DESCRIPTION

We are seeking a highly talented Senior Applied Scientist to join our MENA Science team and drive the development of state-of-the-art machine learning solutions for our customers in the MENA region.
As a Senior Applied Scientist, you will leverage your expertise in machine learning and data science to create cutting-edge solutions that directly address critical customer problems. Your work will directly impact the customer experience and profitability of our MENA businesses, helping us enhance catalog quality, improve machine translation, prevent abuse and fraud, and more.

Key job responsibilities
• Design, development, evaluation, deployment and updating of data-driven models and analytical solutions for machine learning (ML) and/or natural language (NL) applications.
• Develop and/or apply statistical modeling techniques (e.g. Bayesian models and deep neural networks), optimization methods, and other ML techniques to different applications in business and engineering.
• Invent, implement, and deploy cutting-edge machine learning algorithms and models to solve complex, real-world problems for our MENA customers.
• Collaborate closely with cross-functional teams, including product managers, engineers, and other applied scientists, to identify high-impact areas for innovation.
• Prototype and test new approaches, such as leveraging large language models (LLMs) and other advanced techniques, to drive measurable improvements in key business metrics.
• Stay up-to-date with the latest advancements in machine learning and data science, and proactively identify opportunities to apply these techniques to drive business impact.
• Contribute to the broader scientific community by publishing your work at top-tier conferences and journals.

A day in the life
Diving deep in to ambiguous and complex business problems and translating them to appropriate ML problem statements.
Applying relevant science solutions for the ML problems.
Staying abreast with evolving science landscape and applying the state-of-the-art.
Helping/Mentoring other scientists in the team.
Advocating for principled and scalable solutions and raising the bar for the science team.

About the team
The MENA Science team works closely with the business and engineering teams in building 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.

BASIC QUALIFICATIONS

– PhD, or Master’s degree and 5+ years of building machine learning models for business application experience
– Experience programming in Java, C++, Python or related language
– PhD, or Master’s degree and 5+ years of building machine learning models for business application.
– Experience programming in Java, C++, Python or related language.
– Expertise in one of the applied science disciplines, such as machine learning, natural language processing, computer vision, or deep learning.
– Understanding of basic data structures, algorithms, model evaluation techniques, performance, and optimality trade-offs.
– Contribute to the broader scientific community by publishing your work at top-tier conferences and journals.
– Proficient in any two of these areas: large language models, NLP (Information retrieval, Machine Translation), Computer Vision, Classification models using Boosting/Bagging or Deep Neural Networks.

PREFERRED QUALIFICATIONS

– Familiarity with engineering and scientific method best practices, including design reviews, testing, and code reviews.