Zappos Data Scientist Ii, Zappos/shopbop Catalog Engineering

Amazon Amazon · Big Tech · Madison, WI · Data Science

Data Scientist II on the Shopbop/Zappos Catalog Tech team responsible for designing and implementing ML approaches to improve catalog data quality, automate data capture and classification, and develop image classification systems. The role involves partnering with engineering teams, influencing product decisions with data-driven insights, and leveraging ML technologies in an e-commerce context. The day-to-day includes reviewing model performance, developing new approaches using LLMs, advising on model architecture, and analyzing A/B test results.

What you'd actually do

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

Skills

Required

  • 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
  • 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

Nice to have

  • 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

What the JD emphasized

  • state-of-the-art image classification systems
  • computer vision
  • NLP
  • advanced ML models
  • recent advances in LLMs
  • model architecture
  • GenAI model performance

Other signals

  • design and implement scientific approaches to revolutionize how we manage and enhance our product catalog data
  • creating innovative solutions and influencing product decisions through data-driven insights
  • lead critical initiatives to reduce catalog errors, accelerate product data capture, and develop state-of-the-art image classification systems for fashion features
  • partner daily with engineering teams and business stakeholders to provide expert guidance on model selection and implementation
  • leverage machine learning technologies and have access to industry leaders in AI/ML and E-Commerce to help grow your expertise
  • 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)
  • think big about how data science can transform our catalog operations and be persistent in delivering robust, scalable solutions