Data Scientist , Reactive Transfers

The Supply Chain Optimization Technologies (SCOT) team builds technology to automate and optimize Amazons supply chain of physical goods. We seek a Data Scientist with strong analytical and communication skills to join our team. SCOT manages Amazons inventory under uncertainty of demand pricing promotions supply vendor lead times and product life cycle. We optimize complex trade-offs between customer experience inventory costs fulfillment costs fulfillment center capacity etc. We develop sophisticated algorithms that involve learning from large amounts of data such as prices promotions similar products and other data from our product catalog in order to automatically act on millions of dollars worth of inventory weekly and establish plans for tens of thousands of employees. As a Data Scientist you will contribute to the research community by working with other scientists across Amazon and our Supply Chain as well as collaborating with academic researchers and publishing papers both internally and externally.


Key job responsibilities
Major responsibilities include:
- Analysis of large amounts of data from different parts of the supply chain and their associated business functions
- Improving upon existing machine learning methodologies by developing new data sources developing and testing model enhancements running computational experiments and fine-tuning model parameters for new models
- Formalizing assumptions about how models are expected to behave creating definitions of outliers developing methods to systematically identify these outliers and explaining why they are reasonable or identifying fixes for them
- Communicating verbally and in writing to business customers with various levels of technical knowledge educating them about our research as well as sharing insights and recommendations
- Utilizing code (Python R Scala etc.) for analyzing data and building statistical and machine learning models and algorithms


A day in the life
As a Data Scientist in SCOT you will be tasked to understand and work with cutting edge research to enable the implementation of sophisticated models on big data. As a successful data scientist in the SCOT team you are an analytical problem solver who enjoys diving into data from various businesses is excited about investigations and algorithms can multi-task and can credibly interface between scientists engineers and business stakeholders. Your expertise in synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication will enable you to answer specific business questions and innovate for the future.


About the team
The Supply Chain Optimization Technologies (SCOT) organization owns Amazons global inventory management systems: we decide what when where and how much we should buy to meet Amazons goals and to make our customers happy. We do this for millions of items for hundreds of product lines worth billions of dollars of inventory world-wide. Our systems are built entirely in-house and are on the cutting edge in automated large-scale inventory and supply chain planning and optimization systems. We foster new game-changing ideas creating ever more intelligent and self-learning systems to maximize the efficiency of Amazons inventory investment and placement decisions.

The Fulfillment Optimization team is focused on using cutting edge science to improve customer outcomes and transform our logistics along with machine learning and scalable distributed software in the cloud that automates and optimizes shipments to customers under the uncertainty of demand pricing and supply. When customers place orders our systems use real time large scale optimization techniques to optimally choose from where to ship and how to consolidate multiple orders so that customers get their shipments on time or faster with the lowest possible transportation costs. One of our core responsibilities is to leverage big data to identify key patterns of success and failure identify the areas we need to focus on first understand root cause(s) that triggered failure and to build predictive models that will help fix the most impactful problems. The amount of data the variables that come into play and diversity of customers and locations make this role very challenging and also fun. Its great for those who love solving problems especially when dealing with a lot of ambiguity and asking lots of smart questions that will lead to the discovery of universal concepts and truly innovative ML solutions that continuously improve the customer delivery experience.

We are seeking an outstanding Data Scientist to join the team. has culture of data-driven decision-making and demands data analysis that is timely accurate and actionable. If you join the SCOT FO your work will have an immediate influence on day-to-day decision making at .
As a Data Scientist you will be working in one of the worlds largest and most complex data warehouse environments. You will work with Product Managers ML Scientists Senior Executives to gather requirements and apply data science methodologies to solve complex business problems. You should have deep expertise in analyzing huge data sets and using complex data sets from multiple domains. You should be expert at designing and implementing solutions that use a range of data science methodologies to automate data analysis or to solve complex business problems. You should be able to work with business customers in a fast paced environment understanding the business requirements and implementing reporting solutions.
This opportunity is perfect for highly motivated and talented data scientists who want to apply and grow their technical depth and breadth while defining and driving key aspects of the customer experience on .

- 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
- 1 years of guiding and coaching a group of researchers experience
- 1 years of working with or evaluating AI systems experience
- 1 years of creating or contributing to mathematical textbooks research papers or educational content experience
- Masters degree in Science Technology Engineering or Mathematics (STEM) or experience working in Science Technology Engineering or Mathematics (STEM)
- Experience applying theoretical models in an applied environment

- Ph.D. in Science Technology Engineering or Mathematics (STEM)
- Knowledge of machine learning concepts and their application to reasoning and problem-solving
- Experience in Python Perl or another scripting language
- Experience in a ML or data scientist role with a large technology company
- Experience in defining and creating benchmarks for assessing GenAI model performance
- Experience working on multi-team cross-disciplinary projects
- Experience applying quantitative analysis to solve business problems and making data-driven business decisions
- Experience effectively communicating complex concepts through written and verbal communication

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 TX Austin - 136000.00 - 184000.00 USD annually