Research Scientist, GREF T&I

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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 Amazon’s 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 self-starter comfortable with ambiguity, have strong attention to detail, be able to work in a fast-paced 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 real-world problems by analyzing large amounts of operational, behavioral, and sentiment-based 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 best-practices, and work done by other teams.
  

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• PhD, or Master's 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
  

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• Hands-on 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, quasi-experiments, 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 Company’s 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t 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 $136,000/year in our lowest geographic market up to $212,800/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.