Applied Scientist, Demand Forecasting, SCOT

Are you looking for an environment where you can drive innovation, apply state-of-the-art machine learning techniques, and tackle real-world problems at massive scale? Do you want to shape the future of Amazon’s Retail business by designing and deploying deep learning models for time series forecasting? If so, join the Amazon Demand Forecasting Science team! As part of this dynamic team, you will create and implement novel neural network architectures to develop the next generation of foundation time series models, directly influencing how Amazon operates at a global scale.




Key job responsibilities
Design new deep learning algorithms and creative approaches to push time series forecasting performance beyond the current state-of-the-art.

Work cross-functionally with product managers, software engineers, and scientists to build end-to-end solutions that are deployed at scale in Amazon’s production systems.

Engage with the broader scientific community at Amazon and beyond - collaborate with academic researchers, contribute to publications, and present your work at leading conferences (e.g., NeurIPS).


A day in the life
You will deep dive into massive Amazon time series datasets, leveraging Python and PySpark to conduct exploratory data analysis. You will prep the data pipeline - writing Python code to train, evaluate, and debug the latest deep learning models. You will design novel neural network architectures, brainstorming with fellow scientists and engineers on ways to push the boundaries of foundation time series modeling. You may explore and benchmark open-source solutions, identifying opportunities to enhance Amazon’s forecasting capabilities. You will document your discoveries and prepare them for internal knowledge-sharing sessions or external conferences, ensuring that your innovations help shape the future of demand forecasting - both within Amazon and the broader research community.

About the team
We are responsible for accurately predicting sales for millions of products worldwide. Our work reduces costs, drives lower prices, and improves selection for customers - all while leveraging unprecedented volumes of data that only Amazon can offer. - 2+ years of deep learning, computer vision, human robotic interaction, algorithms implementation experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming or scripting language like Python, Java, C or C++
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing- Experience using Unix/Linux
- Experience in professional software development

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, 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 $136,000/year in our lowest geographic market up to $223,400/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.