Manager Research Science, Last Mile Science and Analytics
Bengaluru, Karnataka, IND
INR 750K-2000K (estimate) Mid-level Full Time
Tasks
- Architect and deploy AI systems for logistics decision making
- Build data driven business cases to influence change across the organization
- Build time series forecasting algorithms for demand prediction and resource allocation
- Create performance metrics and root cause analyses
- Design distributed computing solutions for large logistics datasets
- Develop cost savings estimates using network models
- Develop machine learning models for logistics optimization
- Develop reinforcement learning for adaptive scheduling
- Develop scalable software systems for logistics optimization
- Develop tools and systems with technology teams and product managers
- Implement deep learning for image recognition in package sorting
- Implement scheduling solutions and scalable processes
- Manage multiple high-impact projects
- Publish research findings in top-tier conferences and journals
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | C# | C++ | Cloud Computing | Data Mining | Deep learning | Distributed Computing | Geospatial analysis | Image Recognition | Java | Machine Learning | Operations Research | Optimization | Perl | Python | Reinforcement Learning | Scheduling | Series analysis | Series forecasting | Simulation | Statistical modeling | Time Series | Time Series Analysis | Time Series Forecasting
Education
Roles
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