Senior Research Science Manager, Last Mile Science and Analytics

Teknik, data och digitalt · Data, AI och analys · Datavetenskap · Maskininlärning · Mjukvaruutveckling

I korthet

Amazon is seeking a Senior Research Science Manager for its Last Mile Science and Analytics team in Bengaluru, India. This role involves optimizing the delivery network through advanced machine learning models, data-driven decision-making, and program management. The ideal candidate will have extensive experience in operations research, ML, and building scalable systems.

Ansvarsområden

Address business challenges through data and influence organizational change.
Develop models to estimate costs and savings for network growth and operations.
Create metrics to measure business performance, identify root causes, and prescribe action plans.
Manage multiple high-impact projects simultaneously.
Collaborate with technology teams and product managers to develop new tools and systems.
Communicate with and support various internal stakeholders and external audiences.
Implement scheduling solutions, improve metrics, and develop scalable processes and tools.
Design and implement sophisticated machine learning models for logistics optimization.
Develop complex time series forecasting algorithms for demand prediction and resource allocation.
Architect and deploy AI-powered systems to enhance decision-making in logistics operations.
Implement deep learning techniques for image recognition in package sorting and handling.
Develop reinforcement learning algorithms for adaptive scheduling and resource management.
Design and implement distributed computing solutions for processing massive logistics datasets.
Utilize cloud computing platforms (e.g., AWS) for scalable data processing and analysis.
Design and implement AI agents for autonomous decision-making in logistics processes.
Create machine learning models for customer behavior analysis and personalized delivery options.
Write efficient, scalable code in languages such as Python, Java, or C++.
Develop and maintain complex software systems for logistics optimization.
Publish research findings in top-tier conferences and journals.

Krav

10+ years of building machine learning models or developing algorithms for business application experience.
PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or Master's degree and 10+ years of industry or academic research experience.
Knowledge of programming languages such as C/C++, Python, Java or Perl.
Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning.
Knowledge of deep learning, machine learning and statistics.
4+ years of scripting, programming, or security code review in a common language, such as Python, Java or C++ experience.
Knowledge of mathematical/statistical/physics fundamentals.
Experience in patents or publications at top-tier peer-reviewed conferences or journals.
Experience leading and managing a team (external or internal as required).
5+ years of data science, business analytics, business intelligence, or similar experience in big data environments experience.
Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
Experience with large scale distributed systems such as Hadoop, Spark etc.

Önskade kvalifikationer

PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field.
Experience in successful technology product work from ideation through launch.
Experience in science or engineering team management.
Experience shaping business strategy for technical products or services for large enterprises or partners.
Experience in written and verbal communication skills to communicate with technical and non-technical audiences, including senior leadership.
PhD or equivalent research experience, or PhD and 12+ years of applied research experience.

Förmåner

The autonomy to think strategically and make data-driven decisions from day one.
Opportunity to shape the future of e-commerce delivery.
Address core challenges in a world-class operations space.

Färdigheter

Machine LearningData ScienceOperations ResearchDeep LearningPythonJavaC++StatisticsMathematicsAWSSparkRscikit-learnTensorflowProgram Management

#Research Science#Analytics#Last Mile

Om Amazon

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Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one.\n\nTogether, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers:…

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