Research Science Manager, Last Mile Science and Analytics
BengaluruFull-timePosted 2d ago
About the role
Lead and manage research science initiatives to optimize Amazon's Last Mile delivery network through data-driven modeling, advanced analytics, and AI/ML solutions. Drive cross-functional collaboration, develop scalable tools and processes, and influence strategic decisions to improve delivery speed, cost, and customer experience.
Responsibilities
- Address business challenges through building compelling cases and using data to influence change across the organization
- Develop input and assumptions based on preexisting models to estimate costs and savings opportunities associated with varying levels of network growth and operations
- Create metrics to measure business performance, identify root causes and trends, and prescribe action plans
- Manage multiple high-impact projects simultaneously
- Work with technology teams and product managers to develop new tools and systems supporting business growth
- 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
Qualifications
- 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
Skills
Required:Machine Learning / AI model developmentTime series forecastingDistributed computing / big dataPython / Java / C++Stakeholder communicationProject / program management
Last updated Oct 25, 2026. Interested? Apply on the company site.
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