Description In the Worldwide Returns, ReCommerce & Sustainability (WW RR&S;) group at Amazon, we are dedicated to 'making zero happen' - zero cost of returns, zero waste, and zero defects - to benefit our customers, company, and environment. We are an agile and inclusive organization that constantly innovates to create long-term value by investing in our people and our planet, not simply focusing on the bottom line. WW R&R; includes business, product, operations, data, and software engineering teams, who together manage the lifecycle of returned and damaged products. In WW R&R;, you will partner across these teams to help customers discover great deals on quality used, rentals, and open box items; get the most value out of Amazon's products; improve the customer returns experience; and reduce defects, waste, and cost in reverse logistics processes. You will be a leader, a builder, and an owner, collaborating cross-functionally with technical, operations, and business teams to design scalable and automated solutions to customer problems. Amazon is Earth's most customer-centric company and in WW R&R;, the Earth is our customer too. Come join us and innovate with the Amazon Worldwide Returns, ReCommerce & Sustainability team! We are hiring an experienced Catalog Specialist to help us grow our business in cutting-edge ways. In this role, you will work closely with our product, technology and science teams to support new Machine Learning (ML) models and data science classification algorithm development - all helping to delight our customers through new experiences throughout their Amazon shopping journey.



Key job responsibilities - Work closely with our product, technology, and science teams to support Machine Learning (ML) models - Perform data annotation required to train and evaluate ML models effectively - Support data scientists in the development of classification algorithms - Collaborate with cross-functional teams to ensure data annotation tasks align with project objectives and timelines - Maintain high-quality standards for annotated data to optimize model performance - Continuously evaluate and improve annotation processes to enhance efficiency and accuracy - Strong analytical skills and the ability to deep-dive on complex problems - Ability to manage multiple simultaneous projects requiring frequent communication, organization/time management and problem-solving skills Need candidates in language proficiency in: German - C1 certified and pursuing C2 Basic Qualifications - Bachelor's degree or equivalent - C1 German Certification from approved institutes and pursuing C2 certification Preferred Qualifications - 2+ years of project management experience - 2+ years of Data Analytics or annotations experience 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.

📌 Catalog Specialist II - German , WWRR Science Annotation Team (Hyderabad)
🏢 Amazon
📍 Hyderabad