CASY-MSCCN Jobs

Description

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, which simultaneously improve Amazon and the lives, wellbeing, and the value of work of Amazonians. We are an interdisciplinary team which combines the talents of science and engineering to develop and deliver solutions that measurably achieve this goal. We invest in innovation and rapid prototyping of scientific models, AI/ML technologies and software solutions to accelerate informed, accurate, and reliable decision backed by science and data. As a research scientist you will 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

• 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 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 full life cycle of large-scale research programs (Develop strategy, gather requirements, manage and execute)

• 2+ years of PhD-level coursework in statistics

• Experience applying scientific principles and concepts to business problems and products

• Experience with data analysis packages (R, Stata, Python, etc.)

• Experience using SQL databases to manage and analyze large data sets

Basic Qualifications

• PhD in a quantitative field, or MS degree and 1+ years of quantitative field research experience

• Experience investigating the feasibility of applying scientific principles and concepts to business problems and products

• Experience with data analysis package (R, SAS, Matlab, etc.)

• Experience using SQL databases to manage and analyze large data sets

Preferred Qualifications

• PhD in computer science, statistics, applied mathematics, or applied statistics.

• Experience applying machine learning and predictive models to forecasting, data mining, feature selection for regression, and/or causal models

• 1-3 years of experience conducting large-scale applied research studies

• Experience conducting statistical inference, hypothesis testing, and fitting ML predictive models using large administrative and survey databases

• Experience developing and validating survey measures or assessments

• Advanced Statistics (longitudinal data analysis, factor analysis, IRT, causal analysis, HLM, cluster analysis or SEM/Path Analysis)

• Experience leading research projects with multiple stakeholders

• Domain expertise in researching work-related behavior

• Experience providing thought leadership and consultation

• Demonstrable experience in any of the following areas (multiple areas preferred): sample design, conjoint surveys, data wrangling, nonresponse adjustment, survey weighting, causal analysis, experimental design, multiple imputation

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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $113,000/year in our lowest geographic market up to $195,200/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.