• Fashion & Fitness Data Science, Engineering…

    Amazon (New York, NY)


    Description

    At Amazon, we're committed to pioneering new frontiers in customer experience, and Fashion Tech is at the forefront of this mission. Our programs and technologies are revolutionizing how customers interact with fashion products, presenting unique challenges and opportunities for quantifying their economic impact. We're seeking a experienced Data Scientist with expertise in forecasting, anomaly detection, and segmentation modeling to support our efforts to understand customer behavior in this dynamic space.

     

    Over the years, teams across Amazon have built systems that can measure customer behavior and even optimize what is shown to customers based on relevant metrics. However, understanding the most important metrics and enabling leaders to look around corners with forecasting and anomaly detection continue to be challenges that require tying the business context with the most relevant methodology from an array of possible ones. The person in this role will work with F2 Scientists, Analysts, the Central Science and Insights Team, and Finance to define the right metrics and methodologies to build models to guide programs and features, while leveraging existing frameworks wherever applicable. We want to answer questions like “What is driving this customer behavior?” and “What are signs that customer behavior is likely to change in the near future?”.

    Basic Qualifications

    - 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

     

    - Experience applying theoretical models in an applied environment

    Preferred Qualifications

    - Experience in Python, Perl, or another scripting language

     

    - Experience in a ML or data scientist role with a large technology company

     

    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 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.

     

    Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $125,500/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.