The Robotics Operations Data Solutions team is looking for an experienced Applied Science Manager to lead a team of Scientists, BIEs, and Data Engineers. In this role you will have the opportunity to define multi-year science strategies to support a wide range of problems in Delivery Operations, Supply Chain, and Manufacturing. You will lead the production strategy and execution for a wide range of models (statistical models, computer vision, GenAI) for Global Robotics Delivery in a fast-paced operations environment. This people leader will own machine learning operations and deployment frameworks. In additional to production model deployment, you will support the instrumentation and monitoring of models deployed to production through A/B test design and validation methods. The ideal candidate leans into analytics for supply chain and manufacturing problems to demonstrate customer obsession, and can develop optimization and forecasting expertise across the Global Robotics Delivery portfolio. As a leader you will methodically expand the team's domain expertise over a wide range of science areas. The ideal candidate will be skilled at building scalable self-service analytics and science infrastructure and can lead a team to managing a suite of production science solutions, including managing infrastructure as code and developing machine learning operations that insist on the highest standards. The right candidate will have experience building teams and growing individuals.
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 Applied Science Manager (ASM) will lead a cross functional team of data roles to investigate and develop strategies and concepts to frame a solution set and enable detailed scientific solution design. You bring strong problem-solving capabilities to isolate, define, resolve complex problems, and implement effective production ready solutions. The right candidate for this ASM role must be technically competent, strong in AI system design, and build cross-functional support within the organization and with customers. A successful ASM candidate will be able to assess a business problem, define baseline metrics, and support an iterative scientific solution paths that balance delivering results for operations customers, while maintaining focus on long-run science roadmaps.
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
- Influencing full-stack application design with SDE partner teams to ensure science models and analytics can be integrated into production software services
- Managing multiple projects simultaneously
- Working with data leaders, technology teams and product managers to develop new tools and systems to support a growing number of services
- Communicating with and supporting various internal stakeholders and external audiences
A 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.
About the team
The Robotics Operations Data Solutions (RODS) team supports the mission of the Quality, Technology, and Strategy (QTS) organization within Global Robotics Delivery (GRD) by providing the data infrastructure, advanced analytics, and scientific modeling needed for Robotics Manufacturing Technical Operations (RMTO), Robotics Supply Chain (RSC), and other customer teams in Fulfillment Technologies & Robotics (FTR) to make efficient, cost-optimized, data-driven decisions. We are a cross-functional team of Business Intelligence Engineers, Data Engineers, and Data Scientists with skills that span the complete data lifecycle.
