Amazon Scholars Dirk Bergamann and Michael Kearns
Amazon Scholars Dirk Bergemann (left) and Michael Kearns, each of whom has been elected recently to prestigious science organizations.
Credit: Yale/UPenn
Economics

Two Amazon Scholars elected to prestigious science organizations

Yale economics professor Dirk Bergemann elected to American Academy of Arts & Sciences; University of Pennsylvania computer science professor Michael Kearns elected to National Academy of Sciences.

By Staff writer
April 28, 2021
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Two Amazon Scholars recently have been elected to prestigious science organizations that promote the advancement of science for the public good.

Dirk Bergemann, the Douglas and Marion Campbell Professor of Economics at Yale University last week was one of 252 individuals elected to the American Academy of Arts & Sciences (AAAS).  Earlier this week, Michael Kearns, a professor in the Computer and Information Science Department at the University of Pennsylvania, where he holds the National Center Chair, was one of 120 individuals elected to the National Academy of Sciences (NAS).  

Dirk Bergemann recognized by AAAS

Bergemann is one of seven economists, and one of 14 Yale faculty members elected to the Academy in 2021; new members also include media entrepreneur and philanthropist Oprah Winfrey, atmospheric scientist Anne Thompson, computer scientist Fei-Fei Li, and neurosurgeon and medical correspondent Sanjay Gupta.  

“We are honoring the excellence of these individuals, celebrating what they have achieved so far, and imagining what they will continue to accomplish,” said David Oxtoby, AAAS president, in announcing the new members.

Bergemann, who earlier this year became an Amazon Scholar working within Amazon’s grocery supply chain organization, joined Yale in 1995 as an assistant professor. He has secondary appointments as professor of computer science in Yale’s School of Engineering, and as professor of finance in the School of Management.

He also has been affiliated with the Cowles Foundation for Research in Economics at Yale since 1996, and a fellow of the Econometric Society since 2007. He earned his PhD in economics from the University of Pennsylvania in 1994. 

Bergemann’s research interests include game theory, contract theory, venture capital and market design. He has published extensively; most recently, he’s focused on dynamic mechanism design and dynamic pricing, robust mechanism, and information design.  

“The news regarding the election to the Academy was a wonderful surprise,” said Bergemann. “It is thrilling to have my research on auction, learning and experimentation and market design recognized by the Academy. And I am certainly looking forward to bringing some of those insights and ideas to the expanding grocery supply at Amazon.”

The Academy was founded in 1780 by John Adams, John Hancock, and others who believed the new republic should honor exceptionally accomplished individuals and engage them in advancing the public good. The Academy’s mission remains essentially the same today as members from increasingly diverse fields collaborate to share ideas and recommendations in the arts, democracy, education, global affairs, and science.

The list of all 2021 new members is available here.  One of the Academy’s longest-standing traditions is the writing of letters accepting election to membership. Since 1781, the Academy has received communications in a variety of formats.  Some of the members’ letters are available to view online.

Michael Kearns honored by NAS

Kearns joined the University of Pennsylvania faculty in 2002. He holds secondary appointments in the Economics department, as well as the departments of Statistics and Operations, and Information and Decisions within Penn’s Wharton School of Business. Kearns joined Amazon as a scholar in June 2020, and is focusing his efforts within the AWS organization on algorithmic fairness and privacy.

Kearns and Penn computer science professor colleague Aaron Roth are coauthors of the book “The Ethical Algorithm: The Science of Socially Aware Algorithm Design.” Earlier this year, the coauthors were awarded a 2021 PROSE Award by the Association of American Publishers in the computing and information sciences category. Kearns has published extensively in the areas of machine learning, algorithmic game theory, network science, computational social science, and algorithmic trading.

“I’m obviously excited and honored to be elected to the NAS, and I look forward to participating in their important studies and other activities,” Kearns said. “In that regard, my time at Amazon has given me practical industrial experience that will complement my academic background as well.”

With this year’s class, the NAS now has 2,461 active members, and 511 international members. International members are nonvoting members, with citizenship outside the United States.

The NAS is a nonprofit institution established under a congressional charter signed by President Abraham Lincoln in 1863. It recognizes achievement in science by election to membership and, along with the National Academy of Engineering and the National Academy of Medicine, provides science, engineering, and health policy advice to the federal government and other organizations.

More information about the Amazon Scholars and Amazon Visiting Academics programs is available in our Academic Engagements section.

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US, MA, Cambridge
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Senior Applied Scientist
US, NY, New York
Our team produces the long term forecasts for Amazon that support numerous strategic and tactical decisions and systems within Amazon. We are looking for a new Applied Scientist that can help us build the next generation of forecast systems in Topline. As a Senior Applied Scientist, you are an expert in Machine Learning, Deep Learning or High Frequency forecasting who is enthusiastic working with large time-series datasets. You will help us create our next generation line of Topline long horizon forecast engines. You have experience with Deep Learning, but also know time series. You are enthusiastic about modeling but also at investigating strong signals and their interactions.A day in the lifeYou will:1. Explore data: sift through large sets of data to investigate features and signals that might be good predictors2. Build Forecasting and Predictive Models: explore forecasting and predictive methods to help us model and forecast Topline demand3. Improve our overall strategy: you think strategically and see the big-modeling-picture and have a good intuition of which modeling components to build in order to have the largest impact4. You are an excellent coder who writes and organizes code with robustness and keeping an eye for the future5. You are a builder and are passionate about creating our next generation modeling stack.6. You are customer obsessed and work backwards from customer needs.About the hiring groupWe are a team of Data Scientists, Economists, Research and Applied Scientists with expertise in Econometrics, Time Series, Machine Learning and Data Science.Job responsibilities1. Drive model development: explore long horizon forecasting strategies2. Explore data: implement robust feature and signal extraction models and seek signals that support our models and/or insights3. Analyze performance: run backtests and analyze the relative performance of your models4. Write robust scalable code that will be the foundation of our Topline forecasts5. Articulate and deliver insights to the teamAmazon 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.
Research Scientist III
US, WA, Seattle
Have you ever ordered a product on Amazon and when that box with the smile arrived you wondered how it got to you so fast? Have you wondered where it came from and how much it cost Amazon to deliver it to you? If so, the WW Amazon Logistics, Business Analytics team is for you. We manage the delivery of tens of millions of products every week to Amazon’s customers, achieving on-time delivery in a cost-effective manner.We are looking for an enthusiastic, customer obsessed, Operations Research Scientist with good analytical skills to help manage projects and operations, implement scheduling solutions, improve metrics, and develop scalable processes and tools.The primary role of an Operations Research Scientist within Amazon is to address business challenges through building a compelling case, and using data to influence change across the organization. This individual will be given responsibility on their first day to own those business challenges and the autonomy to think strategically and make data driven decisions. Decisions and tools made in this role will have significant impact to the customer experience, as it will have a major impact on how the final phase of delivery is done at Amazon.Strong candidates will be a high potential, strategic and analytic graduate with a PhD in (Operations Research, Statistics, Engineering, and Supply Chain) ready for challenging opportunities in the core of our world class operations space. Great candidates have a history of operations research, and the ability to use data and research to make changes.This role requires robust program management skills and research science skills in order to act on research outcomes. This individual will need to be able to work with a team, but also be comfortable making decisions independently, in what is often times an ambiguous environment.Responsibilities may include:· Develop input and assumptions based preexisting models to estimate the costs and savings opportunities associated with varying levels of network growth and operations· Creating metrics to measure business performance, identify root causes and trends, and prescribe action plans· Managing multiple projects simultaneously· Working with technology teams and product managers to develop new tools and systems to support the growth of the business· Communicating with and supporting various internal stakeholders and external audiences
Applied Scientist
US, WA, Bellevue
As we strive to be Earth's most customer-centric company, Amazon has reinvented how hundreds of millions of people shop online – providing Customers with the opportunity to find and discover virtually anything they want to buy and providing millions of Sellers with a platform for growing successful businesses. Thousands of Amazon Sellers ship their orders directly from their own warehouse and we are building software to help them offer their items through programs like Seller Fulfilled Prime, Fulfillment by Amazon Onsite, Merchant Fulfilled Same Day Delivery, and Premium. We innovate and design our services and tools with a focus on customer and seller experience, followed by our focus on technology and worldwide scaling.The Seller Fulfillment Services team is looking for an Applied Scientist to be based in Bellevue area. As a key member of SFS, you will provide machine learning expertise that helps accelerate the business. You will build various data and machine learning models that help us innovate different ways to enhance the customer experience. You will need to be entrepreneurial, wear many hats, and work in a highly collaborative environment. We like to move fast, experiment, iterate and then scale quickly, thoughtfully balancing speed and quality.An ideal candidate will be an expert in the areas of machine learning and statistics who will have expertise in applying theoretical models in an applied environment. The candidate will be expected to work on numerous aspects of Machine Learning such as feature engineering, predictive modeling, probabilistic modeling, hyper-parameter tuning, scalable inference methods and latent variable models including transfer learning. Challenges will involve dealing with very large data sets and requirements on throughput.Responsibilities include:· Design, implement, test, deploy, and maintain innovative data and machine learning solutions to accelerate our business.· Create experiments and prototype implementations of new learning algorithms and prediction techniques· Collaborate with scientists, engineers, product managers, and stockholders to design and implement software solutions for science problems· Use machine learning best practices to ensure a high standard of quality for all of the team deliverablesAmazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation / Age
Data Scientist III
US, WA, Seattle
How to use the world’s richest collection of e-commerce data to improve payments experience for our customers? Amazon Consumer Payments Global Data Science team seeks a Sr. Data Scientist for building analytical solutions that will address increasingly complex business questions in the North America Credit space.Amazon.com has a culture of data-driven decision-making and demands insights that are timely, accurate, and actionable. This team provides a fast-paced environment where every day brings new challenges and new opportunities.As a Sr. Data Scientist in this team, you will be driving the analytics roadmap and will provide descriptive and predictive solutions to the North America Credit business team through a combination of data mining techniques as well as use statistical and machine learning techniques for segmentation and prediction. You will need to collaborate effectively with internal stakeholders, cross-functional teams to solve problems, create operational efficiencies, and deliver successfully against high organizational standards.Responsibilities· Demonstrate thorough technical knowledge on feature engineering of massive datasets, effective exploratory data analysis, and model building using industry standard regression and classification techniques such as Random Forest, XGBoost package, Keras framework· Understand the business reality behind large sets of data and develop meaningful solutions comprising of analytics as well as marketing management· Work closely with internal stakeholders like the business teams, engineering teams and partner teams and align them with respect to your focus area· Innovate by adapting new modeling techniques and procedures· You should be passionate about working with huge data sets and be someone who loves to bring datasets together to answer business questions. You should have deep expertise in creation and management of datasets· You should have exposure at implementing and operating stable, scalable data flow solutions from production systems into end-user facing applications/reports. These solutions will be fault tolerant, self-healing and adaptive· You will extract huge volumes of data from various sources and message streams and construct complex analyses. You will implement data flow solutions that process data real time on message streams from source systems· You should be detail-oriented and must have an aptitude for solving unstructured problems. You should work in a self-directed environment, own tasks and drive them to completion.· You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions and to build data sets that answer those questions· Your teams will work with distributed machine learning and statistical algorithms upon a large Hadoop cluster to harness enormous volumes of online data at scale to serve our customers
Sr. Research Scientist - Sustainability / Carbon Neutralization
US, WA, Seattle
Amazon’s commitment to The Climate Pledge motivates us to work both inside and outside of our business operations to enact carbon emissions mitigation. Along with the emissions reduction initiatives within our business operations, we have a robust strategy aligned with climate science for tackling climate change outside of our business, beginning with nature-based solutions. As we continue to develop and innovate, Amazon is seeking an experienced Research Scientist to help us identify, evaluate, and guide research efforts in nature-based solutions as well as emerging areas. The ideal candidate will have a deep understanding of carbon cycles and be able to evaluate projects and initiatives across a wide range of natural and technological climate mitigation measures from a first-principles perspective. They will have expertise in one or more types of climate solutions, but more importantly will understand the broad field of solutions.The successful candidate will be part of the team executing on Amazon’s commitment to The Climate Pledge. They will need to work with others to create a system to evaluate nature-based and technological climate solution projects, and make recommendations to senior leadership. This will require strong writing skills and an ability to translate technical material for a general audience.Key Responsibilities:· Evaluate nature-based and technological climate solution projects using a scientifically rigorous first-principles approach.· Evaluate project and research proposals.· Collaborate with internal and external teams to scope, execute, and evaluate highly technical initiatives related to nature-based and technological climate solution projects.· Translate findings into reports and presentations that can be shared internally and externally.· Respond to time-critical questions from multiple business teams and communicate professionally with senior business leaders.
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