Posts from Seattle, United States

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· PhD in Statistics, Computer Science, Math, EE, CS or highly related field (Marketing)
· 10+ years of experience in industry, consulting, government, or academic research
· Experience with big data and machine learning or data science
· Coding ability in a scripting language such as Python, R or scala



The Human Resources Central Science Team (HRCS) uses economics, behavioral science, statistics, and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, wellbeing, 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 outstanding applied scientist who is able to provide structure around complex science and business problems, work with economists and engineers to estimate and validate their models on large scale data, and who can help business and econ partners turn the results of their analysis into policies, programs, and actions that have a major impact on Amazon’s business. We are looking for creative thinkers who can combine a strong economic toolbox with a desire to learn from others, and who know how to execute and deliver on big ideas.

At the senior level, we expect you be able to own the development of scientific models and to manage, in close collaboration with scientists and engineers, the data analysis, modeling, and experimentation that is necessary for estimating and validating your model. You will need to work with our business partners to communicate the properties of your analysis/modeling and be able to work to incorporate their feedback and requests into your project.

We are particularly interested in candidates with research background in nature language understanding, experimental design, reinforcement learning, search/recommendation in working on innovative, strategic problems with significant business impact.

#amazon #amazon-jobs #career #no-business-category #principal-applied-scientist
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· PhD student in Economics
· Knowledge of econometrics
· Familiarity with Stata/R
· Attention to detail



The Amazon Economics Team is hiring Interns in Economics. We are looking for detail-oriented, organized, and responsible individuals who are eager to learn how to work with large and complicated data sets. Some knowledge of econometrics, as well as basic familiarity with Stata or R is necessary, and experience with SQL, UNIX, and Sawtooth would be 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 at Internet speed collaborating with economists, data scientists and MBAʼs. 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 50% of research assistants from previous cohorts have converted to full time data science or economics employment at Amazon. If you are interested, send your CV, transcripts, and a cover letter to our mailing list at econ-internship@amazon.com.


Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation

#amazon #amazon-jobs #career #global-corporate #intern--economics
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· PhD in Economics or related field
· three or more years of experience in a postdoctoral position; or, two or more years of experience in consulting, government or academic research
· Hands on experience with at least one of the following: Matlab, R, Python, Stata
· Strong background in econometrics (e.g., program evaluation, forecasting, time series, panel data, and/or high dimensional problems), economic theory, and quantitative methods
· Experience building and growing teams of Economists or machine learning scientists



Economists at Amazon are solving some of the most challenging applied economics questions in the tech sector. Amazon economists apply the frontier of economic thinking to market design, pricing, forecasting, program evaluation, online advertising and other areas. Our economists build econometric models using our world class data systems, and apply economic theory to solve business problems in a fast moving environment. A career at Amazon affords economists the opportunity to work with data of unparalleled quality, apply rigorous applied econometric approaches, and work with some of the most talented applied econometricians in the trade.

We are looking for a seasoned leader to manage a talented team of economists and machine learning scientists to build long-term causal estimation products using a combination of econometrics, machine learning and statistics leveraging the power of big data. These products lay the foundation of several key initiatives and strategic program investments at Amazon, generating multiple $Bns in incremental value across the company. In this role, you will work closely with some of the leading researchers on causal inference like Guido Imbens (Professor of Economics at Stanford University) and Victor Chernozhukov (Professor of Economics at MIT).

Key Responsibilities:
- Applies deep expertise in causal modeling to develop large-scale systems that are deployed across the company. Reviews and audits modeling processes and results for other scientists, both junior and senior.
- Describes strategic importance of vision inside and outside of team. Identifies business opportunities, define the problem and roadmap to solve it. Brings a department or company-wide perspective in decision making.
- Leads the project plan from a scientific perspective on small to medium product launches including identifying potential risks, key milestones, and paths to mitigate risks
- Coaches and gives feedback to direct reports to help develop talent and support career development
- Sets and balances goals across team to optimize performance against department goals and employee development. Identifies resource needs for the team.



#amazon #amazon-jobs #career #operations #manager-economist
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1. PhD in economics, finance, quantitative marketing, or related field.
2. 5+ years of relevant, broad research science experience after PhD degree
3. Advanced coding ability in a scripting language such as STATA, R, and python



The Human Resources Central Science Team (HRCS) uses economics, behavioral science, statistics, and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, wellbeing, 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 outstanding economists who are able to provide structure around complex business problems, hone those complex problems in to specific, scientific questions, and test those questions to generate insights. The ideal candidate will work with engineers and computer scientists to estimate models and algorithms on large scale data, design pilots and measure their impact, and transform successful prototypes into improved policies and programs at scale. We are looking for creative thinkers who can combine a strong technical economic toolbox with a desire to learn from other disciplines, and who know how to execute and deliver on big ideas as part of an interdisciplinary technical team.

Ideal candidates will work closely with business partners to develop science that solves the most important business challenges. They will work well in a team setting with individuals from diverse disciplines and backgrounds. They will serve as an ambassador for science and a scientific resource for business teams, so that scientific processes permeate throughout the HR organization to the benefit of Amazonians and Amazon. Ideal candidates will own the development of scientific models and manage the data analysis, modeling, and experimentation that is necessary for estimating and validating model model. They will work closely with engineering teams to develop scalable data resources to support rapid insights, and take successful models and findings into production as new products and services. They will be customer-centric – clearly communicating scientific approaches and findings to business leaders, listening to and incorporate their feedback, and delivering successful scientific solutions.


#amazon #amazon-jobs #career #retail #economist
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· Ph.D. in economics or related finance field
· 10+ years of post PhD work experience in industry, consulting, government or academic research or equivalent
· Strong background in empirical industrial organization
· Advanced coding ability in a scripting language such as Python, R, and STATA



The DAC AdsEcon Team is looking for an experienced PhD economist. The ideal candidate will have expertise in Empirical Industrial Organization, particularly in auction. You will lead science projects using cutting edge econometrics and ML to advance science behind our advertisement business.

Advertising is used daily to surface new selection and provide customers a wider set of product choices along their shopping journeys. The business is focused on generating value for shoppers as well as advertisers. Our team uses a combination of econometrics, machine learning, and data science to build disruptive products for all our Advertising products. We also generate insights to guide Amazon Advertising strategy, providing direct support to senior leadership.

#amazon #amazon-jobs #career #business-and-corporate-development #principal-economist
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