions using big data tools and machine learning algorithms to rank customer purchase journeys and ASINs

Collaborate with senior scientists and Amazon Scholars to develop and implement ML content retrieval, classical Bayesian statistics, graph neural networks, contextual bandits, and computer vision solutions

Engage with product and marketing stakeholders to understand business objectives and develop data-driven solutions to meet those objectives

Review and analyze A/B experiment setup, customer problems, hypothesis, method, and impact metrics to ensure business objectives are met

Requirements

  • PhD or Master's degree in Computer Science, Engineering, or related field
  • Experience in patents or publications at top-tier peer-reviewed conferences or journals
  • Experience applying theoretical models in an applied environment
  • Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, or high-performance computing
  • Experience programming in Java, C++, Python, or related languages
  • Ability to deliver under tight deadlines

Preferred Qualifications

  • PhD in Engineering, Technology, Computer Science, Machine Learning, Robotics, Operations Research, Statistics, Mathematics, or equivalent quantitative field
  • Experience in professional software development
  • Experience in solving business problems through machine learning, data mining, and statistical algorithms
  • Experience in designing experiments and statistical analysis of results
  • Experience with popular deep learning frameworks such as MxNet and TensorFlow

About Engineeringuk

We are an equal opportunities employer and 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.



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