Amazon Applied Science Manager Robotics Operations Data Solutions 

United States, Washington, Seattle 

133295896

In this role you will work in an ambiguous environment where you have the opportunity to influence and contribute to organizational strategy and own execution strategy for scientific solutions. You will define the path of research and execution in partnership with your peers.This candidate is expected to understand science methodologies for a wide range of data types; text, images, and numerical. You will bring enough subject matter expertise to ensure that data collected as part of supply chain, manufacturing, fulfillment center (FC) deployment, and FC operations is properly captured, structured, and stored. You are able to communicate all steps of the scientific process to the technical team and to the business stakeholders. A successful candidate understands challenges in the manufacturing and supply chain for all relevant robotics products, and can intuitively map the challenges to data driven solutions. In this role you will contribute to complex High-Level-Designs spanning Manufacturing and Supply Chain teams, and have the technical knowledge to provide feedback on Low-Level-Designs. You will apply knowledge from other disciplines and create solutions to proactively improve operations yield, detect supplier quality issues, calibrate test equipment, and detect anomalies at sub-assembly level. You will tackle intrinsically hard problems with minimal support, write effectively, document the approach, assumptions, and accuracy of the proposed models. An effective candidate is an expert in deploying science models into service based application frameworks and seeks opportunities to embed science models in to new and existing products.Key job responsibilities
- Maturing end-to-end machine learning operations and model deployment framework; from data pipelines to light weight front-ends such as Streamlit- Managing multiple projects simultaneously- Communicating with and supporting various internal stakeholders and external audiencesA day in the life
You will spend your days collaborating with developers, customers, stakeholders, and converting the business needs into a data-driven solution. You will support a team to design and execute science products. You will dive deep into the data and balance technical execution with longer term strategy. You will grow and develop junior scientists.

- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- 3+ years of scientists or machine learning engineers management experience
- 5+ years of building machine learning models or developing algorithms for business application experience
- Knowledge of ML, NLP, Information Retrieval and Analytics
- Experience hiring and growing top talent
- Experience programming in Java, C++, Python or related language
- Experience in applied research