"Alerted.org

Description

Lead a team of economists, data scientists, and applied scientists in Amazon's People Experience and Technology organization. This role combines advanced economic research, team leadership, and strategic planning to drive innovations that enhance the employee experience and organizational effectiveness at Amazon.

You'll develop and implement sophisticated causal and predictive models, leveraging economic theory, behavioral science, and advanced analytics to identify improvements in people processes and policies. Working closely with cross-functional partners, you'll translate complex economic insights into actionable recommendations for senior leadership.

Key job responsibilities

As a Manager III, Economist, you will lead a team of economists, data scientists, and applied scientists working to solve complex economic and scientific problems that have high business and customer impact. You will be responsible for building causal and predictive models, working with engineering teams to deploy science models to products, leveraging economic and data science workflows, and driving innovations that deliver measurable results for Amazon customers. The key responsibilities of the position include:

Leadership & Team Management: Independently manage and develop a diverse team of economists and scientists, creating an environment that enables consistent delivery and innovation; Build and maintain a high-performing team that can operate effectively and autonomously; Drive strategic growth opportunities for team members, providing paths to demonstrate higher-level scope, impact, and leadership; Establish clear performance metrics and audit mechanisms to track and communicate team progress; Foster a team culture focused on bringing research to production and delivering customer value.

Technical & Economic Direction: Partner with stakeholders and leadership to define and execute the economic research vision for your team; Lead the development of causal and predictive models, leveraging emerging technologies and novel identification strategies; Drive the implementation of economic analysis workflows and simulation frameworks; Bridge the gap between economic theory, empirical analysis, and business requirements; Leverage the broader Amazon scientific community to enhance team capabilities and knowledge sharing.

Strategic Planning & Execution: Define and maintain team structure, strategic direction, and owned methodologies; Establish processes that enable consistent delivery and quality of economic research; Drive reasonable schedules and adjust priorities to ensure optimal outcomes; Create and implement audit mechanisms to track team performance against goals; Remove roadblocks and optimize team productivity.

Communication & Influence: Create well-written documents to effectively communicate economic insights to technical and non-technical audiences; Influence economic research and analytics practices across the organization; Build strong partnerships with stakeholders across different business units; Present complex economic findings to senior leadership; Drive adoption of best practices and innovative solutions.

About the team

The Central Science Team within Amazon's People Experience and Technology org uses economic theory, causal inference, behavioral science, statistics, and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, well-being, and the value of work to Amazonians. We are an interdisciplinary team combining expertise in economics, social science, and data science to develop and deliver solutions that measurably achieve this goal.

Basic Qualifications

- PhD in economics or equivalent

- 5+ years of post PhD experience experience

- Expertise in economic research and causal inference, including: causal identification strategies (e.g., instrumental variables, regression discontinuity, difference-in-differences); experimental design (A/B testing, randomized controlled trials, quasi-experiments); advanced econometric and statistical methods. Experience can be obtained through work experience or advanced degree (Master's or Ph.D.) in Economics, Econometrics, Public Policy, or related fields. Experience in statistical programming languages such as R, Python, or Stata. Experience with SQL and database management.

Preferred Qualifications

- Advanced experience in economic research domains, including: labor economics; personnel economics; applied microeconomics; behavioral economics. Advanced leadership and communication skills, including: proven track record of hiring, coaching, and developing economic research talent; experience effectively consulting with senior management and executives; success driving evidence-based decisions in fast-paced environments; history of leading cross-functional research initiatives. Experience with economic research design, including: ability to evaluate and compare different identification strategies based on business requirements; understanding of practical tradeoffs between model complexity, statistical power, and feasibility; track record of identifying and addressing implementation challenges; experience with end-to-end research project management and policy implementation

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 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 $157,600/year in our lowest geographic market up to $272,400/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.