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Research Science Manager, Last Mile Science and Analytics
Bengaluru, Karnataka, IND
Actively hiring, first seen by us 1 day ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: full-time
From the employer’s posting
What you’ll work on
Full postingDesign machine learning models for logistics optimization
Build time series forecasts for demand and resource allocation
Estimate costs and savings from varying network growth scenarios
Create metrics to find root causes and set action plans
Manage multiple high-impact projects at the same time
From the employer’s posting
Design and implement sophisticated machine learning models for logistics optimization
Develop complex time series forecasting algorithms for demand prediction and resource allocation
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
What you’ll bring
All qualificationsCore experience
- 10+ years building ML models or business algorithms
- PhD in a quantitative field, or Master's plus 10+ years of research experience
- Programming in C/C++, Python, Java or Perl
- Experience designing deep learning model architectures and training them
Qualification wording
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
Education & alternatives
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 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
Posting record
Report an errorActively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 13, 20261 day ago
- Recorded sightings
- 2
- Last seen by us
- Nov 14, 2026
- Employer says posted
- Oct 9, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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Where the posting names them
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 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
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.
- 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 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 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.
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
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About Amazon
- People
- About 1,207,759 in 2024.Benefit plan filings (Form 5500)
- Company
- Listed as AMZN.
- H-1B visas
- 6,217 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
- Layoff notices
- Notices this year and last cover 2,978 people. The latest was filed November 2, 2026.State WARN notices
Demand for Data Leadership roles
New Data Leadership postings at the employers we follow are about the same over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
US government figures for computer and information systems managers
- Median yearly pay, May 2025
- $175,140
- Expected change, 2025 to 2035
- 15.8% more jobsagainst 3.5% for all jobs
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
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
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
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.
- 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 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
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.
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
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
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 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
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.
Source details
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Bengaluru, Karnataka, IND
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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