Description
The Robotics Operations Data Solutions team is is looking for an analytical, innovative, hands-on and customer-obsessed Manager of Data Science to lead a team of BIEs, Data Scientists, 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 Operations, Supply Chain. and Manufacturing. You will lead the application and production of 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 forecasts and analytics for supply chain and manufacturing problems, and will develop optimization and forecasting expertise across the Global Robotics Delivery portfolio, and 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 productize ML solutions, including managing infrastructure as code and developing MLOps. 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 organizational strategy, and develop and lead execution strategy for scientific solutions. You will define a path of research and execution.
This Data Science Manager (DSM) will lead a cross functional team of BIEs, DSs, and DEs 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 solutions. The right candidate for this DSM role must be technically competent and build cross-functional support within the organizations, and with customers. A successful DSM 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 able to understand how to deploy science models into service based application frameworks and seeks opportunities to embed science models in to new and existing products.
Key job responsibilities
Develop input and assumptions based preexisting models to estimate the costs and savings opportunities associated with varying levels of network growth and operations
Creating metrics to measure business performance, identify root causes and trends, and prescribe action plans
Managing multiple projects simultaneously
Working with technology teams and product managers to develop new tools and systems to support the growth of the business
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.
Basic Qualifications
5+ years of building quantitative solutions as a scientist or science manager experience
2+ years of scientists or machine learning engineers management experience
5+ years of applying statistical models for large-scale application and building automated analytical systems experience
Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field
Knowledge of Python or R or other scripting language
Preferred Qualifications
Experience in a least one area of Machine Learning (NLP, Regression, Classification, Clustering, or Anomaly Detection)
Experience with fairness in machine learning and artificial intelligence to detect and remove bias in ML/AI systems
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 $142,300/year in our lowest geographic market up to $272,400/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.
