Data Scientist I, SCOT Long-Term Planning

Amazon’s Long-Term Planning organization is looking for a Data Scientist to help invent the next generation of Amazon's Capacity and Constraint Management system - Automated Planning System (APS). APS will herald a a new era in Sales and Operations Planning (S&OP). APS emerges as a next-generation decision-making framework for Amazon's Worldwide (WW) fulfillment networks. In an industry first, APS seamlessly aligns Amazon's business controls by uniting leading-edge supply and demand forecasts with a state-of-the-art coordination framework – respecting the distributed ownership of business logic and outcomes. As the centralized planning system, APS takes charge of coordinating all fulfillment, inventory, and operational decisions, maximizing WW Long Term Free Cash Flow (LTFCF) over a 1-year horizon

The Long-Term Planning team is part of the Supply Chain Optimization Technology (SCOT) Team within the Operations Organization. The charter of the SCOT team is to maximize Amazon’s return on our inventory investment in terms of Free Cash Flow and customer satisfaction.

As a Data Scientist on the this team, you will build a deep understanding of Amazon's supply chain systems, lead innovation in our forecasting capabilities and build principled solutions to identify improvement opportunities in our supply chain using the latest machine learning techniques. You will also work with a team of Scientists, Product Managers, Business Intelligence Engineers and Software Engineers to research and build accurate predictive models and deploy automated software solutions to provide insights to business leaders at the most senior levels throughout the company. You will build models that make our data more actionable and help us make complex business decisions at scale.

To help describe some of our challenges, we created a short video about Supply Chain Optimization at Amazon - http://bit.ly/amazon-scot


Key job responsibilities
- Implement statistical and machine learning methods to solve complex business problems
- Research new ways to improve predictive and explanatory models
- Directly contribute to the design and development of automated prediction systems and ML infrastructure
- Build models that can detect supply chain defects and explain variance to the optimal state
- Collaborate with other researchers, software developers, and business leaders to define the scientific roadmap for this team

Basic Qualifications

- 1+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 2+ years of data/research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources experience

Preferred Qualifications

- 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)

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 $97,500/year in our lowest geographic market up to $185,000/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.