Data Scientist
6 days ago
About the Role
We are seeking a highly skilled Data Scientist to join our Personalization team in Edinburgh. As a Data Scientist, you will be responsible for developing and disseminating customer-facing personalized recommendation models.
This is a hands-on role with global impact working with a team of world-class engineers and scientists across Edinburgh offices and wider organization. You will lead the design of machine learning models that scale to very large quantities of data, serving high-scale low-latency recommendations to all customers worldwide.
You will embody scientific rigor, designing and executing experiments to demonstrate technical efficacy and business value of your methods. You will work alongside science team to delight customers by aiding in recommendations relevancy, and raise the profile of Amazon as a global leader in machine learning and personalization.
Successful candidates will have strong technical ability, focus on customers by applying customer-first approach, excellent teamwork and communication skills, and motivation to achieve results in fast-paced environment. Our position offers exceptional opportunities for every candidate to grow their technical and non-technical skills.
Key Responsibilities
- Develop machine learning algorithms for high-scale recommendations problems.
- Rapidly design, prototype and test many possible hypotheses in high-ambiguity environment, making use of both quantitative analysis and business judgement.
- Collaborate with software engineers to integrate successful experimental results into large-scale, highly complex production systems capable of handling 100,000s of transactions per second at low latency.
- Report results in manner which is both statistically rigorous and compellingly relevant, exemplifying good scientific practice in business environment.
Salary
$120,000 - $180,000 per annum, depending on experience.
Requirements
- PhD, or Master's degree and experience in CS, CE, ML or related field.
- Experience in patents or publications at top-tier peer-reviewed conferences or journals.
- Experience programming in Java, C++, Python or related language.
- Experience in any of following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.
- Experience in building machine learning models for business application.
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