Description

The Fulfillment by Amazon (FBA) and Supply Chain by Amazon (SCA) enable third-party sellers to use Amazon's world-class science and logistics infrastructure to supply and fulfill customers worldwide with unprecedented fast delivery promise to customer. In doing so, sellers spend more time building great products, delight customers and grow their business.

The FBA team is looking for a Senior Economist with strong machine learning, causal inference, and econometrics skills to join our cross-domain group of economists, applied scientists, research scientists, and data scientists. As a Senior Economist, you will be part of a high-impact team designing and implementing cutting edge machine learning and causal models, incentive mechanisms, experiments to evaluate and (re)design new products and policies, quantify the impact of FBA workflows, seller recommendations, and information on seller decisions and outcomes, while collaborating with business and software teams to solve key challenges facing the worldwide FBA business.

We are seeking someone who can thrive in a fast-paced, high-energy, and fun-to-work environment where the team delivers value incrementally and frequently. We value highly technical people who know their subject matter deeply and are willing to learn new areas. We look for individuals who know how to deliver results and show a desire to develop themselves, their colleagues, and their careers.

Key job responsibilities

• Research and develop machine learning and causal models at scale to solve diverse and complex economic/business problems faced in seller inventory and capacity management systems.

• Provide data-driven guidance on strategic questions facing the FBA leadership.

• Design and conduct experiments to validate theories and improve understanding of Amazon's third-party seller ecosystem.

• Develop mechanisms to align millions of sellers' decisions with those of customers' needs through better coordinating inventory, inbound, and capacity related decisions.

• Collaborate with product managers, scientists, and software developers to incorporate models into production processes and influence senior leaders.

About the team

Sellers play a vital role in Amazon's ecosystem, integral to our mission of offering the Earth's largest selection and lowest prices. FBA is a service that enables third-party sellers to outsource order fulfillment to Amazon, and leverage Amazon's world-class facilities to provide customers Prime delivery promise. By partnering with Amazon, sellers benefit from powerful, cost-effective solutions that leverage our scale and technology, gain access to Prime members worldwide, increase their sales, and have more time to continue inventing amazing products for customers. With commitment to taking on even more of the supply chain and operational complexities on behalf of our selling partners, Amazon introduced Supply Chain by Amazon (SCA), an end-to-end, fully automated suite of supply chain services. This comprehensive solution empowers sellers to quickly and reliably transport products from manufacturing sites to customers worldwide. Amazon Warehousing and Distribution (AWD) is a pivotal service in SCA that provides best-in-class bulk storage and distribution services to sellers, ensuring they remain well-stocked across all their sale and fulfillment channels while reducing the total supply chain costs. The FBA team is the core group in charge of fulfillment, inventory management, pricing, and a diverse range of operational recommendation services for sellers, as well as building the internal resource management systems. We work to learn seller behavior, understand seller experience, build automated assistants to sellers, recommend right actions to sellers, design seller policies and incentives, and develop science products and services that empower third-party sellers to grow their businesses. To do so, we build and innovate science solutions at the intersection of machine learning, statistics, economics, operations research, and data analytics. We work full-stack, from foundational backend systems to future-forward user interfaces. Our culture is centered on rapid prototyping, rigorous experimentation, and data-driven decision-making.

We are open to hiring candidates to work out of one of the following locations:

Bellevue, WA, USA

Basic Qualifications

• PhD in economics or equivalent

• Experience in building statistical models using R, Python, STATA, or a related software

• Several years of experience in academia, private sector, consulting or government.

• Hands on experience in applied economic analysis with big data, machine learning, causal models, and data science.

• Ability to handle multiple competing priorities in a fast-paced environment.

• Excellent written and verbal communication skills.

Preferred Qualifications

• Experience in implementing modern machine-learning methods (e.g., boosted regression trees, random forests, neural networks)

• Experience in econometrics (e.g., program evaluation, forecasting, time series, panel data, or high dimensional problems), economic theory, and quantitative methods

• Programming experience in at least one modern programming language such as Python, Java, or C++.

• High-quality academic publications in Economics.

• Ability to identify and successfully pitch the value of new ideas to business leaders.

• Proven ability to work effectively in a cross-functional team.

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 $127,300/year in our lowest geographic market up to $247,600/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.