Catalog Specialist II German , WWRR Science Annotation Team

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 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 Amazons 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 Earths 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 innovative 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

- Bachelors degree or equivalent
- C1 German Certification from approved institutes and pursuing C2 certification

- 2 years of project management experience
- 2 years of Data Analytics or annotations experience

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