Principal Applied Scientist Last Mile Science and Analytics
Principal Applied Scientist Last Mile Science and Analytics
Posted on :
15-03-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 179000 - 309400
Vacancy
1 Vacancy
Posted on :
15-03-2025
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 ontime delivery in a costeffective manner.
We are seeking an enthusiastic customerobsessed Principal Applied 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 Applied 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 highimpact 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 datadriven decision making
Strong analytical and problemsolving skills
Robust program management and research science skills
Ability to work with a team and make independent decisions in ambiguous environments
Customerobsessed mindset with a focus on improving the Amazon delivery experience
This role offers the autonomy to think strategically and make datadriven decisions from day one. Join us in shaping the future of ecommerce delivery and addressing the core challenges in our worldclass 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 AIpowered systems to enhance decisionmaking 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. AIDriven Workflow Optimization:
Design and implement AI agents for autonomous decisionmaking 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 toptier conferences and journals
About the team
We are Amazons Last Mile Science and Analytics team dedicated to improving ecommerce 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 customercentric 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 toptier peerreviewed conferences or journals.
Strong prior experience with mentorship and/or management of senior scientists and engineers.
Thinks strategically but stays on top of tactical .
Exhibits excellent business judgment; balances business product and technology very well.
Effective verbal and written communication skills with nontechnical and technical audiences.
Experience working with realworld data sets and building scalable models from big data.
Experience with modeling tools such as R scikitlearn Spark MLLib MxNet Tensorflow numpy scipy etc.
Experience with large scale distributed systems such as Hadoop Spark etc.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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 $179000/year in our lowest geographic market up to $309400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 customerobsessed Principal Applied 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 Applied 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 highimpact 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 datadriven decision making
Strong analytical and problemsolving skills
Robust program management and research science skills
Ability to work with a team and make independent decisions in ambiguous environments
Customerobsessed mindset with a focus on improving the Amazon delivery experience
This role offers the autonomy to think strategically and make datadriven decisions from day one. Join us in shaping the future of ecommerce delivery and addressing the core challenges in our worldclass 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 AIpowered systems to enhance decisionmaking 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. AIDriven Workflow Optimization:
Design and implement AI agents for autonomous decisionmaking 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 toptier conferences and journals
About the team
We are Amazons Last Mile Science and Analytics team dedicated to improving ecommerce 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 customercentric 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 toptier peerreviewed conferences or journals.
Strong prior experience with mentorship and/or management of senior scientists and engineers.
Thinks strategically but stays on top of tactical .
Exhibits excellent business judgment; balances business product and technology very well.
Effective verbal and written communication skills with nontechnical and technical audiences.
Experience working with realworld data sets and building scalable models from big data.
Experience with modeling tools such as R scikitlearn Spark MLLib MxNet Tensorflow numpy scipy etc.
Experience with large scale distributed systems such as Hadoop Spark etc.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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 $179000/year in our lowest geographic market up to $309400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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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