Senior Data Scientist, R2L Analytics
Job Description
Revolutionize logistics through groundbreaking data science at Amazon! We're 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. You'll 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 efficiencyA day in the lifeAs a Data Scientist in our R2L team, you'll 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 teamWe are a dynamic collective of data enthusiasts dedicated to optimizing Amazon's 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.
Locations
- United States, WA, Bellevue, Bellevue, WA, United States
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
180,000 - 280,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- - 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experienceintermediate
- - 5+ years of data scientist experienceintermediate
- - Experience with statistical models e.g. multinomial logistic regressionintermediate
- - Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Bachelor's degree and 8+ years of professional or military experienceintermediate
Required Qualifications
- - 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 (experience, 5 years)
- - 5+ years of data scientist experience (experience, 5 years)
- - Experience with statistical models e.g. multinomial logistic regression (experience)
- - Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Bachelor's degree and 8+ years of professional or military experience (experience, 8 years)
- - Strong background in data extraction, analysis, and communication (experience)
- - Expertise in AWS tools and AI-focused technologies (experience)
Preferred Qualifications
- - 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience (experience, 2 years)
- - Experience as a leader and mentor on a data science team (experience)
- - Experience designing, building and managing data pipelines (experience)
- - Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue) (experience)
- - Experience working with scientists, economists, software developers, or product managers (experience)
- - Experience working with data engineers and business intelligence engineers collaboratively (experience)
- Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site. (experience)
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
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Senior Data Scientist, R2L Analytics
Job Description
Revolutionize logistics through groundbreaking data science at Amazon! We're 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. You'll 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 efficiencyA day in the lifeAs a Data Scientist in our R2L team, you'll 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 teamWe are a dynamic collective of data enthusiasts dedicated to optimizing Amazon's 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.
Locations
- United States, WA, Bellevue, Bellevue, WA, United States
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
180,000 - 280,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- - 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experienceintermediate
- - 5+ years of data scientist experienceintermediate
- - Experience with statistical models e.g. multinomial logistic regressionintermediate
- - Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Bachelor's degree and 8+ years of professional or military experienceintermediate
Required Qualifications
- - 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 (experience, 5 years)
- - 5+ years of data scientist experience (experience, 5 years)
- - Experience with statistical models e.g. multinomial logistic regression (experience)
- - Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Bachelor's degree and 8+ years of professional or military experience (experience, 8 years)
- - Strong background in data extraction, analysis, and communication (experience)
- - Expertise in AWS tools and AI-focused technologies (experience)
Preferred Qualifications
- - 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience (experience, 2 years)
- - Experience as a leader and mentor on a data science team (experience)
- - Experience designing, building and managing data pipelines (experience)
- - Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue) (experience)
- - Experience working with scientists, economists, software developers, or product managers (experience)
- - Experience working with data engineers and business intelligence engineers collaboratively (experience)
- Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site. (experience)
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