Data Scientist

As a Data Scientist on the Shopbop/Zappos Catalog Tech team, you will design and implement scientific approaches to revolutionize how we manage and enhance our product catalog data for our world-class selection of Shoes, Kids, and Active wear. You will work with Zappos' Senior leadership team to solve complex data challenges through advanced analytics and machine learning - creating innovative solutions and influencing product decisions through data-driven insights. You will lead critical initiatives to reduce catalog errors, accelerate product data capture, and develop state-of-the-art image classification systems for fashion features. You will partner daily with engineering teams and business stakeholders to provide expert guidance on model selection and implementation. As a member of the Zappos technical staff, you will leverage machine learning technologies and have access to industry leaders in AI/ML and e-commerce to help grow your expertise. You will also routinely collaborate with data science teams across our sister companies at Amazon.com and Shopbop.com. You will push the boundaries of what's possible with applied machine learning and bring innovative solutions to bear for customers (including computer vision, NLP, and advanced ML models). You will think big about how data science can transform our catalog operations and be persistent in delivering robust, scalable solutions. Key Job Responsibilities

• Design and implement machine learning approaches to improve catalog data quality.
• Develop and validate scientific methodologies for automated data capture and classification.
• Partner with engineering teams to integrate ML models into production systems.
• Create and present analysis that drives decision-making at the senior leadership level.

A Day in the Life

You start the day reviewing model performance metrics, noting some drift in the image classification system that needs investigation. You spend the morning developing a new approach to reduce product attribute errors using recent advances in LLMs. In the afternoon, you meet with engineering teams to advise on model architecture for a new feature, and wrap up by analyzing the results of your latest A/B test on data capture efficiency improvements. About the Team

• 2+ years of experience as a data scientist.
• 3+ years of experience with data querying languages.
• 3+ years of experience with machine learning data analysis.
• 1+ years of experience guiding and coaching researchers.
• Experience in creating/contributing to mathematical textbooks., Data querying languages (e.g., SQL) Scripting languages (e.g., Python) Machine learning/statistical modeling Coaching experience AI systems evaluation Creating educational content

Formação académica

Master's degree in STEM, * 2+ years of data scientist experience.

• 3+ years of data querying languages (e.g., SQL), scripting languages (e.g., Python) or statistical/mathematical software (e.g., R, SAS, Matlab, etc.) experience.
• 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience.
• 1+ years of guiding and coaching a group of researchers experience.
• 1+ years of working with or evaluating AI systems experience.
• 1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience.
• Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM).
• Experience applying theoretical models in an applied environment., * Ph.D. in Science, Technology, Engineering, or Mathematics (STEM).
• Knowledge of machine learning concepts and their application to reasoning and problem-solving.
• Experience in Python, Perl, or another scripting language.
• Experience in a ML or data scientist role with a large technology company.
• Experience in defining and creating benchmarks for assessing GenAI model performance.
• Experience working on multi-team, cross-disciplinary projects.
• Experience applying quantitative analysis to solve business problems and making data-driven business decisions.
• Experience effectively communicating complex concepts through written and verbal communication.

Health insurance 401(k) matching Paid time off Parental leave

Resumo da oferta

Amazon is seeking a Data Scientist for the Shopbop/Zappos Catalog Tech team in Zaragoza, Spain. This role involves designing machine learning approaches to enhance product catalog quality and address complex data challenges. The ideal candidate will have strong experience with data querying and machine learning tools, contributing to innovative solutions and influencing strategic decisions.

Candidates are expected to have a Master's degree in a technical field and relevant experience. Amazon offers a comprehensive benefits package, including health insurance and a competitive salary., * Design and implement machine learning approaches for catalog data.

• Develop scientific methodologies for automated data classification.
• Partner with engineering to integrate ML models into production.
• Create analysis for decision-making at the senior leadership level.