Logo
Amazon

Research Scientist, People eXperience Technology Central Science (PXTCS)

Amazon, Seattle, Washington, us, 98127


Research Scientist, People eXperience Technology Central Science (PXTCS)

Job ID: 2849916 | Amazon.com Services LLC The People eXperience and Technology (PXT) Central Science Team uses economics, behavioral science, statistics, and machine learning to proactively identify mechanisms, process improvements and products that improve Amazon and the lives, wellbeing, and value of work of Amazonians. We are an interdisciplinary team that combines the talents of science and engineering to develop and deliver solutions that achieve this goal. As a research scientist, you will design and carry out surveys to address business questions; analyze survey and other forms of data with regression models; perform weighting and multiple imputation to reduce bias due to nonresponse. You will conduct methodological and statistical research to understand the quality of survey data. You will work with economists, engineers, and computer scientists to select samples, draft and test survey questions, calculate nonresponse adjusted weights, and estimate regression models on large scale data. You will evaluate, diagnose, understand, and surface drivers and moderators for key research streams, including (but are not limited to) attrition, engagement, productivity, inclusion, and Amazon culture.

Key job responsibilities:

Help to design and execute a scalable global content development and validation strategy to drive more effective decisions and improve the employee experience across all of Amazon. Conduct psychometric and econometric analyses to evaluate the integrity and practical application of survey questions and data. Identify and execute research streams to evaluate how to mitigate or remove sources of measurement error. Partner closely and drive effective collaborations across multi-disciplinary research and product teams. Manage the full life cycle of large-scale research programs (develop strategy, gather requirements, manage and execute). BASIC QUALIFICATIONS

- 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. PREFERRED QUALIFICATIONS

- Knowledge of R, MATLAB, Python or similar scripting language. - Experience with agile development. - Experience building web-based dashboards using common frameworks. 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, please visit

this link

for more information. 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

this link . Posted:

November 7, 2024 (Updated 1 day ago) Location:

USA, WA, Virtual Location - Washington

#J-18808-Ljbffr