Data Scientist I, Demand Forecasting

Amazon has the worlds most complex supply chain: we fulfill global demand for hundreds of millions of products at lightning fast delivery speeds. We need your skills to optimize our supply chain with the end goal of delighting our customers. A core part of the supply chain operations is Demand Forecasting: We forecast the demand of tens of millions of products. These forecasts are used to make many decisions such as automatically order hundreds of millions worth of inventory decide where to place that inventory and establish labor plans for hundreds of warehouses.

The Product Data Science team within Forecasting & Labs (part of Supply Chain Optimization Technologies) is looking for an analytical and technically skilled Data Scientist to join our team. Our team is responsible for bias correction model development and A/B testing for forecast improvements GenAI/LLM research for forecast explainability and deep analytics for Labs and Foundation Models. We work horizontally across the forecasting product portfolioincluding National Regional Grocery SSD Inbound and CIV forecastingto embed advanced analytics and machine learning solutions where they create the most value.

This position will be responsible for developing and supporting data science methodologies and building models to address ambiguous forecasting questions. The Data Scientist will design and analyze experiments (A/B tests) to measure the impact of forecast model changes develop bias correction models to improve forecast accuracy and contribute to GenAI/LLM-based approaches for forecast explainability and interpretability. The role also involves supporting the Labs experimentation platform which designs and executes inference and experimentation systems that measure the impact of initiatives across SCOT.

The Data Scientist needs to be familiar with deriving causal inferences using observational and experimental data and able to model variations related to demand prediction out of stock seasonality and different lead times and spans.

This role requires an individual with excellent analytical abilities as well as business acumen. The successful candidate will be a self-starter comfortable with ambiguity with attention to detail vocally self-critical and an ability to work in a fast-paced and ever-changing environment. They recognize that the true measure of the success of the work product is based on the business impact the findings have had.
The Demand Forecasting Team is looking for an analytical and technically skilled Data Scientist to join our team. This position will be responsible for developing and supporting best-in-class data science methodologies and building models to address ambiguous forecasting questions. The Data Scientist needs to be familiar with deriving causal inferences using observational data and able to model variations related with demand prediction out of stock seasonality and different lead times and spans. Upon completion of statistical analysis the Data Scientist needs to communicate measurement results to stakeholders by translating technical framework to business-oriented insights.

This role requires an individual with excellent analytical abilities as well as business acumen. The successful candidate will be a self-starter comfortable with ambiguity with attention to detail vocally self-critical an ability to work in a fast-paced and ever-changing environment. They recognize that the true measure of the success of the work product is based on the business impact the findings have had.


Key job responsibilities
- Design and analyze experiments (A/B tests) to measure the impact of forecast model changes and SCOT initiatives drawing causal inferences from both experimental and observational data
- Develop bias correction models to improve forecast accuracy across Amazons demand forecasting systems including National Regional Grocery SSD Inbound and CIV forecasts
- Contribute to GenAI/LLM-based research for forecast explainability and interpretability helping stakeholders understand what drives forecast signals
- Support and enhance the Labs experimentation platform by building scalable inference and measurement solutions that quantify the impact of forecasting improvements
- Work horizontally across the forecasting product portfolio and collaborate with product managers applied scientists and engineering teams to embed analytics and ML solutions where they create the most value
- Use large datasets to build models addressing ambiguous forecasting questions including demand prediction out of stock seasonality and varying lead times and spans
- Interpret data write reports and communicate measurement results to stakeholders by translating technical frameworks into business-oriented insights and actionable recommendations
- Keys to success in this role include exceptional analytics statistics judgment and communication skills. The candidate will need to be able to extract insights from data and clearly communicate appropriate triggers and actions

A day in the life
Amazon offers a full range of benefits that support you and eligible family members including domestic partners and their children. Benefits can vary by location the number of regularly scheduled hours you work length of employment and job status such as seasonal or temporary employment.

The benefits that generally apply to regular full-time employees include:
- Medical Dental and Vision Coverage
- Maternity and Parental Leave Options
- Paid Time Off (PTO)
- 401(k) Plan

If you are not sure that every qualification on the list above describes you exactly wed still love to hear from you!

At Amazon we value people with unique backgrounds experiences and skillsets. If youre passionate about this role and want to make an impact on a global scale please apply!

- 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 data/research scientist statistician or quantitative analyst in an internet-based company with complex and big data sources experience
- Bachelors degree
- Familiarity with large language models (LLMs) or generative AI applications in analytics or explainability

- Knowledge of statistical packages and business intelligence tools such as SPSS SAS S-PLUS or R
- Experience with clustered data processing (e.g. Hadoop Spark Map-reduce and Hive)
- Experience communicating complex ideas to technical and non-technical audiences
- Experience with time series forecasting demand modeling or bias correction techniques

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 for more information. If the country/region youre applying in isnt 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 option for 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. Learn more about our benefits at WA Bellevue - 108300.00 - 160000.00 USD annually