Data Scientist Amazon Robotics AR
Data Scientist Amazon Robotics AR
Posted on :
09-04-2025
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1 Vacancy
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Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
09-04-2025
Job Description
Working at Amazon Robotics
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 collaborative team of doers that work passionately to apply cuttingedge 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.
Position Overview
The Amazon Robotics (AR) Simulation organization builds simulation models and conduct simulation experiments to support a broad range of robotic solutions. We use the simulationfirst approach to inform critical engineering and business decisions for the AR systems.
Were looking for an experienced selfdirected senior Data Scientist with a strong background in coding statistical and data mining techniques. You should have excellent problemsolving skills strong communication skills the ability to work autonomously and an enthusiasm for leveraging data to drive meaningful business outcomes.
Key job responsibilities
As a Data Scientist on the team you will play a crucial role in driving datapowered decision making. Your main focus will be
* Collecting creating and manipulating large complex datasets to produce validated simulation inputs
* Designing simulation experiments by considering the optimization targets variable spaces and computational cost
* Querying simulation outputs generating metrics and establishing robust data analysis frameworks to quantify the impact of the solutions
* Creating compelling data visualizations to communicate system performance and identify improvement areas
* Producing reports that suggests tradeoffs and informs decisions
* Staying up to date with the best data tools to automate data workflows
* Collaborating crossfunctionally with software developers domain experts scientists and business stakeholders to understand the business goals translate them into datadrive projects and deliver impactful results.
A day in the life
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.
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 collaborative team of doers that work passionately to apply cuttingedge 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.
Position Overview
The Amazon Robotics (AR) Simulation organization builds simulation models and conduct simulation experiments to support a broad range of robotic solutions. We use the simulationfirst approach to inform critical engineering and business decisions for the AR systems.
Were looking for an experienced selfdirected senior Data Scientist with a strong background in coding statistical and data mining techniques. You should have excellent problemsolving skills strong communication skills the ability to work autonomously and an enthusiasm for leveraging data to drive meaningful business outcomes.
Key job responsibilities
As a Data Scientist on the team you will play a crucial role in driving datapowered decision making. Your main focus will be
* Collecting creating and manipulating large complex datasets to produce validated simulation inputs
* Designing simulation experiments by considering the optimization targets variable spaces and computational cost
* Querying simulation outputs generating metrics and establishing robust data analysis frameworks to quantify the impact of the solutions
* Creating compelling data visualizations to communicate system performance and identify improvement areas
* Producing reports that suggests tradeoffs and informs decisions
* Staying up to date with the best data tools to automate data workflows
* Collaborating crossfunctionally with software developers domain experts scientists and business stakeholders to understand the business goals translate them into datadrive projects and deliver impactful results.
A day in the life
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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