Senior Research Science Manager, Last Mile Science and Analytics

Location IN, KA, Bengaluru
Experience 10+ yrs
Job type Full-time
Posted 9 Oct 2026
Qualification PhD / Master's

Apply on Official Website

You will be taken to Amazon’s own careers page to apply. Job ID 10574677.

Job description

Have you ever wondered how that Amazon box with the smile arrives so quickly, where it came from, and how much it cost Amazon to deliver? The WW Amazon Logistics, Business Analytics team manages the delivery of tens of millions of products every week to Amazon's customers, achieving on-time delivery in a cost-effective manner.

We are seeking an enthusiastic, customer-obsessed Research Science Manager(RSM) with strong analytical skills to join our team. This role is crucial in optimizing Amazon's vast delivery network and will have significant impact on the customer experience, particularly in the final phase of delivery.

As a Research Science Manager, you will:

1. Address business challenges through building compelling cases and using data to influence change across the organization 2. Develop input and assumptions based on preexisting models to estimate costs and savings opportunities associated with varying levels of network growth and operations 3. Create metrics to measure business performance, identify root causes and trends, and prescribe action plans 4. Manage multiple high-impact projects simultaneously 5. Work with technology teams and product managers to develop new tools and systems supporting business growth 6. Communicate with and support various internal stakeholders and external audiences 7. Implement scheduling solutions, improve metrics, and develop scalable processes and tools

Requirements

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
PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
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 successful technology product work from ideation through launch
Experience in patents or publications at top-tier peer-reviewed conferences or journals
Experience in science or engineering team management
Experience leading and managing a team (external or internal as required)
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
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.
PhD or equivalent research experience, or PhD and 12+ years of applied research experience

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