Data Scientist Amazon Robotics AR Sortation
Data Scientist Amazon Robotics AR Sortation
Posted on :
08-04-2025
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1 Vacancy
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Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
08-04-2025
Job Description
Are you inspired by invention Is problem solving through teamwork in your DNA Do you like the idea of seeing how your work impacts the bigger picture Answer yes to any of these and youll fit right in here at Amazon Robotics. We are a smart team of doers that work passionately to apply stateoftheart advances in robotics and software to solve realworld challenges that will transform our customers experiences in ways we cant even imagine yet. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding fulfilling and fun.
Our Team
The Amazon Robotics Sortation Analytics team discovers insights in vast and varied robotic data to help our engineering teams understand how their technologies operate across Amazons network of warehouses. We collaborate with designers software and hardware engineers and operations teams to understand product requirements make feature tradeoffs design and operate new applications of Amazon Robotics technology. We conduct relevant insightful analysis and communicate the results through white papers and presentations. Our methods include design of experiments statistical modeling machine learning financial analysis and data visualization.
Key job responsibilities
* Developing predictive models and simulations to analyze complex largescale datasets and uncover insights to improve customer experience cost efficiency capital investment effectiveness and automation utilization.
* Creating compelling data visualizations that communicate endtoend system performance and identify optimization opportunities.
* Establishing robust data analysis frameworks and KPIs to quantify the impact of your solutions and evaluate tradeoffs between potentially contending goals.
* Collaborating crossfunctionally with engineering operations and business stakeholders to understand their needs translate them into datadriven projects and deliver impactful results.
A day in the life
You will collaborate crossfunctionally with engineering teams program managers and leaders throughout the organization to deliver projects aimed at characterizing and improving the performance of new robotic automation technology in Amazons network of warehouses. In this role you will use a combination of unified and disparate data sources to uncover insights delivered through decisiondriving analytics whitepapers and automated data visualizations to influence the development and deployment of highly innovative robotic technology. You will collaborate with Business Intelligence Engineers Data Engineers and Program Managers to define and deliver world class models and insights to shape the robotic technology landscape.
Amazon offers a full range of benefits that support you and eligible family members including domestic partners and their children. Benefits can vary by location the number of regularly scheduled hours you work length of employment and job status such as seasonal or temporary employment. The benefits that generally apply to regular fulltime employees include:
1. Medical Dental and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly wed still love to hear from you! At Amazon we value people with unique backgrounds experiences and skillsets. If youre passionate about this role and want to make an impact on a global scale please apply!
2 years of data scientist or similar role involving data extraction analysis statistical modeling and communication experience
2 years of data querying languages (e.g. SQL Hadoop/Hive) experience
3 years of machine learning/statistical modeling data analysis tools and techniques and parameters that affect their performance experience
Masters degree in a quantitative field or Bachelors degree and 5 years of a quantitative field such as statistics mathematics data science business analytics economics finance engineering or computer science experience
Experience applying theoretical models in an applied environment
Experience in Python Perl or another scripting language
Experience in a ML or data scientist role with a large technology company
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 Team
The Amazon Robotics Sortation Analytics team discovers insights in vast and varied robotic data to help our engineering teams understand how their technologies operate across Amazons network of warehouses. We collaborate with designers software and hardware engineers and operations teams to understand product requirements make feature tradeoffs design and operate new applications of Amazon Robotics technology. We conduct relevant insightful analysis and communicate the results through white papers and presentations. Our methods include design of experiments statistical modeling machine learning financial analysis and data visualization.
Key job responsibilities
* Developing predictive models and simulations to analyze complex largescale datasets and uncover insights to improve customer experience cost efficiency capital investment effectiveness and automation utilization.
* Creating compelling data visualizations that communicate endtoend system performance and identify optimization opportunities.
* Establishing robust data analysis frameworks and KPIs to quantify the impact of your solutions and evaluate tradeoffs between potentially contending goals.
* Collaborating crossfunctionally with engineering operations and business stakeholders to understand their needs translate them into datadriven projects and deliver impactful results.
A day in the life
You will collaborate crossfunctionally with engineering teams program managers and leaders throughout the organization to deliver projects aimed at characterizing and improving the performance of new robotic automation technology in Amazons network of warehouses. In this role you will use a combination of unified and disparate data sources to uncover insights delivered through decisiondriving analytics whitepapers and automated data visualizations to influence the development and deployment of highly innovative robotic technology. You will collaborate with Business Intelligence Engineers Data Engineers and Program Managers to define and deliver world class models and insights to shape the robotic technology landscape.
Amazon offers a full range of benefits that support you and eligible family members including domestic partners and their children. Benefits can vary by location the number of regularly scheduled hours you work length of employment and job status such as seasonal or temporary employment. The benefits that generally apply to regular fulltime employees include:
1. Medical Dental and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly wed still love to hear from you! At Amazon we value people with unique backgrounds experiences and skillsets. If youre passionate about this role and want to make an impact on a global scale please apply!
2 years of data scientist or similar role involving data extraction analysis statistical modeling and communication experience
2 years of data querying languages (e.g. SQL Hadoop/Hive) experience
3 years of machine learning/statistical modeling data analysis tools and techniques and parameters that affect their performance experience
Masters degree in a quantitative field or Bachelors degree and 5 years of a quantitative field such as statistics mathematics data science business analytics economics finance engineering or computer science experience
Experience applying theoretical models in an applied environment
Experience in Python Perl or another scripting language
Experience in a ML or data scientist role with a large technology company
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.
Employment Type
Full-Time
Key Skills
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