At Amazon, we are seeking an Applied Scientist to contribute to the development of next-generation selection and assortment systems. The Specialized Selection team within Supply Chain Optimization Technologies (SCOT) is responsible for determining which products are offered in our fastest delivery programs.
We build tools and systems that enable our partners and business owners to scale themselves by leveraging our expertise in problem domains, allowing them to focus on improving our ML models rather than managing their assortment manually. Our team collaborates closely with business stakeholders to develop state-of-the-art, scalable, automated selection management systems.
The Applied Scientist will work with software engineers, product managers, and business teams to understand business problems and requirements, distill them into clear definitions, and design innovative solutions. We employ a wide array of scientific tools and techniques, including supervised and unsupervised machine learning, non-convex optimization, causal inference, natural language processing, linear programming, reinforcement learning, and other forecast algorithms.
Critical research areas include modeling substitutability between similar products, incorporating basket awareness and complementarity-aware logic, measuring speed sensitivity of products, modeling network capacity constraints, and supply and demand forecasting.
Key Responsibilities
* Be an end-to-end owner for projects, understanding business requirements and existing challenges, and mapping them to the right scientific solution;
* Design effective, scalable, and achievable solutions to key business problems;
* Develop the right set of metrics to evaluate efficacy of your models and solutions;
* Prototype and analyze new models and business logic;
* Productionize scientific solutions, including writing production-quality critical path code;
* Communicate with technical and business audiences throughout each project;
* Publish findings in internal and/or external conferences and interface with the scientific community;
* Mentor and develop the scientist community across the organization.
Minimum Qualifications
* Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field;
* Experience programming in Java, C++, Python or related languages;
* Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse;
* Experience implementing algorithms using both toolkits and self-developed code;
* Publications at top-tier peer-reviewed conferences or journals.
Amazon is committed to a diverse and inclusive workplace. We are an equal opportunity employer and do not discriminate based on race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.