5 ms·

Amazon New Product Demand Forecasting | Seattle | Full-Time | On-Site ($130-$250+ depending on experience) Amazon's New Product Demand Forecasting team is resp

Amazon New Product Demand Forecasting | Seattle | Full-Time | On-Site ($130-$250+ depending on experience) Amazon's New Product Demand Forecasting team is responsible for one of the most challenging problems in supply chain optimization: predicting sales for products that have no sales history. This is a uniquely creative space in Forecasting requiring our machine learning models to capture both the nuances of the global consumer marketplace as well as customer behavior on Amazon. Our team works closely with research scientists to invent new ways to make use of novel data, solve hard engineering problems around scaling and performance in predicting for tens of millions of products, and iterates quickly in order to stay on the cutting edge. We're looking for an experienced, data-science-leaning software developer that is comfortable with big data and can: * Design systems that provide a stable base for innovation in a rapidly changing business * Improve Forecasting algorithms through data-driven analysis and experimentation in our Scala/Spark environment * Optimize for scalability and performance of both distributed computations and near-metal C++ code * Communicate their ideas clearly with all members of a diverse team If this sounds interesting, I'd love to chat or buy you coffee. Email me (Stefan) at smai@ (amazon.com) with your resume and a brief introduction. (Interview process is 1 phone screen and onsite interview with whiteboard coding and behavioral questions about your experience.)

abysmallyideal 10y ago
I have a running bet they offshore or hire in Indian work to replace whoever gets hired for this, and they'll chase the dude out within a year.
- iamnafets 10y ago
  You clearly don't understand the value that engineers in this role are able to create.
  - kafkaesq 10y ago
    As do most companies / hiring managers in favor of (indiscriminate) offshoring. Because foreign workers are, you know, "cheaper".
- inputcoffee 10y ago
  If you could find someone offshore that is smart enough to improve a predictive algorithm by even 0.01%, you should hire them as well. Consider that the holy grail is finding out if customers actually want a product. Break that product down into features, and run a regression. Historically, how well does that do? But these are new products. They have new features. How do you solve that? In a sense this is "the" problem. Anyone who is genuinely additive would be fought over by any company that produces a new product.

abysmallyideal 10y ago

I have a running bet they offshore or hire in Indian work to replace whoever gets hired for this, and they'll chase the dude out within a year.

iamnafets 10y ago
You clearly don't understand the value that engineers in this role are able to create.
- kafkaesq 10y ago
  As do most companies / hiring managers in favor of (indiscriminate) offshoring. Because foreign workers are, you know, "cheaper".
inputcoffee 10y ago
If you could find someone offshore that is smart enough to improve a predictive algorithm by even 0.01%, you should hire them as well. Consider that the holy grail is finding out if customers actually want a product. Break that product down into features, and run a regression. Historically, how well does that do? But these are new products. They have new features. How do you solve that? In a sense this is "the" problem. Anyone who is genuinely additive would be fought over by any company that produces a new product.