Economics

Amazon is looking for an outstanding Senior Economist to help build next generation selection/assortment systems. On the Specialized Selection team within the Supply Chain Optimization Technologies (SCOT) organization, we own the selection to determine which products Amazon offers in our fastest delivery programs. We build tools and systems that enable our partners and business owners to scale themselves by leveraging our problem domain expertise, focusing instead on introspecting our outputs and iteratively helping us improve our ML models rather than hand-managing their assortment. We partner closely with our business stakeholders as we work to develop state-of-the-art, scalable, automated selection.Our team is highly cross-functional and employs a wide array of scientific tools and techniques to solve key challenges, including supervised and unsupervised machine learning, non-convex optimization, causal inference, natural language processing, linear programming, reinforcement learning, and other forecast algorithms. Some critical research areas in our space include modeling substitutability between similar products, incorporating basket awareness and complementarity-aware logic, measuring speed sensitivity of products, modeling network capacity constraints, and supply and demand forecasting.We're looking for a candidate with a background in experiment design and causal analysis to lead studies related to selection and speed. Potential projects include understanding the short-term and long-term customer impact of assortment changes across different speed. As an Senior Economist, you'll build econometric models using our world-class data systems and apply economic theory to solve business problems in a fast-moving environment. You will work with software engineers, product managers, and business teams to understand the business problems and requirements, distill that understanding to crisply define the problem, and design and develop innovative solutions to address them. To be successful in this role, you'll need to communicate effectively with product and tech teams, and translate data-driven findings into actionable insights. You'll thrive if you enjoy tackling ambiguous challenges using the economics toolkit and identifying and solving problems at scale. We have a supportive, fast-paced team culture, and we prioritize learning, growth, and helping each other continuously raise the bar.Key job responsibilities- Lead data-driven econometric studies to create future business opportunities- Consult with stakeholders in Selection and other teams to help solve existing business challenges- Independently identify and pursue new opportunities to leverage economic insights- Advise senior leaders and collaborate with other scientists to drive innovation- Support innovative delivery program growth worldwide- Write business and technical documents communicating business context, methods, and results to business leadership and other scientists- Serve as a technical lead and mentor for junior scientists, ensuring a high science bar- Serve as a technical reviewer for our team and related teams, including document and code reviewsBASIC QUALIFICATIONS- PhD in economics or equivalent- Experience in econometrics (e.g., program evaluation, forecasting, time series, panel data, or high dimensional problems), economic theory, and quantitative methods- Experience in building statistical models using R, Python, STATA, or a related software- Experience in industry, consulting, government or academic research- Familiar with various experimental designs and their applications ...

The Central Science Team within Amazon’s People Experience and Technology org (PXTCS) uses economics, machine learning, behavioral science, and statistics 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 of economists and scientists, which combines the talents of science and engineering to develop and deliver solutions that measurably achieve this goal. We are seeking a motivated Economist intern who are eager to learn how to work with large complicated data sets and apply economic toolbox to solve strategic problems with significant business and/or social policy impact. Some knowledge of econometrics, as well as familiarity with Python, R, or Stata is necessary. Experience with SQL is a plus. As an Economist on the team, you will partner with other Economists and Scientists on a research project. You will drive the design, implementation, and validation of large-scale causal inference methodologies, as well as communicate scientific approaches and findings to science and business leaders. These are full-time positions at 40 hours per week, with compensation being awarded on an hourly basis. You will learn how to build data sets and perform applied econometric analysis at Internet speed collaborating with economists, scientists, and product managers. These skills will translate well into writing applied chapters in your dissertation and provide you with work experience that may help you with placement.Roughly 85% of previous cohorts have converted to full time scientist employment at Amazon. If you are interested, please send your CV to our mailing list at econ-internship@amazon.com.BASIC QUALIFICATIONS- PhD student in Economics (enrolled in 3rd year or more and not currently on the job market) ...

Fulfillment by Amazon (FBA) enables third-party sellers to use Amazon’s world-class science and logistics infrastructure to fulfill customer orders worldwide with lightning-fast delivery speeds. In doing so, sellers can spend more time building great products, delight customers, and grow their business.FBA Science is looking for an Economist intern with strong econometrics, machine learning, and empirical industrial organization skills to join our cross-domain group of economists, applied scientists, research scientists, and data scientists. We are looking for detail-oriented, organized, and responsible individuals who are eager to learn how to work with large datasets to tackle complex research questions. Some knowledge of econometrics and machine learning are necessary, as is a basic familiarity with Python. Experience with SQL is a plus.These are full-time positions at 40 hours per week, with compensation being awarded on an hourly basis. You will learn how to build data sets and perform applied econometric analysis collaborating with economists, scientists, and product managers. These skills will translate well into writing applied chapters in your dissertation and provide you with work experience that may help you with placement.Roughly 85% of previous cohorts have converted to full time economist employment at Amazon. If you are interested, please send your CV to our mailing list at econ-internship@amazon.com. BASIC QUALIFICATIONS - PhD student in Economics (enrolled in 3rd year or more and not currently on the job market) ...

The Central Science Team within Amazon’s People Experience and Technology org (PXTCS) uses economics, 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, which combines the talents of science and engineering to develop and deliver solutions that measurably achieve this goal.We are looking for an economist with expertise in applying causal inference methods, especially experimental design to topics in labor, personnel, education, or behavioral economics. We are particularly interested in candidates with experience applying these skills to strategic problems with significant business and/or social policy impact.The candidate will work with economists 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 a creative thinker who can combine a strong economic toolbox with a desire to learn from others, and who knows how to execute and deliver on big ideas.Ideal candidates will own key inputs to all stages of research projects, including model development, survey administration, experimental design, and data analysis. They will be customer-centric, working closely with business partners to define key research questions, communicate scientific approaches and findings, listen to and incorporate partner feedback, and deliver successful solutions.BASIC QUALIFICATIONSPhD in economics or related field.Knowledge of data analysis languages (e.g., R, Stata, Python, etc.) or other statistical software ...

At Amazon, we're committed to pioneering new frontiers in customer experience, and Fashion Tech is at the forefront of this mission. Our programs and technologies are revolutionizing how customers interact with fashion products, presenting unique challenges and opportunities for quantifying their economic impact. We're seeking a highly experienced Economist with expertise in causal modeling to lead our efforts in understanding the economic impact of our efforts in this dynamic space.Over the years, teams across Amazon have built systems that can value content and even optimize what is shown based on relevant ‘value’ metrics. However, understanding attribution and program incrementality continue to be challenges that require tying the business context with the most relevant methodology from an array of possible ones. The person in this role will work with finance, CBA and business owners to define the right metrics and methodologies to compute attributed and incremental value of programs and features, while leveraging existing frameworks wherever applicable. We want to answer questions like “If this program didn’t exist, what is the total economic value to Amazon that we would stand to lose?” and “What is the ongoing business impact of this CX post-launch?”. Key job responsibilities- Spearhead collaborative efforts with finance, CBA (Cost-Benefit Analysis), and business teams to define robust metrics and methodologies for measuring the attributed and incremental value of Fashion Tech programs and features.- Develop advanced frameworks and models to assess the causal economic impact of content, programs, and customer experience enhancements throughout the customer purchase funnel.- Lead the resolution of complex challenges related to content attribution and program incrementality, leveraging existing systems and methodologies while exploring innovative approaches where necessary.- Conduct in-depth economic analyses to address critical business questions, such as estimating the economic value of key programs and evaluating the ongoing business impact of post-launch customer experience improvements.- Drive cross-functional collaboration with data scientists, economists, and business leaders to integrate economic insights into strategic decision-making processes and shape future initiatives.- Stay at the forefront of industry trends, economic research, and best practices in causal modeling and econometric techniques, continuously enhancing our methodologies and frameworks to ensure relevance and effectiveness.About the teamThe Fashion Tech organization has a mission to make Amazon the most-loved fashion destination globally through technology by building novel experiences that bring a diverse breadth of customers to shop fashion in the Amazon store. The Fashion Intelligence team improves the speed, accuracy, and standards of data driven decisions across all programs within Fashion Tech. As a central analytics team, our goal is to break silos and identify interconnectedness across Fashion Tech programs, keeping the customer at the center.Here at Fashion & Fitness, we are inspired to never stop embracing our uniqueness for both our employees and our customers. BASIC QUALIFICATIONS- PhD in economics or equivalent ...

This is a Department of Labor Registered Apprenticeship Program.The Amazon Economics organization is seeking highly skilled and motivated individuals to join our 2-year Pre-Doctoral Program. As an Apprentice, you will have the unique opportunity to work alongside full-time Amazon Economists and academic mentors, gaining hands-on experience in cutting-edge economic research. Key Responsibilities:* Collaborate with cross-functional teams to tackle real-world business challenges using advanced economic methodologies and large, complex data sets* Develop proficiency in economic analysis, data management, and statistical programming (Python, R, Stata)* Acquire research skills and experiences to strengthen your PhD program applicationsProgram Benefits:* Mentorship from seasoned Amazon Economists and university professors* Guidance on PhD program prerequisites and admissions coaching* Exposure to fast-paced business research lifecycle, from data collection to decision impactWe are committed to cultivating a diverse and inclusive research community. Individuals from underrepresented backgrounds are strongly encouraged to apply.To apply, please submit a single PDF bundle including: your CV/resume, academic transcripts, and a research writing sample with a personal statement outlining your research interests and career goals.The Apprenticeship Program is based in Seattle, WA.Apprenti will act as the Apprenticeship Intermediary, managing the apprentice employment process, providing pay and benefits to apprentices, maintaining documentation and fulfilling statutory reporting requirements for all apprentices registered in the Apprenti program. Amazon is responsible for providing meaningful work opportunity and providing day-to-day apprentice supervision, from instructor led training to development in on the job learning.BASIC QUALIFICATIONS- Enrolled in the final year of their bachelor’s program or have recently obtained their bachelor’s degree.- Graduate education (M.A./M.S.) and prior work experience is considered in the application process but not required.. ...