Applied Scientist, MENA Region

hace 13 horas

Barcelona, Barcelona, España Amazon A tiempo completo

### Job Title: Applied Scientist, Mena Stores

### Job Summary:

We are seeking a talented and ambitious Applied Scientist to join our team in the MENA region. As an Applied Scientist, you will have the opportunity to apply cutting-edge machine learning solutions to real-world problems, expand your scientific knowledge, and make meaningful contributions to the team.

### Key Responsibilities:

* Develop and deploy machine learning models to drive business objectives
* Collaborate with cross-functional teams to identify high-impact areas for innovation
* Proactively seek out business opportunities and insights, and provide solutions to automate and optimize key business processes and policies
* Establish scalable, efficient, and automated processes for large-scale data analysis, model development, validation, and deployment

### About the Team:

The MENA Science team works closely with the business and engineering teams to build ML solutions that create an impact for MENA businesses. This is a great opportunity to leverage your machine learning and data mining skills to create a direct impact on consumers and end users.

### Qualifications:

* Master's degree in a quantitative field such as computer science, mathematics, statistics, machine learning, or an equivalent quantitative field
* Experience with coding in Python or any relevant scripting language
* Ability to apply off-the-shelf algorithms to well-defined problems, and eagerness to learn new techniques

### Preferred Qualifications:

* Experience in applying machine learning solutions to real-world problem statements
* Basic understanding of any one of the following: large language models, NLP (Information retrieval, Machine Translation), Computer Vision, Classification models using Boosting/Bagging or Deep Neural Networks

### What We Offer:

Amazon is committed to a diverse and inclusive workplace. We are an equal opportunity employer and do not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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