Applied Scientist II MENA Tech Job Vacancy in UAE Dubai
Posted date [2024-07-22]
(ID: 31270)
At Amazon, your career will grow in new and exciting directions—designed by you. You’ll have the opportunity to be part of innovative projects, lead initiatives, and take ownership and responsibility.
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Are you interested in building the next-generation services that will redefine shopping in Middle East? We are disrupting the local shopping experience and looking for talented applied scientist to design and build a new product, ground-up.
We are looking for applied scientist with 5+ years of solid experience in solving complex problems using machine learning and science. As a applied scientist, you will provide machine learning expertise that helps accelerate the business. You will build various data and machine learning models that help us innovate different ways to enhance customer experience. You will need to be entrepreneurial, wear many hats, and work in a highly collaborative environment. We like to move fast, experiment, iterate and then scale quickly, thoughtfully balancing speed and quality. There will be additional complexity which will come to tune ML models as per local language compatible, considering multiple language support on our websites. Other programs in our pipelines are related to abuse detection happening on websites related to payments, inventory hold and rejections by fraud customers. Your role will require you to demonstrate Think Big and Invent and Simplify, as we believe to build solutions which are reusable across markets and scalable as data grows. The models will help these markets to improve profitability and customer retention rates with improved deliveries
Key job responsibilities
- Leverage knowledge of statistics and optimization to frame decision-making problems for MENA region
- Build statistical models required to measure the impact of each system and platform
- Predict future customer behavior and business conditions through machine learning and predictive modeling
- Use analytical and predictive techniques to build models for optimizing and target specific products
- Translate prototype models to production quality, large scale software systems
- Present proposals and results in a clear manner backed by data and coupled with actionable conclusions
We are looking for applied scientist with 5+ years of solid experience in solving complex problems using machine learning and science. As a applied scientist, you will provide machine learning expertise that helps accelerate the business. You will build various data and machine learning models that help us innovate different ways to enhance customer experience. You will need to be entrepreneurial, wear many hats, and work in a highly collaborative environment. We like to move fast, experiment, iterate and then scale quickly, thoughtfully balancing speed and quality. There will be additional complexity which will come to tune ML models as per local language compatible, considering multiple language support on our websites. Other programs in our pipelines are related to abuse detection happening on websites related to payments, inventory hold and rejections by fraud customers. Your role will require you to demonstrate Think Big and Invent and Simplify, as we believe to build solutions which are reusable across markets and scalable as data grows. The models will help these markets to improve profitability and customer retention rates with improved deliveries
Key job responsibilities
- Leverage knowledge of statistics and optimization to frame decision-making problems for MENA region
- Build statistical models required to measure the impact of each system and platform
- Predict future customer behavior and business conditions through machine learning and predictive modeling
- Use analytical and predictive techniques to build models for optimizing and target specific products
- Translate prototype models to production quality, large scale software systems
- Present proposals and results in a clear manner backed by data and coupled with actionable conclusions
