Senior Research Science Manager, Last Mile Science and Analytics

Amazon Inc.; Bengaluru; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

Amazon's Last Mile Science and Analytics team in Bengaluru seeks a Senior Research Science Manager to lead ML modeling and AI-driven optimization of the delivery network. You will build models, forecast demand, and develop scalable tools with cross-functional teams.

You will manage high-impact projects, mentor researchers, and collaborate with product and tech partners to improve customer delivery experiences.

Qualifications

• 10+ years building ML models or algorithms for business applications.
• PhD in a quantitative field, or Master's with 10+ years of research experience.
• Proficiency in C/C++, Python, Java or Perl.
• Experience designing/deploying state-of-the-art deep learning models and training/optimization/model pruning.

Responsibilities

• Design and implement ML models for logistics optimization (advanced modeling).
• Develop time series forecasting for demand prediction and resource allocation.
• Architect and deploy AI-powered systems to enhance logistics decision-making.
• Develop RL algorithms for adaptive scheduling and resource management.
• Design AI agents for autonomous decision-making in logistics processes.
• Publish research findings in top-tier conferences and journals.

Skills

ML model development

Deep learning

Data analysis

Team leadership

Education

PhD in quantitative field

Master's with 10+ years research

Tools

C/C++

Python

Java

Perl

TensorFlow

PyTorch

scikit-learn

Spark

MxNet

Hadoop

Job description

Senior Research Science Manager, Last Mile Science and Analytics

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

Looking for minds with:

• - Extensive experience in operations research and data-driven decision making
• - Strong analytical and problem-solving skills
• - Robust program management and research science skills
• - Ability to work with a team and make independent decisions in ambiguous environments
• - Customer-obsessed mindset with a focus on improving the Amazon delivery experience

This role offers the autonomy to think strategically and make data-driven decisions from day one. Join us in shaping the future of e-commerce delivery and addressing the core challenges in our world-class operations space!

Key job responsibilities

1. Advanced Modeling and Algorithm Development:

Design and implement sophisticated machine learning models for logistics optimization

Develop complex time series forecasting algorithms for demand prediction and resource allocation

2. AI and Machine Learning Integration:

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

3. Big Data Analytics and Processing:

Design and implement distributed computing solutions for processing massive logistics datasets

Utilize cloud computing platforms (e.g., AWS) for scalable data processing and analysis

4. AI-Driven Workflow Optimization:

Design and implement AI agents for autonomous decision-making in logistics processes

Create machine learning models for customer behavior analysis and personalized delivery options

5. Software Development and System Architecture:

Write efficient, scalable code in languages such as Python, Java, or C++

Develop and maintain complex software systems for logistics optimization

Stay at the forefront of AI and ML research

Publish research findings in top-tier conferences and journals

About the team

We are Amazon's Last Mile Science and Analytics team, dedicated to improving e-commerce delivery. We work to optimize our vast network, forecast demand using machine learning, and enhance route efficiency. Our efforts focus on developing innovative delivery methods, applying AI to solve complex problems, and conducting geospatial analysis. We create simulations to refine processes and plan capacity effectively. Operating globally, we strive to develop adaptable solutions for diverse markets. We aim to advance logistics science, continually improving speed, efficiency, and customer satisfaction, in support of Amazon's mission to be Earth's most customer-centric company.

Basic 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

Preferred Qualifications

• - 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 with 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

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.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.