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Employment Type : Full-Time
• Master’s degree in a quantitative field • Solid background in statistics and machine learning, quantitative approaches to business problem solving. • 5+ years of research experience in a quantitative field and/or product development • 1+ year experience programming with a mathematical programming language such as Python, R, MATLAB, or SAS or major programming language such as Python, Java, C++, C#, or C
Job summary The AWS Workforce Planning Product, Engineering and Science team is looking for a Senior Research Scientist with expertise in applying causal inference, experimental design, or causal machine learning techniques to topics in labor, personnel, education, health, public, or behavioral science. We are particularly interested in candidates with experience applying these skills to strategic problems with significant business and/or social policy impact. Candidates will work with economists, product managers and engineers to estimate and validate their models on large scale data, and will help business partners turn the results of their analysis into policies, programs, and actions that have a major impact on Amazon’s business and its workforce. We are looking for creative thinkers who can combine a strong scientific toolbox with a desire to learn from others, and who know how to execute and deliver on big ideas. Key job responsibilities You will conduct, direct, and coordinate all phases of research projects, including defining key research questions, developing models, designing and implementing appropriate data collection methods, executing analysis plans, and communicating results. You will earn trust from our business partners by collaborating with them to define key research questions, communicate scientific approaches and findings, listen to and incorporate their feedback, and deliver successful solutions. About the team The AWS Workforce Planning Product, Engineering and Science team has the mission to put the right people in the right place at the right time to staff all of AWS, building scalable and robust software solutions that plan the AWS workforce and support execution to plan. We harness economics, behavioral science, statistics, and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, wellbeing, and the value of work to Amazonians. We are an interdisciplinary team that combines the talents of product, science and engineering to develop and deliver solutions that measurably achieve this goal.
The pay range for this position in Colorado is $362K - $521K yearly, however, base pay offered may vary depending on job-related knowledge, skills, and experience. A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided per the Colorado Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazon's internal or external careers site.
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.