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Applied Scientist II, Intl Seller Growth @ Amazon

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Amazon  Applied Scientist II, Intl Seller Growth

Job Description


At Amazon, we strive to be Earths 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 Amazons 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 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. 3+ years of building models for business application experience
PhD, or Masters 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 Experience using Unix/Linux
Experience in professional software development

Job Classification

Industry: Internet
Functional Area / Department: Engineering - Software & QA
Role Category: Quality Assurance and Testing
Role: Blockchain Quality Assurance Engineer
Employement Type: Full time

Contact Details:

Company: Amazon
Location(s): Hyderabad

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Keyskills:   Unix C++ Data analysis Linux Machine learning Data structures Natural language processing high performance computing Data mining Python

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