Economist, WHS Science

Overview

The Workplace Health and Safety Central Science (WHS-CS) team researches factors that drive safety outcomes and identifies effective improvement programs. We partner with business teams on scientific problems, use data strategically for decision-making, and help bring a scientific lens to WHS as we work to make Amazon Earth’s safest employer in the industries in which it operates. A successful candidate will be able to partner effectively with both business and technical teams, including clear communication of results and the ability to influence a variety of stakeholders.

The ideal candidate will have experience applying causal inference techniques and impact estimation, and be curious and excited to apply these in challenging real-world settings. They will thrive in working to deliver impactful solutions to the business problem, in the face of ambiguity over which modeling approaches will deliver the best results.

• Work with engineers and data scientists on large-scale data modeling
• Combine strong economic expertise with interdisciplinary learning
• Execute big ideas as part of a technical team
• Apply expertise in causal modeling and machine learning to measure the impact of key initiatives on safety outcomes
• Develop and maintain attribution models to understand the key drivers of safety performance
• Design experiments to measure pilot programs and support the scaling of successful experiments
• Collaborate with business stakeholders, product managers, and executive-level decision makers to synthesize findings into actionable insights

Work with teammates to apply economic methods to business problems. This might include identifying the appropriate research questions, writing code to implement a DID analysis or estimate a structural model, or writing and presenting a document with findings to business leaders. Our economists also collaborate with partner teams throughout the process, from understanding their challenges, to developing a research agenda that will address those challenges, to helping them implement solutions.

We are a multidisciplinary team that combines the talents of science and engineering to develop innovative solutions to make Amazon Earth's Safest Employer for the industries in which it operates. Our charter is to deliver technology solutions and data insights that help reduce workplace risks and injuries  customers are Worldwide (WW) Operations and the WHS organization. We conduct scientific research and modeling to generate actionable safety insights and provide analytical solutions.

• PhD in economics or equivalent
• 2+ years of industry, consulting, government, or academic research experience
• Knowledge of at least one statistical software package such as R, Stata, Matlab, SAS
• Experience in prediction and forecasting in a research or industrial environment
• Experience with handling of large datasets

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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, including support for the interview or onboarding process, please visit the accommodations page for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave.

Learn more about our benefits at the benefits page.

USA, WA, Bellevue -  -  USD annually