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Data Scientist, Technology Development

2 months ago


Edinburgh, Edinburgh, United Kingdom Amazon Full time
About the Role

We are seeking a highly skilled Data Scientist to join our team at Amazon Ads. As a Data Scientist, you will play a key role in developing and implementing machine learning models that drive business outcomes and improve customer experiences.

Key Responsibilities
  1. Design and Develop Machine Learning Models: Design, prototype, and test various machine learning models to solve complex business problems and improve advertising outcomes.
  2. Collaborate with Cross-Functional Teams: Work closely with software engineering teams to integrate machine learning models into large-scale production systems and ensure seamless deployment.
  3. Drive Innovation and Experimentation: Promote a culture of experimentation and applied science within Amazon Ads, driving innovation and improvement in advertising solutions.
  4. Communicate Effectively: Develop and maintain strong communication and presentation skills to effectively work with multiple peer groups and different levels of management.
  5. Lead and Influence: Influence and continuously improve a sustainable team culture that exemplifies Amazon's leadership principles, driving a culture of innovation and excellence.
Requirements
  • Programming Experience: Experience programming in Java, C++, Python, or related languages.
  • Machine Learning Experience: Experience with neural deep learning methods and machine learning, including building machine learning models for business applications.
  • Research Experience: Experience in applied research, including conducting research in a corporate setting.
  • Education: Master's degree or PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics, or equivalent quantitative field.
Preferred Qualifications
  • Modeling Tools: Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, etc.
  • Distributed Systems: Experience with large-scale distributed systems such as Hadoop, Spark, etc.
  • Managed ML/AI Solutions: Experience using managed ML/AI solutions.

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 to know more about how we collect, use, and transfer the personal data of our candidates.