Zappos Data Scientist III, Zappos​/Shopbop Catalog Engineering

Zappos Family of Companies |

Zappos Family of Companies | Posted Mar 2

Full-time

New York

Advanced (5-10 yrs)

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 senior leadership 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, while collaborating with data science teams across  and  You will push the boundaries of applied machine learning, bringing innovative solutions to customers with computer vision, NLP, and advanced ML models, and persistently deliver scalable solutions.

• 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.

You start the day reviewing model performance metrics, noting drift in the image classification system that needs investigation. In the morning you develop 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.

Zappos/Shopbop Catalog Tech team owns the software that drives our photostudio, product cataloging, and integration to Amazon’s marketplace. We use Amazon’s Leadership Principles and engineering expertise but have our own fun vibe. The team is located in Madison WI and Las Vegas NV.

• 5+ years of experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical/mathematical software (e.g., R, SAS, Matlab).
• 4+ years of experience as a data scientist.
• Experience with statistical models such as multinomial logistic regression.
• Bachelor’s degree.

• 2+ years of experience with data visualization using AWS Quick Sight, Tableau, R Shiny, or similar.
• Experience managing data pipelines.
• Experience as a leader and mentor on a data science team.

Amazon is an equal‑opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers employees 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, please visit (Use the "Apply for this Job" box below). for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave.

USA, NY, New York -  -  USD annually

USA, WI, Madison -  -  USD annually

Company:  LLC

Job : A3124684