Data Scientist, Rapid & Rural Logistics (R2L)
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Job Location:
Bellevue, WA - USA
Monthly Salary:
Not Disclosed
Posted on:
5 days ago
Vacancies:
1 Vacancy
Job Summary
The R2L team is responsible for building the next generation supply chain for Amazons world-class ultra-fast customer experiences including Amazon Fresh groceries Sub-Same Day Amazon Now and other soon-to-launch exciting new businesses. Join us and youll be taking part in serving our customers in as fast as 30 minutes!
We are looking for a Data Scientist to join our team and solve some of the most complex business problems!
Key job responsibilities
- Work with product managers engineers other scientists and leadership to identify and prioritize complex problems.
- Interview stakeholders to gather business requirements and translate business problems into data science or analytical problems
- Design develop and evaluate highly innovative statistics and ML models
- Guide and establish scalable efficient automated processes for large scale data analyses model development model validation and model implementation
- Proactively seek to identify business opportunities and insights and provide solutions to shape key business processes and policies based on a broad and deep knowledge of Amazon data industry best-practices and work done by other teams.
A day in the life
In this role you will be a technical expert with significant scope and impact. You will work with Product and Supply Chain Managers Business Intelligence Engineers System Developers and other Scientists to develop models that solve a wide range of complex and ambiguous business problems with the main goal to improve customer experience improve availability of products and reduce supply chain cost. A successful Data Scientist will have bias for action needed in a startup environment with great leadership skills proven ability to build and manage medium-scale modeling projects identify data requirements build methodology and tools that are statistically grounded. It will be a person who enjoys diving deep into data doing analysis discovering root causes and designing long-term scientific solutions. We are seeking someone who can thrive in a fast-paced high-energy and fun work environment where we deliver value incrementally and frequently. We look for individuals who know how to deliver results and show a desire to develop themselves their colleagues and their career.
About the team
The R2L team is responsible for building the next generation supply chain for Amazons world-class ultra-fast customer experiences including Amazon Fresh groceries Sub-Same Day Amazon Now and other soon-to-launch exciting new businesses. Join us and youll be taking part in serving our customers in as fast as 30 minutes!
- Masters degree in engineering technology computer science machine learning robotics operations research statistics mathematics or equivalent quantitative field
- 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
- Masters degree in Operations Research Statistics Applied Mathematics Engineering Computer Science or related field or PhD and 5 years of data scientist or similar role involving data extraction analysis statistical modeling and communication experience
- Experience as a data engineer or related specialty (e.g. software engineer business intelligence engineer data scientist) with a track record of manipulating processing and extracting value from large datasets
- Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders
- Experience working in a fast-paced team environment
- - Ability to dive deep into complex technical problems and drive change.
- Excellent problem solving skills with a strong attention to detail.
- Ph.D. in Science Technology Engineering or Mathematics (STEM)
- Knowledge of statistical packages and business intelligence tools such as SPSS SAS S-PLUS or R
- Knowledge of machine learning concepts and their application to reasoning and problem-solving
- Experience with clustered data processing (e.g. Hadoop Spark Map-reduce and Hive)
- Experience working with or evaluating AI systems
- Experience applying quantitative analysis to solve business problems and making data-driven business decisions
- Experience effectively communicating complex concepts through written and verbal communication
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.
We are looking for a Data Scientist to join our team and solve some of the most complex business problems!
Key job responsibilities
- Work with product managers engineers other scientists and leadership to identify and prioritize complex problems.
- Interview stakeholders to gather business requirements and translate business problems into data science or analytical problems
- Design develop and evaluate highly innovative statistics and ML models
- Guide and establish scalable efficient automated processes for large scale data analyses model development model validation and model implementation
- Proactively seek to identify business opportunities and insights and provide solutions to shape key business processes and policies based on a broad and deep knowledge of Amazon data industry best-practices and work done by other teams.
A day in the life
In this role you will be a technical expert with significant scope and impact. You will work with Product and Supply Chain Managers Business Intelligence Engineers System Developers and other Scientists to develop models that solve a wide range of complex and ambiguous business problems with the main goal to improve customer experience improve availability of products and reduce supply chain cost. A successful Data Scientist will have bias for action needed in a startup environment with great leadership skills proven ability to build and manage medium-scale modeling projects identify data requirements build methodology and tools that are statistically grounded. It will be a person who enjoys diving deep into data doing analysis discovering root causes and designing long-term scientific solutions. We are seeking someone who can thrive in a fast-paced high-energy and fun work environment where we deliver value incrementally and frequently. We look for individuals who know how to deliver results and show a desire to develop themselves their colleagues and their career.
About the team
The R2L team is responsible for building the next generation supply chain for Amazons world-class ultra-fast customer experiences including Amazon Fresh groceries Sub-Same Day Amazon Now and other soon-to-launch exciting new businesses. Join us and youll be taking part in serving our customers in as fast as 30 minutes!
- Masters degree in engineering technology computer science machine learning robotics operations research statistics mathematics or equivalent quantitative field
- 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
- Masters degree in Operations Research Statistics Applied Mathematics Engineering Computer Science or related field or PhD and 5 years of data scientist or similar role involving data extraction analysis statistical modeling and communication experience
- Experience as a data engineer or related specialty (e.g. software engineer business intelligence engineer data scientist) with a track record of manipulating processing and extracting value from large datasets
- Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders
- Experience working in a fast-paced team environment
- - Ability to dive deep into complex technical problems and drive change.
- Excellent problem solving skills with a strong attention to detail.
- Ph.D. in Science Technology Engineering or Mathematics (STEM)
- Knowledge of statistical packages and business intelligence tools such as SPSS SAS S-PLUS or R
- Knowledge of machine learning concepts and their application to reasoning and problem-solving
- Experience with clustered data processing (e.g. Hadoop Spark Map-reduce and Hive)
- Experience working with or evaluating AI systems
- Experience applying quantitative analysis to solve business problems and making data-driven business decisions
- Experience effectively communicating complex concepts through written and verbal communication
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.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at NY New York - 119200.00 - 178400.00 USD annually
USA WA Bellevue - 108300.00 - 160000.00 USD annually
Required Experience:
IC
Key Skills
- Shipping & Receiving
- Inventory Control
- Data Entry
- AS400
- Transportation Management Systems
- EDI
- Microsoft Outlook
- Warehouse Experience
- Office Experience
- Dispatching
- Microsoft Excel
- Logistics
About Company
Free shipping on millions of items. Get the best of Shopping and Entertainment with Prime. Enjoy low prices and great deals on the largest selection of everyday essentials and other products, including fashion, home, beauty, electronics, Alexa Devices, sporting goods, toys, automotive ... View more
