Senior Data Scientist, R2L Analytics
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Job Location:
Bellevue, WA - USA
Yearly Salary:
$ 143300 - 247600
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Revolutionize logistics through groundbreaking data science at Amazon! Were seeking an innovative problem-solver who will transform complex global logistics challenges using advanced analytics and artificial intelligence. Your work will directly impact how millions of packages move worldwide leveraging cutting-edge machine learning Large Language Models (LLMs) and predictive technologies to optimize our intricate delivery networks.
Our team empowers data-driven decision-making by developing sophisticated analytical solutions that bridge operational insights with strategic vision. Youll have the opportunity to design scalable models implement advanced AI technologies and create transformative recommendations that reshape logistics efficiency at a global scale.
Key job responsibilities
Build sophisticated machine learning models and production pipelines to analyze complex logistics data
Develop advanced AI solutions using Python AWS tools and emerging technologies like Large Language Models
Synthesize information from diverse data sources to generate meaningful actionable business insights
Collaborate with cross-functional teams to translate complex technical findings into strategic recommendations
Design and implement optimization strategies that enhance network performance and operational efficiency
A day in the life
As a Data Scientist in our R2L team youll immerse yourself in intricate data ecosystems uncovering hidden patterns and opportunities that can revolutionize package delivery. Your daily work will involve exploring massive datasets developing innovative analytical approaches building production pipelines and transforming raw information into strategic intelligence.
About the team
We are a dynamic collective of data enthusiasts dedicated to optimizing Amazons logistics infrastructure. Our team operates at the intersection of technology operations and strategic innovation working collaboratively to create more intelligent responsive and efficient delivery systems.
- 5 years of data querying languages (e.g. SQL) scripting languages (e.g. Python) or statistical/mathematical software (e.g. R SAS Matlab etc.) experience
- 5 years of data scientist experience
- Experience with statistical models e.g. multinomial logistic regression
- Masters degree in a quantitative field such as statistics mathematics data science business analytics economics finance engineering or computer science or Bachelors degree and 8 years of professional or military experience
- Strong background in data extraction analysis and communication
- Expertise in AWS tools and AI-focused technologies
- 2 years of data visualization using AWS QuickSight Tableau R Shiny etc. experience
- Experience as a leader and mentor on a data science team
- Experience designing building and managing data pipelines
- Knowledge of AWS tech stack (e.g. AWS Redshift S3 EC2 Glue)
- Experience working with scientists economists software developers or product managers
- Experience working with data engineers and business intelligence engineers collaboratively
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 $143300/year in our lowest geographic market up to $247600/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.
Our team empowers data-driven decision-making by developing sophisticated analytical solutions that bridge operational insights with strategic vision. Youll have the opportunity to design scalable models implement advanced AI technologies and create transformative recommendations that reshape logistics efficiency at a global scale.
Key job responsibilities
Build sophisticated machine learning models and production pipelines to analyze complex logistics data
Develop advanced AI solutions using Python AWS tools and emerging technologies like Large Language Models
Synthesize information from diverse data sources to generate meaningful actionable business insights
Collaborate with cross-functional teams to translate complex technical findings into strategic recommendations
Design and implement optimization strategies that enhance network performance and operational efficiency
A day in the life
As a Data Scientist in our R2L team youll immerse yourself in intricate data ecosystems uncovering hidden patterns and opportunities that can revolutionize package delivery. Your daily work will involve exploring massive datasets developing innovative analytical approaches building production pipelines and transforming raw information into strategic intelligence.
About the team
We are a dynamic collective of data enthusiasts dedicated to optimizing Amazons logistics infrastructure. Our team operates at the intersection of technology operations and strategic innovation working collaboratively to create more intelligent responsive and efficient delivery systems.
- 5 years of data querying languages (e.g. SQL) scripting languages (e.g. Python) or statistical/mathematical software (e.g. R SAS Matlab etc.) experience
- 5 years of data scientist experience
- Experience with statistical models e.g. multinomial logistic regression
- Masters degree in a quantitative field such as statistics mathematics data science business analytics economics finance engineering or computer science or Bachelors degree and 8 years of professional or military experience
- Strong background in data extraction analysis and communication
- Expertise in AWS tools and AI-focused technologies
- 2 years of data visualization using AWS QuickSight Tableau R Shiny etc. experience
- Experience as a leader and mentor on a data science team
- Experience designing building and managing data pipelines
- Knowledge of AWS tech stack (e.g. AWS Redshift S3 EC2 Glue)
- Experience working with scientists economists software developers or product managers
- Experience working with data engineers and business intelligence engineers collaboratively
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 $143300/year in our lowest geographic market up to $247600/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:
Senior IC
Key Skills
- Laboratory Experience
- Mammalian Cell Culture
- Biochemistry
- Assays
- Protein Purification
- Research Experience
- Next Generation Sequencing
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Flow Cytometry
About Company
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