Research Scientist GREF TI
Research Scientist GREF TI
Posted on :
02-05-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 136000 - 212800
Vacancy
1 Vacancy
Posted on :
02-05-2025
Job Description
This is a unique opportunity to help shape the workplace experience for Amazonians around the world. The Global Real Estate and Facilities (GREF) organization is responsible for creating the spaces that inspire Amazonians to make history. The globally diverse team manages Amazons corporate offices in more than 60 countries. GREF provides real estate transactions expertise business partnering space and occupancy planning design and construction capital investment program management facility maintenance and operations all contributing to the employee experience and leveraging places and programs to enable culture to thrive at Amazon.
Within GREF the Customer Insights team represents the voice of the Amazonian throughout the workplace journey. We surface insights that help GREF deliver a workplace experience that enables Amazonians to do their best work while at the office.
We are seeking a highly skilled and analytical Research Scientist to join our growing Global Customer Insights team. As a Research Scientist in GREF you will play an integral part in the measurement and optimization of the Amazon workplace. You will have the opportunity to work with large datasets including sentiment related data and space utilization sensor data to enable a holistic understanding of the Amazonian experience and how the office is currently supporting needs.
A successful candidate will have a passion for clarity be a selfstarter comfortable with ambiguity have strong attention to detail be able to work in a fastpaced and entrepreneurial environment and be driven by a desire to innovate. Given the complex nature of the questions we are working on the ideal candidate will be relentlessly curious and be able to/be interested in having the business conversation underlying the data.
Key job responsibilities
Adapt and develop new research methodologies to accelerate and advance discovery of customer insights.
Solve realworld problems by analyzing large amounts of operational behavioral and sentimentbased data diving deep to identify business insights and opportunities designing simulations and experiments developing statistical models classification algorithms clustering techniques network analysis by tailoring to business needs and collaborating with UX Researchers Scientists BIEs and Product/Program Managers.
Write code (Python R SAS STATA SPSS etc. to analyze data and build innovative statistical and machine learning models to drive workplace experience improvements.
Translate business problems into specific analytical questions and form hypotheses that can be answered with available data using scientific methods or identify additional data needed in the master datasets to fill any gaps.
Retrieve analyze synthesize and present historical data in a format that is immediately useful to answer specific questions improve system performance or support decision making.
Conduct written and verbal presentation to share insights and recommendations to audiences of varying levels of technical sophistication.
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 bestpractices and work done by other teams.
PhD or Masters degree and 4 years of quantitative field research experience
Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
Experience analyzing both experimental and observational data sets
Handson experience with R SAS STATA or SPSS
Experience with SQL experience big data technologies (e.g. AWS Tools)
Experience developing survey questionnaires to deliver insights against specific research objectives
Experience in causal modeling like graphical models causal Bayesian network potential outcomes A/B testing experiments quasiexperiments and data science workflows
Experience working with human behavior tracking data a plus
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
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 $136000/year in our lowest geographic market up to $212800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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.
Within GREF the Customer Insights team represents the voice of the Amazonian throughout the workplace journey. We surface insights that help GREF deliver a workplace experience that enables Amazonians to do their best work while at the office.
We are seeking a highly skilled and analytical Research Scientist to join our growing Global Customer Insights team. As a Research Scientist in GREF you will play an integral part in the measurement and optimization of the Amazon workplace. You will have the opportunity to work with large datasets including sentiment related data and space utilization sensor data to enable a holistic understanding of the Amazonian experience and how the office is currently supporting needs.
A successful candidate will have a passion for clarity be a selfstarter comfortable with ambiguity have strong attention to detail be able to work in a fastpaced and entrepreneurial environment and be driven by a desire to innovate. Given the complex nature of the questions we are working on the ideal candidate will be relentlessly curious and be able to/be interested in having the business conversation underlying the data.
Key job responsibilities
Adapt and develop new research methodologies to accelerate and advance discovery of customer insights.
Solve realworld problems by analyzing large amounts of operational behavioral and sentimentbased data diving deep to identify business insights and opportunities designing simulations and experiments developing statistical models classification algorithms clustering techniques network analysis by tailoring to business needs and collaborating with UX Researchers Scientists BIEs and Product/Program Managers.
Write code (Python R SAS STATA SPSS etc. to analyze data and build innovative statistical and machine learning models to drive workplace experience improvements.
Translate business problems into specific analytical questions and form hypotheses that can be answered with available data using scientific methods or identify additional data needed in the master datasets to fill any gaps.
Retrieve analyze synthesize and present historical data in a format that is immediately useful to answer specific questions improve system performance or support decision making.
Conduct written and verbal presentation to share insights and recommendations to audiences of varying levels of technical sophistication.
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 bestpractices and work done by other teams.
PhD or Masters degree and 4 years of quantitative field research experience
Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
Experience analyzing both experimental and observational data sets
Handson experience with R SAS STATA or SPSS
Experience with SQL experience big data technologies (e.g. AWS Tools)
Experience developing survey questionnaires to deliver insights against specific research objectives
Experience in causal modeling like graphical models causal Bayesian network potential outcomes A/B testing experiments quasiexperiments and data science workflows
Experience working with human behavior tracking data a plus
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
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 $136000/year in our lowest geographic market up to $212800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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.
Employment Type
Full-Time
Key Skills
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