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Applied Scientist II, Intl Seller Growth

Amazon

Riyadh

On-site

SAR 337,000 - 450,000

Full time

Today
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Job summary

A global e-commerce giant located in Riyadh is seeking an Applied Scientist II to leverage Natural Language Processing (NLP) and machine learning for international seller services. Candidates should have a strong background in computer science with 3+ years of experience building models for business applications. The role entails designing scalable solutions, conducting data analysis, and mentoring a team. A PhD or relevant Master's degree is preferred, along with programming skills in Java, C++, or Python.

Qualifications

  • 3+ years of building models for business applications.
  • Experience with top-tier peer-reviewed patents or publications.
  • Experience in programming.

Responsibilities

  • Design and implement scalable machine learning solutions for language challenges.
  • Collaborate with teams to define project requirements.
  • Conduct data analysis for insights and recommendations.
  • Explore state-of-the-art NLP techniques.
  • Communicate technical concepts to stakeholders.
  • Mentor the team of Applied Scientists.
  • Contribute to research and publications.

Skills

Natural Language Processing (NLP)
Machine Learning
Data Analysis
Algorithms and Data Structures
Programming in Java, C++, Python

Education

PhD in Computer Science, Computer Engineering, Machine Learning or related field
Master's degree with 4+ years experience

Tools

Unix/Linux
Job description
Applied Scientist II, Intl Seller Growth

Job ID: 3142156 | ASSPL - Andhra Pradesh

Are you fascinated by the power of Natural Language Processing (NLP) and Large Language Models (LLM) to transform the way we interact with technology? Are you passionate about applying advanced machine learning techniques to solve complex challenges in the e-commerce space? If so, Amazon's International Seller Services team has an exciting opportunity for you as an Applied Scientist.

At Amazon, we strive to be Earth's most customer-centric company, where customers can find and discover anything they want to buy online. Our International Seller Services team plays a pivotal role in expanding the reach of our marketplace to sellers worldwide, ensuring customers have access to a vast selection of products.

As an Applied Scientist, you will join a talented and collaborative team that is dedicated to driving innovation and delivering exceptional experiences for our customers and sellers. You will be part of a global team that is focused on acquiring new merchants from around the world to sell on Amazon’s global marketplaces around the world.

Join us at the Central Science Team of Amazon's International Seller Services and become part of a global team that is redefining the future of e-commerce. With access to vast amounts of data, technology, and a diverse community of talented individuals, you will have the opportunity to make a meaningful impact on the way sellers engage with our platform and customers worldwide. Together, we will drive innovation, solve complex problems, and shape the future of e-commerce.

Please visit https://www.amazon.science for more information

Key job responsibilities
  • Apply your expertise in LLM models to design, develop, and implement scalable machine learning solutions that address complex language-related challenges in the international seller services domain.
  • Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to define project requirements, establish success metrics, and deliver high-quality solutions.
  • Conduct thorough data analysis to gain insights, identify patterns, and drive actionable recommendations that enhance seller performance and customer experiences across various international marketplaces.
  • Continuously explore and evaluate state-of-the-art NLP techniques and methodologies to improve the accuracy and efficiency of language-related systems.
  • Communicate complex technical concepts effectively to both technical and non-technical stakeholders, providing clear explanations and guidance on proposed solutions and their potential impact.
  • Mentor and guide team of Applied Scientists from technical and project advancement stand point
  • Contribute research to science community and conference quality level papers.
Basic Qualifications
  • 3+ years of building models for business application experience
  • PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
  • 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 the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Preferred Qualifications
  • Experience using Unix/Linux
  • Experience in professional software development

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Posted: December 19, 2025 (Updated 26 days ago)

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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