Principal Research Scientist, Last Mile Science and Analytics
Principal Research Scientist, Last Mile Science and Analytics
Posted on :
22-06-2025
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1 Vacancy
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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 Amazons customers achieving on-time delivery in a cost-effective manner.
We are seeking an enthusiastic customer-obsessed Principal Research Scientist with strong analytical skills to join our team. This role is crucial in optimizing Amazons vast delivery network and will have significant impact on the customer experience particularly in the final phase of delivery.
As a Principal Research Scientist 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
The ideal candidate will have:
- PhD in Operations Research Statistics Engineering or Supply Chain Management
- 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
5. 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
6. 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 Amazons 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 Amazons mission to be Earths 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 Masters degree and 10 years of industry or academic research experience
- Knowledge of programming languages such as C/C Python Java or Perl
- Experience with neural deep learning methods and machine learning
- PhD in engineering technology computer science machine learning robotics operations research statistics mathematics or equivalent quantitative field
- 15 years of relevant broad research experience after PhD degree or equivalent.
- Deep expertise in Machine Learning
- Proficiency in programming for algorithm and code reviews.
- Strong core competency in mathematics and statistics.
- Track record of successful projects in algorithm design and product development.
- Publications at top-tier peer-reviewed conferences or journals.
- Strong prior experience with mentorship and/or management of senior scientists and engineers.
- Thinks strategically but stays on top of tactical execution.
- Exhibits excellent business judgment; balances business product and technology very well.
- Effective verbal and written communication skills with non-technical and technical audiences.
- Experience working with real-world data sets and building scalable models from big data.
- 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.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $170500/year in our lowest geographic market up to $294700/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
We are seeking an enthusiastic customer-obsessed Principal Research Scientist with strong analytical skills to join our team. This role is crucial in optimizing Amazons vast delivery network and will have significant impact on the customer experience particularly in the final phase of delivery.
As a Principal Research Scientist 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
The ideal candidate will have:
- PhD in Operations Research Statistics Engineering or Supply Chain Management
- 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
5. 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
6. 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 Amazons 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 Amazons mission to be Earths 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 Masters degree and 10 years of industry or academic research experience
- Knowledge of programming languages such as C/C Python Java or Perl
- Experience with neural deep learning methods and machine learning
- PhD in engineering technology computer science machine learning robotics operations research statistics mathematics or equivalent quantitative field
- 15 years of relevant broad research experience after PhD degree or equivalent.
- Deep expertise in Machine Learning
- Proficiency in programming for algorithm and code reviews.
- Strong core competency in mathematics and statistics.
- Track record of successful projects in algorithm design and product development.
- Publications at top-tier peer-reviewed conferences or journals.
- Strong prior experience with mentorship and/or management of senior scientists and engineers.
- Thinks strategically but stays on top of tactical execution.
- Exhibits excellent business judgment; balances business product and technology very well.
- Effective verbal and written communication skills with non-technical and technical audiences.
- Experience working with real-world data sets and building scalable models from big data.
- 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.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $170500/year in our lowest geographic market up to $294700/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Required Experience:
Staff IC
Employment Type
Full-Time
Key Skills
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